klinger.bib
@inproceedings{Plazadelarco2022,
title = {Natural Language Inference Prompts for Zero-shot
Emotion Classification in Text across Corpora},
author = {Plaza-del-Arco, Flor Miriam and
Mart{\'\i}n-Valdivia, Mar{\'\i}a-Teresa and Klinger,
Roman},
booktitle = {Proceedings of the 29th International Conference on
Computational Linguistics},
month = oct,
year = {2022},
address = {Gyeongju, Republic of Korea},
publisher = {International Committee on Computational
Linguistics},
url = {https://aclanthology.org/2022.coling-1.592},
pdf = {https://www.romanklinger.de/publications/PlazaDelArcoMartinValdiviaKlinger.pdf},
url = {https://arxiv.org/abs/2209.06701},
pages = {6805--6817},
abstract = {Within textual emotion classification, the set of
relevant labels depends on the domain and
application scenario and might not be known at the
time of model development. This conflicts with the
classical paradigm of supervised learning in which
the labels need to be predefined. A solution to
obtain a model with a flexible set of labels is to
use the paradigm of zero-shot learning as a natural
language inference task, which in addition adds the
advantage of not needing any labeled training
data. This raises the question how to prompt a
natural language inference model for zero-shot
learning emotion classification. Options for prompt
formulations include the emotion name anger alone or
the statement {``}This text expresses
anger{''}. With this paper, we analyze how sensitive
a natural language inference-based
zero-shot-learning classifier is to such changes to
the prompt under consideration of the corpus: How
carefully does the prompt need to be selected? We
perform experiments on an established set of emotion
datasets presenting different language registers
according to different sources (tweets, events,
blogs) with three natural language inference models
and show that indeed the choice of a particular
prompt formulation needs to fit to the corpus. We
show that this challenge can be tackled with
combinations of multiple prompts. Such ensemble is
more robust across corpora than individual prompts
and shows nearly the same performance as the
individual best prompt for a particular corpus.},
internaltype = {conf}
}
@inproceedings{mohr-whrl-klinger:2022:LREC,
author = {Mohr, Isabelle and W\"uhrl, Amelie and Klinger, Roman},
title = {CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets},
booktitle = {Proceedings of the Language Resources and Evaluation Conference},
month = {June},
year = {2022},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {244--257},
abstract = {During the first two years of the COVID-19 pandemic, large volumes of biomedical information concerning this new disease have been published on social media. Some of this information can pose a real danger, particularly when false information is shared, for instance recommendations how to treat diseases without professional medical advice. Therefore, automatic fact-checking resources and systems developed specifically for medical domain are crucial. While existing fact-checking resources cover COVID-19 related information in news or quantify the amount of misinformation in tweets, there is no dataset providing fact-checked COVID-19 related Twitter posts with detailed annotations for biomedical entities, relations and relevant evidence. We contribute CoVERT, a fact-checked corpus of tweets with a focus on the domain of biomedicine and COVID-19 related (mis)information. The corpus consists of 300 tweets, each annotated with named entities and relations. We employ a novel crowdsourcing methodology to annotate all tweets with fact-checking labels and supporting evidence, which crowdworkers search for online. This methodology results in substantial inter-annotator agreement. Furthermore, we use the retrieved evidence extracts as part of a fact-checking pipeline, finding that the real-world evidence is more useful than the knowledge directly available in pretrained language models.},
url = {https://aclanthology.org/2022.lrec-1.26},
internaltype = {conf},
pdf = {http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.26.pdf}
}
@inproceedings{whrl-klinger:2022:LREC,
author = {W\"uhrl, Amelie and Klinger, Roman},
title = {Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)},
booktitle = {Proceedings of the Language Resources and Evaluation Conference},
month = {June},
year = {2022},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {4439--4450},
abstract = {Text mining and information extraction for the medical domain has focused on scientific text generated by researchers. However, their access to individual patient experiences or patient-doctor interactions is limited. On social media, doctors, patients and their relatives also discuss medical information. Individual information provided by laypeople complements the knowledge available in scientific text. It reflects the patient's journey making the value of this type of data twofold: It offers direct access to people's perspectives, and it might cover information that is not available elsewhere, including self-treatment or self-diagnose. Named entity recognition and relation extraction are methods to structure information that is available in unstructured text. However, existing medical social media corpora focused on a comparably small set of entities and relations. In contrast, we provide rich annotation layers to model patients' experiences in detail. The corpus consists of medical tweets annotated with a fine-grained set of medical entities and relations between them, namely 14 entity (incl. environmental factors, diagnostics, biochemical processes, patients' quality-of-life descriptions, pathogens, medical conditions, and treatments) and 20 relation classes (incl. prevents, influences, interactions, causes). The dataset consists of 2,100 tweets with approx. 6,000 entities and 2,200 relations.},
url = {https://aclanthology.org/2022.lrec-1.472},
internaltype = {conf},
pdf = {http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.472.pdf}
}
@inproceedings{troiano-EtAl:2022:LREC,
author = {Troiano, Enrica and Oberlaender, Laura Ana Maria and Wegge, Maximilian and Klinger, Roman},
title = {x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations},
booktitle = {Proceedings of the Language Resources and Evaluation Conference},
month = {June},
year = {2022},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {1365--1375},
abstract = {Emotion classification is often formulated as the task to categorize texts into a predefined set of emotion classes. So far, this task has been the recognition of the emotion of writers and readers, as well as that of entities mentioned in the text. We argue that a classification setup for emotion analysis should be performed in an integrated manner, including the different semantic roles that participate in an emotion episode. Based on appraisal theories in psychology, which treat emotions as reactions to events, we compile an English corpus of written event descriptions. The descriptions depict emotion-eliciting circumstances, and they contain mentions of people who responded emotionally. We annotate all experiencers, including the original author, with the emotions they likely felt. In addition, we link them to the event they found salient (which can be different for different experiencers in a text) by annotating event properties, or appraisals (e.g., the perceived event undesirability, the uncertainty of its outcome). Our analysis reveals patterns in the co-occurrence of people’s emotions in interaction. Hence, this richly-annotated resource provides useful data to study emotions and event evaluations from the perspective of different roles, and it enables the development of experiencer-specific emotion and appraisal classification systems.},
url = {https://aclanthology.org/2022.lrec-1.146},
internaltype = {conf},
pdf = {http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.146.pdf}
}
@inproceedings{Kadikis2022,
title = {Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference},
author = {Kadi{\c{k}}is, Em{\=\i}ls and
Srivastav, Vaibhav and
Klinger, Roman},
booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
month = jul,
year = {2022},
address = {Seattle, United States},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2022.naacl-main.441},
pages = {6031--6037},
abstract = {The task of natural language inference (NLI), to decide if a hypothesis entails or contradicts a premise, received considerable attention in recent years. All competitive systems build on top of contextualized representations and make use of transformer architectures for learning an NLI model. When somebody is faced with a particular NLI task, they need to select the best model that is available. This is a time-consuming and resource-intense endeavour. To solve this practical problem, we propose a simple method for predicting the performance without actually fine-tuning the model. We do this by testing how well the pre-trained models perform on the aNLI task when just comparing sentence embeddings with cosine similarity to what kind of performance is achieved when training a classifier on top of these embeddings. We show that the accuracy of the cosine similarity approach correlates strongly with the accuracy of the classification approach with a Pearson correlation coefficient of 0.65. Since the similarity is orders of magnitude faster to compute on a given dataset (less than a minute vs. hours), our method can lead to significant time savings in the process of model selection.},
internaltype = {conf}
}
@inproceedings{Papay2022,
title = {Constraining Linear-chain {CRF}s to Regular Languages},
author = {Sean Papay and Roman Klinger and Sebastian Pado},
booktitle = {International Conference on Learning Representations},
year = {2022},
url = {https://openreview.net/forum?id=jbrgwbv8nD},
url = {https://arxiv.org/abs/2106.07306},
internaltype = {conf}
}
@inproceedings{Wuehrl2021b,
author = {Amelie W\"uhrl and Roman Klinger},
title = {Claim Detection in Biomedical Twitter Posts as a Prerequisite for Fact-Checking},
year = {2021},
booktitle = {Proceedings of the BioCreative VII Challenge Evaluation Workshop},
url = {https://biocreative.bioinformatics.udel.edu/media/store/files/2021/Posters_pos_1_BC7_Wuehrl.pdf},
internaltype = {conf}
}
@inproceedings{DoanDang2021,
title = {Emotion Stimulus Detection in {G}erman News
Headlines},
author = {Doan Dang, Bao Minh and Oberl{\"a}nder, Laura and
Klinger, Roman},
booktitle = {Proceedings of the 17th Conference on Natural
Language Processing (KONVENS 2021)},
month = {6--9 } # sep,
year = {2021},
address = {D{\"u}sseldorf, Germany},
publisher = {KONVENS 2021 Organizers},
url = {https://aclanthology.org/2021.konvens-1.7},
pages = {73--85},
internaltype = {conf}
}
@inproceedings{Casel2021,
title = {Emotion Recognition under Consideration of the
Emotion Component Process Model},
author = {Casel, Felix and Heindl, Amelie and Klinger, Roman},
booktitle = {Proceedings of the 17th Conference on Natural
Language Processing (KONVENS 2021)},
month = {6--9 } # sep,
year = {2021},
address = {D{\"u}sseldorf, Germany},
publisher = {KONVENS 2021 Organizers},
url = {https://aclanthology.org/2021.konvens-1.5},
pages = {49--61},
internaltype = {conf}
}
@inproceedings{Hofmann2020b,
title = {Appraisal Theories for Emotion Classification in
Text},
author = {Hofmann, Jan and Troiano, Enrica and Sassenberg, Kai
and Klinger, Roman},
booktitle = {Proceedings of the 28th International Conference on
Computational Linguistics},
month = dec,
year = {2020},
address = {Barcelona, Spain (Online)},
publisher = {International Committee on Computational
Linguistics},
url = {https://www.aclanthology.org/2020.coling-main.11},
doi = {10.18653/v1/2020.coling-main.11},
pages = {125--138},
abstract = {Automatic emotion categorization has been
predominantly formulated as text classification in
which textual units are assigned to an emotion from
a predefined inventory, for instance following the
fundamental emotion classes proposed by Paul Ekman
(fear, joy, anger, disgust, sadness, surprise) or
Robert Plutchik (adding trust, anticipation). This
approach ignores existing psychological theories to
some degree, which provide explanations regarding
the perception of events. For instance, the
description that somebody discovers a snake is
associated with fear, based on the appraisal as
being an unpleasant and non-controllable
situation. This emotion reconstruction is even
possible without having access to explicit reports
of a subjective feeling (for instance expressing
this with the words {``}I am afraid.{''}). Automatic
classification approaches therefore need to learn
properties of events as latent variables (for
instance that the uncertainty and the mental or
physical effort associated with the encounter of a
snake leads to fear). With this paper, we propose to
make such interpretations of events explicit,
following theories of cognitive appraisal of events,
and show their potential for emotion classification
when being encoded in classification models. Our
results show that high quality appraisal dimension
assignments in event descriptions lead to an
improvement in the classification of discrete
emotion categories. We make our corpus of
appraisal-annotated emotion-associated event
descriptions publicly available.},
pdf = {http://www.romanklinger.de/publications/HofmannTroianoSassenbergKlinger.pdf},
internaltype = {conf}
}
@inproceedings{Troiano2020,
title = {Lost in Back-Translation: Emotion Preservation in
Neural Machine Translation},
author = {Troiano, Enrica and Klinger, Roman and Pad{\'o},
Sebastian},
booktitle = {Proceedings of the 28th International Conference on
Computational Linguistics},
month = dec,
year = {2020},
address = {Barcelona, Spain (Online)},
publisher = {International Committee on Computational
Linguistics},
url = {https://www.aclanthology.org/2020.coling-main.384},
doi = {10.18653/v1/2020.coling-main.384},
pages = {4340--4354},
url = {http://www.romanklinger.de/publications/TroianoKlingerPado-coling2020.pdf},
internaltype = {conf}
}
@inproceedings{Oberlaender2020,
title = {Token Sequence Labeling vs. Clause Classification
for {E}nglish Emotion Stimulus Detection},
author = {Oberl{\"a}nder, Laura Ana Maria and Klinger, Roman},
booktitle = {Proceedings of the Ninth Joint Conference on Lexical
and Computational Semantics},
month = dec,
year = {2020},
address = {Barcelona, Spain (Online)},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/2020.starsem-1.7},
pages = {58--70},
url = {http://www.romanklinger.de/publications/OberlaenderKlingerSTARSEM2020.pdf},
internaltype = {conf}
}
@inproceedings{Papay2020,
title = {Dissecting Span Identification Tasks with
Performance Prediction},
author = {Papay, Sean and Klinger, Roman and Pad{\'o},
Sebastian},
booktitle = {Proceedings of the 2020 Conference on Empirical
Methods in Natural Language Processing (EMNLP)},
month = nov,
year = {2020},
address = {Online},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/2020.emnlp-main.396},
doi = {10.18653/v1/2020.emnlp-main.396},
pages = {4881--4895},
url = {http://www.romanklinger.de/publications/PapayKlingerPado2020.pdf},
internaltype = {conf}
}
@inproceedings{Haider2020,
title = {{PO}-{EMO}: Conceptualization, Annotation, and
Modeling of Aesthetic Emotions in {G}erman and
{E}nglish Poetry},
author = {Haider, Thomas and Eger, Steffen and Kim, Evgeny and
Klinger, Roman and Menninghaus, Winfried},
booktitle = {Proceedings of The 12th Language Resources and
Evaluation Conference},
month = may,
year = {2020},
address = {Marseille, France},
publisher = {European Language Resources Association},
url = {https://www.aclanthology.org/2020.lrec-1.205},
pages = {1652--1663},
language = {English},
pdf = {http://www.romanklinger.de/publications/HaiderEgerKimKlingerMenninghaus2020LREC_PO-EMO.pdf},
internaltype = {conf}
}
@inproceedings{Bostan2020,
title = {{G}ood{N}ews{E}veryone: A Corpus of News Headlines
Annotated with Emotions, Semantic Roles, and Reader
Perception},
author = {Bostan, Laura Ana Maria and Kim, Evgeny and Klinger,
Roman},
booktitle = {Proceedings of The 12th Language Resources and
Evaluation Conference},
month = may,
year = {2020},
address = {Marseille, France},
publisher = {European Language Resources Association},
url = {https://www.aclanthology.org/2020.lrec-1.194},
pages = {1554--1566},
language = {English},
isbn = {979-10-95546-34-4},
pdf = {http://www.romanklinger.de/publications/BostanKimKlinger2020LREC.pdf},
internaltype = {conf}
}
@inproceedings{Sabbatino2020,
title = {Automatic Section Recognition in Obituaries},
author = {Sabbatino, Valentino and Bostan, Laura Ana Maria and
Klinger, Roman},
booktitle = {Proceedings of The 12th Language Resources and
Evaluation Conference},
month = may,
year = {2020},
address = {Marseille, France},
publisher = {European Language Resources Association},
url = {https://www.aclanthology.org/2020.lrec-1.102},
pages = {817--825},
language = {English},
pdf = {http://www.romanklinger.de/publications/valentino2020.pdf},
internaltype = {conf}
}
@inproceedings{Cevher2019,
author = {Deniz Cevher and Sebastian Zepf and Roman Klinger},
title = {Towards Multimodal Emotion Recognition in German
Speech Events in Cars using Transfer Learning},
booktitle = {Proceedings of the 15th Conference on Natural
Language Processing (KONVENS 2019): Long Papers},
year = {2019},
address = {Erlangen, Germany},
publisher = {German Society for Computational Linguistics \&
Language Technology},
pages = {79--90},
pdf = {http://www.romanklinger.de/publications/CevherZepfKlinger2019.pdf},
url = {https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/papers/KONVENS2019_paper_16.pdf},
internaltype = {conf}
}
@inproceedings{Troiano2019,
title = {Crowdsourcing and Validating Event-focused Emotion
Corpora for {G}erman and {E}nglish},
author = {Troiano, Enrica and Pad{\'o}, Sebastian and Klinger,
Roman},
booktitle = {Proceedings of the 57th Annual Meeting of the
Association for Computational Linguistics},
month = jul,
year = {2019},
address = {Florence, Italy},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/P19-1391},
pdf = {http://www.romanklinger.de/publications/TroianoPadoKlingerACL2019.pdf},
pages = {4005-4011},
internaltype = {conf}
}
@inproceedings{Kim2019,
title = {Frowning {F}rodo, Wincing {L}eia, and a Seriously
Great Friendship: Learning to Classify Emotional
Relationships of Fictional Characters},
author = {Kim, Evgeny and Klinger, Roman},
booktitle = {Proceedings of the 2019 Conference of the North
{A}merican Chapter of the Association for
Computational Linguistics: Human Language
Technologies, Volume 1 (Long and Short Papers)},
month = jun,
year = {2019},
address = {Minneapolis, Minnesota},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/N19-1067},
pages = {647-653},
pdf = {http://www.romanklinger.de/publications/KimKlingerNAACL2019.pdf},
internaltype = {conf}
}
@inproceedings{McHardy2019,
title = {Adversarial Training for Satire Detection:
Controlling for Confounding Variables},
author = {McHardy, Robert and Adel, Heike and Klinger, Roman},
booktitle = {Proceedings of the 2019 Conference of the North
{A}merican Chapter of the Association for
Computational Linguistics: Human Language
Technologies, Volume 1 (Long and Short Papers)},
month = jun,
year = {2019},
address = {Minneapolis, Minnesota},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/N19-1069},
url = {http://www.romanklinger.de/publications/McHardyAdelKlinger-NAACL2019.pdf},
pages = {660-665},
internaltype = {conf}
}
@inproceedings{Adel2018,
author = {Heike Adel and Laura Ana Maria Bostan and Sean Papay
and Sebastian Padó and Roman Klinger},
title = {{DERE}: A Task and Domain-Independent Slot Filling
Framework for Declarative Relation Extraction},
booktitle = {Proceedings of the 2018 Conference on Empirical
Methods in Natural Language Processing: System
Demonstrations},
year = {2018},
address = {Brussels, Belgium},
month = {October, November},
publisher = {Association for Computational Linguistics},
pdf = {http://aclanthology.org/D18-2008},
internaltype = {conf}
}
@inproceedings{Strohm2018,
author = {Florian Strohm and Roman Klinger},
title = {An Empirical Analysis of the Role of Amplifiers,
Downtoners, and Negations in Emotion Classification
in Microblogs},
booktitle = {The 5th IEEE International Conference on Data
Science and Advanced Analytics, Special Track on
Sentiment, Emotion, and Credibility of Information
in Social Data},
year = {2018},
series = {DSAA},
address = {Turin, Italy},
month = {October},
organization = {IEEE},
doi = {10.1109/DSAA.2018.00087},
pdf = {http://www.romanklinger.de/publications/StrohmKlinger-DSAA2018.pdf},
internaltype = {conf}
}
@inproceedings{Bostan2018,
author = {Bostan, Laura Ana Maria and Klinger, Roman},
title = {An Analysis of Annotated Corpora for Emotion
Classification in Text},
booktitle = {Proceedings of the 27th International Conference on
Computational Linguistics},
year = {2018},
publisher = {Association for Computational Linguistics},
pages = {2104-2119},
location = {Santa Fe, New Mexico, USA},
url = {http://aclanthology.org/C18-1179},
internaltype = {conf}
}
@inproceedings{Kim2018,
author = {Kim, Evgeny and Klinger, Roman},
title = {Who Feels What and Why? Annotation of a Literature
Corpus with Semantic Roles of Emotions},
booktitle = {Proceedings of the 27th International Conference on
Computational Linguistics},
year = {2018},
publisher = {Association for Computational Linguistics},
pages = {1345-1359},
location = {Santa Fe, New Mexico, USA},
url = {http://aclanthology.org/C18-1114},
internaltype = {conf}
}
@inproceedings{Barnes2018a,
author = {Barnes, Jeremy and Klinger, Roman and Schulte im
Walde, Sabine},
title = {Projecting Embeddings for Domain Adaption: Joint
Modeling of Sentiment Analysis in Diverse Domains},
booktitle = {Proceedings of the 27th International Conference on
Computational Linguistics},
year = {2018},
publisher = {Association for Computational Linguistics},
pages = {818-830},
location = {Santa Fe, New Mexico, USA},
url = {http://aclanthology.org/C18-1070},
internaltype = {conf}
}
@inproceedings{Hartung2018,
author = {Hartung, Matthias and ter Horst, Hendrik and Grimm,
Frank and Diekmann, Tim and Klinger, Roman and
Cimiano, Philipp},
title = {SANTO: A Web-based Annotation Tool for
Ontology-driven Slot Filling},
booktitle = {Proceedings of ACL 2018, System Demonstrations},
month = {July},
year = {2018},
address = {Melbourne, Australia},
publisher = {Association for Computational Linguistics},
pages = {68-73},
abstract = {Supervised machine learning algorithms require
training data whose generation for complex relation
extraction tasks tends to be difficult. Being
optimized for relation extraction at sentence level,
many annotation tools lack in facilitating the
annotation of relational structures that are widely
spread across the text. This leads to non-intuitive
and cumbersome visualizations, making the annotation
process unnecessarily time-consuming. We propose
SANTO, an easy-to-use, domain-adaptive annotation
tool specialized for complex slot filling tasks
which may involve problems of cardinality and
referential grounding. The web-based architecture
enables fast and clearly structured annotation for
multiple users in parallel. Relational structures
are formulated as templates following the
conceptualization of an underlying
ontology. Further, import and export procedures of
standard formats enable interoperability with
external sources and tools.},
url = {http://www.aclanthology.org/P18-4012},
internaltype = {conf}
}
@inproceedings{Barnes2018,
author = {Barnes, Jeremy and Klinger, Roman and Schulte im
Walde, Sabine},
title = {Bilingual Sentiment Embeddings: Joint Projection of
Sentiment Across Languages},
booktitle = {Proceedings of the 56th Annual Meeting of the
Association for Computational Linguistics (Volume 1:
Long Papers)},
month = {July},
year = {2018},
address = {Melbourne, Australia},
publisher = {Association for Computational Linguistics},
pages = {2483-2493},
abstract = {Sentiment analysis in low-resource languages suffers
from a lack of annotated corpora to estimate
high-performing models. Machine translation and
bilingual word embeddings provide some relief
through cross-lingual sentiment approaches. However,
they either require large amounts of parallel data
or do not sufficiently capture sentiment
information. We introduce Bilingual Sentiment
Embeddings (BLSE), which jointly represent sentiment
information in a source and target language. This
model only requires a small bilingual lexicon, a
source-language corpus annotated for sentiment, and
monolingual word embeddings for each language. We
perform experiments on three language combinations
(Spanish, Catalan, Basque) for sentence-level
cross-lingual sentiment classification and find that
our model significantly out- performs
state-of-the-art methods on four out of six
experimental setups, as well as capturing
complementary information to machine
translation. Our analysis of the resulting embedding
space provides evidence that it represents sentiment
information in the resource-poor target language
without any annotated data in that language.},
url = {http://www.aclanthology.org/P18-1231},
internaltype = {conf}
}
@inproceedings{Terhorst2018,
author = {Ter Horst, Hendrik and Matthias Hartung and Roman
Klinger and Nicole Brazda and Hans Werner Müller and
Philipp Cimiano},
title = {Assessing the Impact of Single and Pairwise Slot
Constraints in a Factor Graph Model for
Template-based Information Extraction},
booktitle = {Natural Language Processing and Information Systems:
23rd International Conference on Applications of
Natural Language to Information Systems, NLDB 2018,
Paris, France, June 13-15, 2018, Proceedings},
year = {2018},
publisher = {Springer International Publishing},
address = {Cham},
url = {https://doi.org/10.1007/978-3-319-91947-8_18},
pdf = {http://www.romanklinger.de/publications/terhorst2018.pdf},
note = { ###bp###},
internaltype = {conf}
}
@inproceedings{Thorne2018,
author = {Camilo Thorne and Roman Klinger},
title = {On the Semantic Similarity of Disease Mentions in
MEDLINE and Twitter},
booktitle = {Natural Language Processing and Information Systems:
23rd International Conference on Applications of
Natural Language to Information Systems, NLDB 2018,
Paris, France, June 13-15, 2018, Proceedings},
year = {2018},
publisher = {Springer International Publishing},
address = {Cham},
url = {https://doi.org/10.1007/978-3-319-91947-8_34},
pdf = {http://www.romanklinger.de/publications/thorne2018.pdf},
internaltype = {conf}
}
@inproceedings{Barth2018,
author = {Florian Barth and Evgeny Kim and Sandra Murr and
Roman Klinger},
title = {A Reporting Tool for Relational Visualization and
Analysis of Character Mentions in Literature},
booktitle = {Book of Abstracts -- Digital Humanities im
deutschsprachigen Raum},
year = {2018},
address = {Cologne, Germany},
month = {March},
url = {http://www.romanklinger.de/publications/BarthKimMurrKlinger2018.html},
pdf = {http://www.romanklinger.de/publications/barth2018dhd.pdf},
url = {http://dhd2018.uni-koeln.de/wp-content/uploads/boa-DHd2018-web-ISBN.pdf},
internaltype = {confabstracts}
}
@inproceedings{Braun2018,
author = {Manuel Braun and Roman Klinger and Sebastian Pad\'o and Gabriel Viehhauser},
title = {{Digitale Modellierung von Figurenkomplexität am Beispiel des Parzival von Wolfram von Eschenbach}},
booktitle = {Book of Abstracts -- Digital Humanities im deutschsprachigen Raum},
year = {2018},
address = {Cologne, Germany},
month = {March},
url = {http://www.romanklinger.de/publications/BraunKlingerPadoViehhauser2018.html},
pdf = {http://www.romanklinger.de/publications/viehhauser2018dhd.pdf},
url = {http://dhd2018.uni-koeln.de/wp-content/uploads/boa-DHd2018-web-ISBN.pdf},
internaltype = {confabstracts}
}
@inproceedings{Hartung2017,
author = {Hartung, Matthias and Klinger, Roman and Schmidtke,
Franziska and Vogel, Lars},
editor = {Frasincar, Flavius and Ittoo, Ashwin and Nguyen, Le
Minh and M{\'e}tais, Elisabeth},
title = {Identifying Right-Wing Extremism in German Twitter
Profiles: A Classification Approach},
booktitle = {Natural Language Processing and Information Systems:
22nd International Conference on Applications of
Natural Language to Information Systems, NLDB 2017,
Li{\`e}ge, Belgium, June 21-23, 2017, Proceedings},
year = {2017},
publisher = {Springer International Publishing},
address = {Cham},
pages = {320-325},
isbn = {978-3-319-59569-6},
doi = {10.1007/978-3-319-59569-6_40},
url = {http://dx.doi.org/10.1007/978-3-319-59569-6_40},
pdf = {http://www.romanklinger.de/publications/hartung2017-NLDB-short.pdf},
internaltype = {conf}
}
@inproceedings{Saenger2017,
author = {S{\"a}nger, Mario and Leser, Ulf and Klinger, Roman},
editor = {Frasincar, Flavius and Ittoo, Ashwin and Nguyen, Le
Minh and M{\'e}tais, Elisabeth},
title = {Fine-Grained Opinion Mining from Mobile App Reviews
with Word Embedding Features},
booktitle = {Natural Language Processing and Information Systems:
22nd International Conference on Applications of
Natural Language to Information Systems, NLDB 2017,
Li{\`e}ge, Belgium, June 21-23, 2017, Proceedings},
year = {2017},
publisher = {Springer International Publishing},
address = {Cham},
pages = {3-14},
isbn = {978-3-319-59569-6},
doi = {10.1007/978-3-319-59569-6_1},
url = {http://dx.doi.org/10.1007/978-3-319-59569-6_1},
pdf = {http://www.romanklinger.de/publications/saenger2017-nldb.pdf},
internaltype = {conf}
}
@inproceedings{Klinger2017,
author = {Klinger, Roman},
editor = {Frasincar, Flavius and Ittoo, Ashwin and Nguyen, Le
Minh and M{\'e}tais, Elisabeth},
title = {Does Optical Character Recognition and Caption
Generation Improve Emotion Detection in Microblog
Posts?},
booktitle = {Natural Language Processing and Information Systems:
22nd International Conference on Applications of
Natural Language to Information Systems, NLDB 2017,
Li{\`e}ge, Belgium, June 21-23, 2017, Proceedings},
year = {2017},
publisher = {Springer International Publishing},
address = {Cham},
pages = {313-319},
isbn = {978-3-319-59569-6},
doi = {10.1007/978-3-319-59569-6_39},
url = {http://dx.doi.org/10.1007/978-3-319-59569-6_39},
pdf = {http://www.romanklinger.de/publications/klinger2017-nldb.pdf},
internaltype = {conf}
}
@inproceedings{Kicherer2017,
author = {Kicherer, Hanna and Dittrich, Marcel and Grebe,
Lukas and Scheible, Christian and Klinger, Roman},
editor = {Frasincar, Flavius and Ittoo, Ashwin and Nguyen, Le
Minh and M{\'e}tais, Elisabeth},
title = {What You Use, Not What You Do: Automatic
Classification of Recipes},
booktitle = {Natural Language Processing and Information Systems:
22nd International Conference on Applications of
Natural Language to Information Systems, NLDB 2017,
Li{\`e}ge, Belgium, June 21-23, 2017, Proceedings},
year = {2017},
publisher = {Springer International Publishing},
address = {Cham},
pages = {197-209},
isbn = {978-3-319-59569-6},
doi = {10.1007/978-3-319-59569-6_22},
url = {http://dx.doi.org/10.1007/978-3-319-59569-6_22},
pdf = {http://www.romanklinger.de/publications/kicherer2017-nldb.pdf},
internaltype = {conf}
}
@inproceedings{Kim2017,
author = {Evgeny Kim and Sebastian Pad\'o and Roman Klinger},
title = {{Prototypical Emotion Developments in Literary
Genres}},
booktitle = {Digital Humanities 2017: Conference Abstracts},
year = {2017},
optpages = {},
address = {Montr\'eal, Canada},
month = {August},
organization = {McGill University and Universit\'e de Montr\'eal},
url = {http://www.romanklinger.de/publications/kim2017.pdf},
pdf = {https://dh2017.adho.org/abstracts/203/203.pdf},
internaltype = {confabstract}
}
@inproceedings{Aisopos2012,
author = {Aisopos, Fotis and Kardara, Magdalini and Senger,
Philipp and Klinger, Roman and Papaoikonomou,
Athanasios and Tserpes, Konstantinos and Gardner,
Michael and Varvarigou, Theodora A.},
title = {E-Government and Policy Simulation in Intelligent
Virtual Environments.},
booktitle = {WEBIST},
year = {2012},
editor = {Krempels, Karl-Heinz and Cordeiro, José},
pages = {129-135},
publisher = {SciTePress},
pdf = {http://www.romanklinger.de/publications/+Spaces_WEBIST.pdf},
url = {http://dblp.uni-trier.de/db/conf/webist/webist2012.html#AisoposKSKPTGV12},
internaltype = {conf}
}
@inproceedings{Friedrich2009,
author = {Christoph M. Friedrich and Roman Klinger},
title = {{rSMILE, an interface to the Bayesian Network
package GeNIe/SMILE}},
booktitle = {Book of Abstracts of the R User Conference (useR!)},
year = {2009},
pages = {104},
address = {Rennes, France},
pdf = {http://www.romanklinger.de/publications/Klinger_Friedrich2009.pdf},
internaltype = {confabstract}
}
@inproceedings{Gurulingappa2010,
author = {Harsha Gurulingappa and Roman Klinger and Martin
Hofmann-Apitius and Juliane Fluck },
title = {An Empirical Evaluation of Resources for the
Identification of Diseases and Adverse Effects in
Biomedical Literature},
booktitle = {{2nd Workshop on Building and evaluating resources
for biomedical text mining (7th edition of the
Language Resources and Evaluation Conference)}},
year = {2010},
address = {Valetta, Malta},
month = {May},
pdf = {http://www.nactem.ac.uk/biotxtm/papers/Gurulingappa.pdf},
internaltype = {conf}
}
@inproceedings{Gurulingappa2009,
author = {Harsha Gurulingappa and Bernd M\"uller and Roman
Klinger and Heinz-Theo Mevissen and Martin
Hofmann-Apitius and Juliane Fluck and Christoph
M. Friedrich},
title = {Patent Retrieval in Chemistry based on semantically
tagged Named Entities},
booktitle = {The Eighteenth Text RETrieval Conference (TREC 2009)
Proceedings},
year = {2009},
editor = {Ellen M. Voorhees and Lori P. Buckland},
address = {Gaithersburg, Maryland, USA},
month = {November},
pdf = {http://trec.nist.gov/pubs/trec18/papers/scai.CHEM.pdf},
internaltype = {conf}
}
@inproceedings{klinger:2011:RANLP,
author = {Klinger, Roman},
title = {Automatically Selected Skip Edges in Conditional
Random Fields for Named Entity Recognition},
booktitle = {Proceedings of the International Conference Recent
Advances in Natural Language Processing 2011},
year = {2011},
pages = {580-585},
address = {Hissar, Bulgaria},
month = {September},
publisher = {RANLP 2011 Organising Committee},
url = {http://aclanthology.org/R11-1082},
internaltype = {conf}
}
@inproceedings{Klinger2014a,
author = {Roman Klinger and Philipp Cimiano},
title = {The {USAGE} review corpus for fine grained multi lingual opinion
analysis},
booktitle = {Proceedings of the Ninth International Conference on Language Resources
and Evaluation (LREC'14)},
year = {2014},
editor = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Hrafn
Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno
and Jan Odijk and Stelios Piperidis},
pages = {2211-2218},
address = {Reykjavik, Iceland},
month = {May},
publisher = {European Language Resources Association (ELRA)},
note = {ACL Anthology Identifier: L14-1656},
date = {26-31},
isbn = {978-2-9517408-8-4},
language = {english},
pdf = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/85_Paper.pdf},
url = {https://www.aclanthology.org/L14-1656/},
internaltype = {conf}
}
@inproceedings{klinger2015,
author = {Klinger, Roman and Cimiano, Philipp},
title = {Instance Selection Improves Cross-Lingual Model Training for Fine-Grained
Sentiment Analysis},
booktitle = {Proceedings of the Nineteenth Conference on Computational Natural
Language Learning},
year = {2015},
pages = {153-163},
address = {Beijing, China},
month = {July},
publisher = {Association for Computational Linguistics},
url = {http://www.aclanthology.org/K15-1016},
internaltype = {conf}
}
@inproceedings{klinger-cimiano:2013:Short,
author = {Klinger, Roman and Cimiano, Philipp},
title = {Bi-directional Inter-dependencies of Subjective
Expressions and Targets and their Value for a Joint
Model},
booktitle = {Proceedings of the 51st Annual Meeting of the
Association for Computational Linguistics (Volume 2:
Short Papers)},
year = {2013},
pages = {848-854},
address = {Sofia, Bulgaria},
month = {August},
publisher = {Association for Computational Linguistics},
url = {http://www.aclanthology.org/P13-2147},
internaltype = {conf}
}
@inproceedings{Klinger2009,
author = {Roman Klinger and Christoph M. Friedrich},
title = {User's Choice of Precision and Recall in Named
Entity Recognition},
booktitle = {Proceedings of Recent Advances in Natural Language
Processing (RANLP)},
year = {2009},
editor = {Galia Angelova and Kalina Bontcheva and Ruslan
Mitkov and Nicolas Nicolov and Nicolai Nikolov},
pages = {192-196},
address = {Borovets, Bulgaria},
month = {September},
pdf = {https://www.aclanthology.org/R09-1036/},
owner = {rklinger},
timestamp = {2009.06.04},
internaltype = {conf}
}
@inproceedings{Klinger2009a,
author = {Roman Klinger and Christoph M. Friedrich},
title = {Feature Subset Selection in Conditional Random
Fields for Named Entity Recognition},
booktitle = {Proceedings of Recent Advances in Natural Language
Processing (RANLP)},
year = {2009},
editor = {Galia Angelova and Kalina Bontcheva and Ruslan
Mitkov and Nicolas Nicolov and Nicolai Nikolov},
pages = {185-191},
address = {Borovets, Bulgaria},
month = {September},
pdf = {https://www.aclanthology.org/R09-1035/},
internaltype = {conf},
note = {###nombp###}
}
@inproceedings{Klinger2007a,
author = {Roman Klinger and Christoph M. Friedrich and Juliane
Fluck and Martin Hofmann-Apitius},
title = {{Named Entity Recognition with Combinations of
Conditional Random Fields}},
booktitle = {Proceedings of the Second BioCreative Challenge
Evaluation Workshop},
year = {2007},
pages = {89-91},
address = {Madrid, Spain},
month = {April},
pdf = {http://www.romanklinger.de/publications/bc2.pdf},
internaltype = {conf}
}
@inproceedings{Klinger2006a,
author = {Roman Klinger and G\"unter Rudolph},
title = {{Evolutionary Composition of Music with Learned
Melody Evaluation}},
booktitle = {Conference on COMPUTATIONAL INTELLIGENCE,
MAN-MACHINE SYSTEMS and CYBERNETICS (CIMMACS '06)},
year = {2006},
editor = {Nikos Mastorakis and Antonella Cecchi},
pages = {234-239},
address = {Venice, Italy},
month = {November},
internaltype = {conf},
note = {###bsp###}
}
@inproceedings{Klinger2012,
author = {Klinger, Roman and Senger, Philipp and Madan, Sumit
and Jacovi, Michal},
title = {Online Communities Support Policy-Making: The Need
for Data Analysis},
booktitle = {Electronic Participation},
year = {2012},
editor = {Tambouris, Efthimios and Macintosh, Ann and Sæbø,
Øystein},
volume = {7444},
series = {Lecture Notes in Computer Science},
pages = {132-143},
publisher = {Springer Berlin Heidelberg},
doi = {10.1007/978-3-642-33250-0_12},
isbn = {978-3-642-33249-4},
url = {http://dx.doi.org/10.1007/978-3-642-33250-0_12},
internaltype = {conf}
}
@inproceedings{Klinger2016,
author = {Roman Klinger and Surayya Samat Suliya and Nils
Reiter},
title = {{Automatic Emotion Detection for Quantitative
Literary Studies -- A case study based on Franz
Kafka's ``Das Schloss'' and ``Amerika''}},
booktitle = {Digital Humanities 2016: Conference Abstracts},
year = {2016},
pages = {826-828},
address = {Krak\'ow, Poland},
month = {July},
organization = {Jagiellonian University and Pedagogical University},
pdf = {http://www.romanklinger.de/publications/klinger-samat-reiter2016.pdf},
opteditor = {Maciej Eder and Jan Rybicki},
url = {http://dh2016.adho.org/abstracts/318},
internaltype = {confabstract}
}
@inproceedings{Ling2016,
author = {Ling, Jennifer and Klinger, Roman},
editor = {Sack, Harald and Rizzo, Giuseppe and Steinmetz,
Nadine and Mladeni{\'{c}}, Dunja and Auer, S{\"o}ren
and Lange, Christoph},
title = {An Empirical, Quantitative Analysis of the
Differences Between Sarcasm and Irony},
booktitle = {The Semantic Web: ESWC 2016 Satellite Events,
Heraklion, Crete, Greece, May 29 -- June 2, 2016,
Revised Selected Papers},
year = {2016},
publisher = {Springer International Publishing},
pages = {203-216},
isbn = {978-3-319-47602-5},
doi = {10.1007/978-3-319-47602-5_39},
url = {http://dx.doi.org/10.1007/978-3-319-47602-5_39},
pdf = {http://www.romanklinger.de/publications/ling2016.pdf},
internaltype = {conf},
note = { ###bp###}
}
@inproceedings{Mueller2010,
author = {Bernd M\"uller and Roman Klinger and Harsha
Gurulingappa and Heinz-Theodor Mevissen and Martin
Hofmann-Apitius and Juliane Fluck and Christoph
M. Friedrich},
title = {Abstracts versus Full Texts and Patents: A
Quantitative Analysis of Biomedical Entities},
booktitle = {Proceedings of the 1st IRF Conference},
year = {2010},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
url = {http://link.springer.com/chapter/10.1007/978-3-642-13084-7_12},
internaltype = {conf}
}
@inproceedings{mccrae-cimiano-klinger:2013:EMNLP,
author = {McCrae, John Philip and Cimiano, Philipp and
Klinger, Roman},
title = {Orthonormal Explicit Topic Analysis for
Cross-Lingual Document Matching},
booktitle = {Proceedings of the 2013 Conference on Empirical
Methods in Natural Language Processing},
year = {2013},
pages = {1732-1740},
address = {Seattle, Washington, USA},
month = {October},
publisher = {Association for Computational Linguistics},
url = {http://www.aclanthology.org/D13-1179},
internaltype = {conf}
}
@inproceedings{Risselada2009,
author = {Roelof Risselada and Christoph M. Friedrich and Christian Ebeling
and Roman Klinger and Anne Bauer-Mehren and Manuel Pastor and Maria
Cruz Villa and Jose M. Pozo and Alejandro F. Frangi and Martin Hofmann-Apitius},
title = {Workflows for Data Mining in Integrated multi-modal Data of Intracranial
Aneurysms using KNIME},
booktitle = {Book of Abstracts of the R User Conference (useR!)},
year = {2009},
pages = {165},
address = {Rennes, France},
pdf = {http://www.romanklinger.de/publications/Risselada_Friedrich_Ebeling_Klinger2009.pdf},
internaltype = {confabstract}
}
@inproceedings{Saenger2016,
author = {Mario Sänger and Ulf Leser and Steffen Kemmerer and
Peter Adolphs and Roman Klinger},
title = {{SCARE ― The Sentiment Corpus of App Reviews with
Fine-grained Annotations in German}},
booktitle = {Proceedings of the Tenth International Conference on
Language Resources and Evaluation (LREC 2016)},
year = {2016},
editor = {Nicoletta Calzolari (Conference Chair) and Khalid
Choukri and Thierry Declerck and Marko Grobelnik and
Bente Maegaard and Joseph Mariani and Asuncion
Moreno and Jan Odijk and Stelios Piperidis},
address = {Paris, France},
month = {may},
publisher = {European Language Resources Association (ELRA)},
date = {23-28},
pdf = {http://www.lrec-conf.org/proceedings/lrec2016/pdf/59_Paper.pdf},
isbn = {978-2-9517408-9-1},
language = {english},
location = {Portorož, Slovenia},
url = {http://www.lrec-conf.org/proceedings/lrec2016/summaries/59.html},
url = {https://www.aclanthology.org/L16-1178/},
internaltype = {conf}
}
@inproceedings{Scheible2016,
author = {Scheible, Christian and Klinger, Roman and Pad\'{o},
Sebastian},
title = {Model Architectures for Quotation Detection},
booktitle = {Proceedings of the 54th Annual Meeting of the
Association for Computational Linguistics (Volume 1:
Long Papers)},
month = {August},
year = {2016},
address = {Berlin, Germany},
publisher = {Association for Computational Linguistics},
pages = {1736-1745},
url = {https://www.aclanthology.org/P16-1164/},
internaltype = {conf}
}