klinger.bib
@inproceedings{Barreiss2024,
author = {Patrick Barreiß and Roman Klinger and Jeremy Barnes},
title = {English Prompts are Better for {NLI}-based Zero-Shot
Emotion Classification than Target-Language Prompts},
year = {2024},
publisher = {Association for Computing Machinery},
location = {Singapore},
booktitle = {Companion Proceedings of the ACM Web Conference
2024},
series = {WWW '24 Companion},
url = {https://arxiv.org/abs/2402.03223},
internaltype = {workshop}
}
@inproceedings{wegge-klinger-2024-topic,
title = {Topic Bias in Emotion Classification},
author = {Wegge, Maximilian and Klinger, Roman},
editor = {van der Goot, Rob and Bak, JinYeong and
M{\"u}ller-Eberstein, Max and Xu, Wei and Ritter,
Alan and Baldwin, Tim},
booktitle = {Proceedings of the Ninth Workshop on Noisy and
User-generated Text (W-NUT 2024)},
month = mar,
year = {2024},
address = {San {\.G}iljan, Malta},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2024.wnut-1.9},
pages = {89--103},
abstract = {Emotion corpora are typically sampled based on
keyword/hashtag search or by asking study
participants to generate textual instances. In any
case, these corpora are not uniform samples
representing the entirety of a domain. We
hypothesize that this practice of data acquision
leads to unrealistic correlations between
overrepresented topics in these corpora that harm
the generalizability of models. Such topic bias
could lead to wrong predictions for instances like
{``}I organized the service for my aunt{'}s
funeral.{''} when funeral events are overpresented
for instances labeled with sadness, despite the
emotion of pride being more appropriate here. In
this paper, we study this topic bias both from the
data and the modeling perspective. We first label a
set of emotion corpora automatically via topic
modeling and show that emotions in fact correlate
with specific topics. Further, we see that emotion
classifiers are confounded by such topics. Finally,
we show that the established debiasing method of
adversarial correction via gradient reversal
mitigates the issue. Our work points out issues with
existing emotion corpora and that more
representative resources are required for fair
evaluation of models predicting affective concepts
from text.},
internaltype = {workshop},
pdf = {https://www.romanklinger.de/publications/WeggeKlinger2024.pdf},
eprint = {2312.09043},
archiveprefix = {arXiv},
primaryclass = {cs.CL}
}
@inproceedings{Klinger2023a,
author = {Roman Klinger},
title = {Where are We in Event-centric Emotion Analysis?
Bridging Emotion Role Labeling and Appraisal-based
Approaches},
booktitle = {Proceedings of the Big Picture Workshop: Crafting a
Research Narrative},
year = {2023},
month = {December},
address = {Singapore},
organization = {EMNLP},
publisher = {Association for Computational Linguistics},
url = {https://www.romanklinger.de/publications/klinger2023.pdf},
archiveprefix = {arXiv},
eprint = {2309.02092},
primaryclass = {cs.CL},
internaltype = {workshop}
}
@inproceedings{MenchacaResendiz2023b,
title = {Emotion-Conditioned Text Generation through
Automatic Prompt Optimization},
author = {Menchaca Resendiz, Yarik and Klinger, Roman},
booktitle = {Proceedings of the 1st Workshop on Taming Large
Language Models: Controllability in the era of
Interactive Assistants!},
month = sep,
year = 2023,
address = {Prague, Czech Republic},
publisher = {Association for Computational Linguistics},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2308.04857},
pdf = {https://www.romanklinger.de/publications/MenchacaResendiz_Klinger_TLLM2023.pdf}
}
@inproceedings{Wegge2023,
author = {Maximilian Wegge and Roman Klinger},
title = {Automatic Emotion Experiencer Recognition},
booktitle = {3rd Workshop on Computational Linguistics for the
Political and Social Sciences (CPSS)},
year = 2023,
month = may,
pdf = {https://www.romanklinger.de/publications/WeggeKlinger2023.pdf},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2305.16731}
}
@inproceedings{Velutharambath2023,
title = {{UNIDECOR}: A Unified Deception Corpus for
Cross-Corpus Deception Detection},
author = {Velutharambath, Aswathy and Klinger, Roman},
booktitle = {Proceedings of the 13th Workshop on Computational
Approaches to Subjectivity, Sentiment, {\&} Social
Media Analysis},
month = jul,
year = {2023},
address = {Toronto, Canada},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2023.wassa-1.5},
pages = {39--51},
abstract = {Verbal deception has been studied in psychology,
forensics, and computational linguistics for a
variety of reasons, like understanding behaviour
patterns, identifying false testimonies, and
detecting deception in online communication. Varying
motivations across research fields lead to
differences in the domain choices to study and in
the conceptualization of deception, making it hard
to compare models and build robust deception
detection systems for a given language. With this
paper, we improve this situation by surveying
available English deception datasets which include
domains like social media reviews, court
testimonials, opinion statements on specific topics,
and deceptive dialogues from online strategy
games. We consolidate these datasets into a single
unified corpus. Based on this resource, we conduct a
correlation analysis of linguistic cues of deception
across datasets to understand the differences and
perform cross-corpus modeling experiments which show
that a cross-domain generalization is challenging to
achieve. The unified deception corpus (UNIDECOR) can
be obtained from
https://www.ims.uni-stuttgart.de/data/unidecor.},
internaltype = {workshop},
pdf = {https://www.romanklinger.de/publications/VelutharambathKlinger_UNIDECOR_WASSA2023.pdf},
archiveprefix = {arXiv},
eprint = {2306.02827}
}
@inproceedings{Wuehrl2023,
author = {Amelie W\"uhrl and Lara Grimminger and Roman
Klinger},
title = {An Entity-based Claim Extraction Pipeline for
Real-world Fact-checking},
month = {May},
year = {2023},
booktitle = {Proceedings of the Sixth Fact Extraction and
VERification Workshop (FEVER)},
address = {Dubrovnik, Croatia},
organization = {Association for Computational Linguistics},
pdf = {https://www.romanklinger.de/publications/WuehrlKlingerFEVER2023.pdf},
url = {https://aclanthology.org/2023.fever-1.3},
pages = {29–37},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2304.05268}
}
@inproceedings{Wegge2022,
title = {Experiencer-Specific Emotion and Appraisal
Prediction},
author = {Wegge, Maximilian and Troiano, Enrica and
Oberlaender, Laura Ana Maria and Klinger, Roman},
booktitle = {Proceedings of the Fifth Workshop on Natural
Language Processing and Computational Social Science
(NLP+CSS)},
month = nov,
year = {2022},
address = {Abu Dhabi, UAE},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2022.nlpcss-1.3},
pages = {25--32},
abstract = {Emotion classification in NLP assigns emotions to
texts, such as sentences or paragraphs. With texts
like {``}I felt guilty when he cried{''}, focusing
on the sentence level disregards the standpoint of
each participant in the situation: the writer
({``}I{''}) and the other entity ({``}he{''}) could
in fact have different affective states. The
emotions of different entities have been considered
only partially in emotion semantic role labeling, a
task that relates semantic roles to emotion cue
words. Proposing a related task, we narrow the focus
on the experiencers of events, and assign an emotion
(if any holds) to each of them. To this end, we
represent each emotion both categorically and with
appraisal variables, as a psychological access to
explaining why a person develops a particular
emotion. On an event description corpus, our
experiencer-aware models of emotions and appraisals
outperform the experiencer-agnostic baselines,
showing that disregarding event participants is an
oversimplification for the emotion detection task.},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2210.12078}
}
@inproceedings{Wuehrl2022,
title = {Entity-based Claim Representation Improves
Fact-Checking of Medical Content in Tweets},
author = {W{\"u}hrl, Amelie and Klinger, Roman},
booktitle = {Proceedings of the 9th Workshop on Argument Mining},
month = oct,
year = {2022},
address = {Online and in Gyeongju, Republic of Korea},
publisher = {International Conference on Computational
Linguistics},
url = {https://aclanthology.org/2022.argmining-1.18},
pdf = {https://www.romanklinger.de/publications/WuehrlKlinger_Argmining2022.pdf},
archiveprefix = {arXiv},
eprint = {2209.07834},
pages = {187--198},
abstract = {False medical information on social media poses harm
to people{'}s health. While the need for biomedical
fact-checking has been recognized in recent years,
user-generated medical content has received
comparably little attention. At the same time,
models for other text genres might not be reusable,
because the claims they have been trained with are
substantially different. For instance, claims in the
SciFact dataset are short and focused: {``}Side
effects associated with antidepressants increases
risk of stroke{''}. In contrast, social media holds
naturally-occurring claims, often embedded in
additional context: ''{`}If you take antidepressants
like SSRIs, you could be at risk of a condition
called serotonin syndrome{'} Serotonin syndrome
nearly killed me in 2010. Had symptoms of stroke and
seizure.{''} This showcases the mismatch between
real-world medical claims and the input that
existing fact-checking systems expect. To make
user-generated content checkable by existing models,
we propose to reformulate the social-media input in
such a way that the resulting claim mimics the claim
characteristics in established datasets. To
accomplish this, our method condenses the claim with
the help of relational entity information and either
compiles the claim out of an entity-relation-entity
triple or extracts the shortest phrase that contains
these elements. We show that the reformulated input
improves the performance of various fact-checking
models as opposed to checking the tweet text in its
entirety.},
internaltype = {workshop},
note = {###run###}
}
@inproceedings{Sabbatino2022,
title = {{``}splink{''} is happy and {``}phrouth{''} is
scary: Emotion Intensity Analysis for Nonsense
Words},
author = {Sabbatino, Valentino and Troiano, Enrica and
Schweitzer, Antje and Klinger, Roman},
booktitle = {Proceedings of the 12th Workshop on Computational
Approaches to Subjectivity, Sentiment {\&} Social
Media Analysis},
month = may,
year = {2022},
address = {Dublin, Ireland},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2022.wassa-1.4},
pages = {37--50},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2202.12132}
}
@inproceedings{Kreuter2022,
title = {Items from Psychometric Tests as Training Data for
Personality Profiling Models of {T}witter Users},
author = {Kreuter, Anne and Sassenberg, Kai and Klinger,
Roman},
booktitle = {Proceedings of the 12th Workshop on Computational
Approaches to Subjectivity, Sentiment {\&} Social
Media Analysis},
month = may,
year = {2022},
address = {Dublin, Ireland},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2022.wassa-1.35},
pages = {315--323},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2202.10415}
}
@inproceedings{Khlyzova2022,
title = {On the Complementarity of Images and Text for the
Expression of Emotions in Social Media},
author = {Khlyzova, Anna and Silberer, Carina and Klinger,
Roman},
booktitle = {Proceedings of the 12th Workshop on Computational
Approaches to Subjectivity, Sentiment {\&} Social
Media Analysis},
month = may,
year = {2022},
address = {Dublin, Ireland},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2022.wassa-1.1},
pages = {1--15},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2202.07427}
}
@inproceedings{Plazadelarco2021,
author = {Flor M. {Plaza-del-Arco} and Sercan Halat and
Sebastian Padó and Roman Klinger},
title = {Multi-Task Learning with Sentiment, Emotion, and
Target Detection to Recognize Hate Speech and
Offensive Language},
url = {http://ceur-ws.org/Vol-3159/T1-30.pdf},
year = 2021,
pages = {297--318},
booktitle = {FIRE 2021 Working Notes},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2109.10255}
}
@inproceedings{Wuehrl2021,
title = {Claim Detection in Biomedical {T}witter Posts},
author = {W{\"u}hrl, Amelie and Klinger, Roman},
booktitle = {Proceedings of the 20th Workshop on Biomedical
Language Processing},
month = jun,
year = {2021},
address = {Online},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.info/2021.bionlp-1.15},
pages = {131--142},
pdf = {https://www.romanklinger.de/publications/WuehrlKlinger_BioNLP2021.pdf},
internaltype = {workshop}
}
@inproceedings{Oberlaender2020b,
title = {Experiencers, Stimuli, or Targets: Which Semantic
Roles Enable Machine Learning to Infer the
Emotions?},
author = {Laura Oberl\"ander and Kevin Reich and Roman
Klinger},
booktitle = {Proceedings of the Third Workshop on Computational
Modeling of People{'}s Opinions, Personality, and
Emotions in Social Media},
month = dec,
year = {2020},
address = {Barcelona, Spain},
publisher = {Association for Computational Linguistics},
pdf = {http://www.romanklinger.de/publications/OberlaenderReichKlinger2020peoples.pdf},
url = {https://www.aclanthology.org/2020.peoples-1.12/},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2011.01599}
}
@inproceedings{Armbrust2020,
title = {A Computational Analysis of Financial and
Environmental Narratives within Financial Reports
and its Value for Investors},
author = {Armbrust, Felix and Sch{\"a}fer, Henry and Klinger,
Roman},
booktitle = {Proceedings of the 1st Joint Workshop on Financial
Narrative Processing and MultiLing Financial
Summarisation},
month = dec,
year = {2020},
address = {Barcelona, Spain (Online)},
publisher = {COLING},
url = {https://www.aclanthology.org/2020.fnp-1.31},
pages = {181--194},
pdf = {http://www.romanklinger.de/publications/ArmbrustSchaeferKlinger2020.pdf},
internaltype = {workshop}
}
@inproceedings{Troiano2021,
title = {Emotion Ratings: How Intensity, Annotation
Confidence and Agreements are Entangled},
author = {Troiano, Enrica and Pad{\'o}, Sebastian and Klinger,
Roman},
booktitle = {Proceedings of the Eleventh Workshop on
Computational Approaches to Subjectivity, Sentiment
and Social Media Analysis},
month = apr,
year = {2021},
address = {Online},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/2021.wassa-1.5},
pages = {40--49},
pdf = {http://www.romanklinger.de/publications/TroianoPadoKlingerWASSA2021.pdf},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2103.01667}
}
@inproceedings{Grimminger2021,
title = {Hate Towards the Political Opponent: A {T}witter
Corpus Study of the 2020 {US} Elections on the Basis
of Offensive Speech and Stance Detection},
author = {Grimminger, Lara and Klinger, Roman},
booktitle = {Proceedings of the Eleventh Workshop on
Computational Approaches to Subjectivity, Sentiment
and Social Media Analysis},
month = apr,
year = {2021},
address = {Online},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/2021.wassa-1.18},
pages = {171--180},
pdf = {http://www.romanklinger.de/publications/GrimmingerKlingerWASSA2021.pdf},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2103.01664}
}
@inproceedings{Hofmann2021,
title = {Emotion-Aware, Emotion-Agnostic, or Automatic:
Corpus Creation Strategies to Obtain Cognitive Event
Appraisal Annotations},
author = {Hofmann, Jan and Troiano, Enrica and Klinger, Roman},
booktitle = {Proceedings of the Eleventh Workshop on
Computational Approaches to Subjectivity, Sentiment
and Social Media Analysis},
month = apr,
year = {2021},
address = {Online},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/2021.wassa-1.17},
pages = {160--170},
pdf = {http://www.romanklinger.de/publications/HofmannTroianoKlingerWASSA2021.pdf},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2102.12858}
}
@inproceedings{Helbig2020,
title = {Challenges in Emotion Style Transfer: An Exploration
with a Lexical Substitution Pipeline},
author = {Helbig, David and Troiano, Enrica and Klinger,
Roman},
booktitle = {Proceedings of the Eighth International Workshop on
Natural Language Processing for Social Media},
month = jul,
year = {2020},
address = {Online},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/2020.socialnlp-1.6},
pdf = {http://www.romanklinger.de/publications/HelbigTroianoKlingerSocialNLP2020.pdf},
pages = {41--50},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {2005.07617}
}
@inproceedings{Kim2019a,
title = {An Analysis of Emotion Communication Channels in
Fan-Fiction: Towards Emotional Storytelling},
author = {Kim, Evgeny and Klinger, Roman},
booktitle = {Proceedings of the Second Workshop on Storytelling},
year = {2019},
address = {Florence, Italy},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/W19-3406},
pdf = {http://www.romanklinger.de/publications/KimKlingerStoryNLP2019ACL.pdf},
pages = {56-64},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {1906.02402}
}
@inproceedings{Bostan2019,
author = {Bostan, Laura Ana Maria and Klinger, Roman},
title = {Exploring fine-tuned embeddings that model
intensifiers for emotion analysis},
booktitle = {Proceedings of the Tenth Workshop on Computational
Approaches to Subjectivity, Sentiment and Social
Media Analysis},
month = jun,
year = {2019},
address = {Minneapolis, USA},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/W19-1304},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {1904.03164}
}
@inproceedings{Klinger2018x,
author = {Roman Klinger and Orph\'ee de Clercq and Saif
M. Mohammad and Alexandra Balahur},
title = {{IEST}: {WASSA}-2018 Implicit Emotions Shared Task},
booktitle = {Proceedings of the 9th Workshop on Computational
Approaches to Subjectivity, Sentiment and Social
Media Analysis},
year = {2018},
address = {Brussels, Belgium},
month = {November},
organization = {Association for Computational Linguistics},
pdf = {http://implicitemotions.wassa2018.com/paper/iest-description-2018.pdf},
url = {https://www.aclanthology.org/W18-6206},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {1809.01083}
}
@inproceedings{Brazda2017,
author = {Nicole Brazda and Hendrik ter Horst and Matthias
Hartung and Cord Wiljes and Veronica Estrada and
Roman Klinger and Wolfgang Kuchinke and Hans Werner
M\"uller and Philipp Cimiano},
title = {{SCIO}: An Ontology to Support the Formalization of
Pre-Clinical Spinal Cord Injury Experiments},
booktitle = {Workshop on Ontologies and Data in Life Sciences
(ODLS 2017), Joint Workshops on Ontologies (JOWO)},
year = {2017},
address = {Bolzano, Italy},
month = {September},
pdf = {http://ceur-ws.org/Vol-2050/ODLS_paper_11.pdf},
url = {https://pub.uni-bielefeld.de/download/2913603/2913881},
internaltype = {workshop}
}
@inproceedings{Reiter2017,
author = {Nils Reiter and Sarah Schulz and Gerhard Kremer and
Roman Klinger and Gabriel Viehhauser and Jonas Kuhn},
title = {Teaching Computational Aspects in the Digital
Humanities Program at University of Stuttgart --
Intentions and Experiences},
booktitle = {Proceedings of the Workshop on Teaching NLP for
Digital Humanities (Teach4DH 2017) co-located with
GSCL 2017},
year = {2017},
pages = {43-48},
url = {http://ceur-ws.org/Vol-1918/reiter.pdf},
internaltype = {workshop}
}
@inproceedings{Thorne2017,
author = {Camilo Thorne and Roman Klinger},
title = {Towards Confidence Estimation for typed
Protein-Protein Relation Extraction},
booktitle = {Proceedings of the Biomedical NLP Workshop
associated with RANLP},
year = {2017},
address = {Varna, Bulgaria},
month = {September},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/W17-8008},
internaltype = {workshop}
}
@inproceedings{Hartung2017a,
author = {Matthias Hartung and Roman Klinger and Lars Vogel
and Franziska Schmidtke},
title = {Ranking Right-Wing Extremist Social Media Profiles
by Similarity to Democratic and Extremist Groups},
booktitle = {Proceedings of the 8th Workshop on Computational
Approaches to Subjectivity, Sentiment and Social
Media Analysis},
year = 2017,
address = {Copenhagen, Denmark},
organization = {Workshop at Conference on Empirical Methods in
Natural Language Processing},
publisher = {Association for Computational Linguistics},
url = {https://www.aclanthology.org/W17-5204},
internaltype = {workshop}
}
@inproceedings{Schuff2017,
author = {Hendrik Schuff and Jeremy Barnes and Julian Mohme
and Sebastian Pad\'o and Roman Klinger},
title = {Annotation, Modelling and Analysis of Fine-Grained
Emotions on a Stance and Sentiment Detection Corpus},
booktitle = {Proceedings of the 8th Workshop on Computational
Approaches to Subjectivity, Sentiment and Social
Media Analysis},
year = {2017},
address = {Copenhagen, Denmark},
organization = {Workshop at Conference on Empirical Methods in
Natural Language Processing},
publisher = {Association for Computational Linguistics},
pdf = {https://www.aclanthology.org/W17-5203/},
url = {http://www.ims.uni-stuttgart.de/data/ssec},
internaltype = {workshop}
}
@inproceedings{Barnes2017,
author = {Jeremy Barnes and Roman Klinger and Schulte im
Walde, Sabine},
title = {Assessing State-of-the-Art Sentiment Models on
State-of-the-Art Sentiment Datasets},
booktitle = {Proceedings of the 8th Workshop on Computational
Approaches to Subjectivity, Sentiment and Social
Media Analysis},
year = {2017},
address = {Copenhagen, Denmark},
organization = {Workshop at Conference on Empirical Methods in
Natural Language Processing},
publisher = {Association for Computational Linguistics},
pdf = {https://www.aclanthology.org/W17-5202/},
url = {http://www.ims.uni-stuttgart.de/data/sota_sentiment},
internaltype = {workshop},
archiveprefix = {arXiv},
eprint = {1709.04219}
}
@inproceedings{Koeper2017,
author = {Maximilian K\"oper and Evgeny Kim and Roman Klinger},
title = {{IMS} at {EmoInt-2017}: Emotion Intensity Prediction
with Affective Norms, Automatically Extended
Resources and Deep Learning},
booktitle = {Proceedings of the 8th Workshop on Computational
Approaches to Subjectivity, Sentiment and Social
Media Analysis},
year = {2017},
address = {Copenhagen, Denmark},
organization = {Workshop at Conference on Empirical Methods in
Natural Language Processing},
publisher = {Association for Computational Linguistics},
pdf = {https://www.aclanthology.org/W17-5206/},
url = {http://www.ims.uni-stuttgart.de/data/ims_emoint},
internaltype = {workshop}
}
@inproceedings{Kim2017a,
author = {Kim, Evgeny and Pad\'{o}, Sebastian and Klinger,
Roman},
title = {Investigating the Relationship between Literary
Genres and Emotional Plot Development},
booktitle = {Proceedings of the Joint SIGHUM Workshop on
Computational Linguistics for Cultural Heritage,
Social Sciences, Humanities and Literature},
month = {August},
year = {2017},
address = {Vancouver, Canada},
publisher = {Association for Computational Linguistics},
pages = {17-26},
url = {http://www.aclanthology.org/W17-2203},
internaltype = {workshop}
}
@inproceedings{Butzken2005,
author = {Miriam B\"utzken and Stefan Edelkamp and Abdelaziz
Elalaoui and Kenneth Kahl and Rachid Karmouni and
Roman Klinger and Khalid Lahiane and Andrea
Matuszewski and Tilman Mehler and Mohammed Nazih and
Michael Nelskamp and Arne Wiggers},
title = {{An Integrated Toolkit for Modern Action Planning}},
booktitle = {19th Workshop on New Results in Planning, Scheduling
and Design (PUK)},
year = {2005},
pages = {1-11},
url = {http://www.puk-workshop.de/puk2005/paper/1_puk1.pdf},
owner = {rklinger},
timestamp = {2006.12.13},
internaltype = {workshop}
}
@inproceedings{Bobic2012,
author = {Bobic, Tamara and Klinger, Roman and Thomas,
Philippe and Hofmann-Apitius, Martin},
title = {Improving Distantly Supervised Extraction of
Drug-Drug and Protein-Protein Interactions},
booktitle = {Proceedings of the Joint Workshop on Unsupervised
and Semi-Supervised Learning in NLP},
year = {2012},
pages = {35-43},
address = {Avignon, France},
month = {April},
publisher = {Association for Computational Linguistics},
url = {http://www.aclanthology.org/W12-0705},
internaltype = {workshop}
}
@inproceedings{Buschmeier2014,
author = {Buschmeier, Konstantin and Cimiano, Philipp and Klinger, Roman},
title = {An Impact Analysis of Features in a Classification Approach to Irony
Detection in Product Reviews},
booktitle = {Proceedings of the 5th Workshop on Computational Approaches to Subjectivity,
Sentiment and Social Media Analysis},
year = {2014},
pages = {42-49},
address = {Baltimore, Maryland},
month = {June},
publisher = {Association for Computational Linguistics},
url = {http://www.aclanthology.org/W14-2608},
internaltype = {workshop}
}
@inproceedings{Hartung2014,
author = {Hartung, Matthias and Klinger, Roman and Zwick,
Matthias and Cimiano, Philipp},
title = {Towards Gene Recognition from Rare and Ambiguous
Abbreviations using a Filtering Approach},
booktitle = {Proceedings of BioNLP 2014},
year = {2014},
pages = {118-127},
address = {Baltimore, Maryland},
month = {June},
publisher = {Association for Computational Linguistics},
url = {http://www.aclanthology.org/W14-3418},
internaltype = {workshop}
}
@inproceedings{kessler2015,
author = {Kessler, Wiltrud and Klinger, Roman and Kuhn, Jonas},
title = {Towards Opinion Mining from Reviews for the
Prediction of Product Rankings},
booktitle = {Proceedings of the 6th Workshop on Computational
Approaches to Subjectivity, Sentiment and Social
Media Analysis},
year = {2015},
pages = {51-57},
address = {Lisboa, Portugal},
month = {September},
publisher = {Association for Computational Linguistics},
url = {http://aclanthology.org/W15-2908},
internaltype = {workshop}
}
@inproceedings{Klinger2013,
author = {Klinger, Roman and Cimiano, Philipp},
title = {Joint and Pipeline Probabilistic Models for
Fine-Grained Sentiment Analysis: Extracting Aspects,
Subjective Phrases and their Relations},
booktitle = {2013 IEEE 13th International Conference on Data
Mining Workshops (ICDMW)},
year = {2013},
pages = {937-944},
month = {Dec},
doi = {10.1109/ICDMW.2013.13},
pdf = {http://www.romanklinger.de/publications/joint-aspect-subjectivity-with-reference.pdf},
internaltype = {workshop}
}
@inproceedings{Klinger2011,
author = {Roman Klinger and Sebastian Riedel and Andrew
McCallum},
title = {Inter-Event Dependencies support Event Extraction
from Biomedical Literature},
booktitle = {Mining Complex Entities from Network and Biomedical
Data (MIND), European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery
in Databases (ECML PKDD)},
year = {2011},
url = {http://www.romanklinger.de/publications/klinger11interevent.pdf},
internaltype = {workshop}
}
@inproceedings{Kolarik2008,
author = {Corinna Kolarik and Roman Klinger and Christoph
M. Friedrich and Martin Hofmann-Apitius and Juliane
Fluck},
title = {{Chemical Names: Terminological Resources and
Corpora Annotation}},
booktitle = {{Workshop on Building and evaluating resources for
biomedical text mining (6th edition of the Language
Resources and Evaluation Conference)}},
year = {2008},
pages = {51-58},
address = {Marrakech, Morocco},
month = {May},
url = {http://www.romanklinger.de/publications/kolarik2008.pdf},
internaltype = {workshop}
}
@inproceedings{Paassen2014,
author = {Paassen, Benjamin and St\"{o}ckel, Andreas and
Dickfelder, Raphael and G\"{o}pfert, Jan Philip and
Brazda, Nicole and Kirchhoffer, Tarek and
M\"{u}ller, Hans Werner and Klinger, Roman and
Hartung, Matthias and Cimiano, Philipp},
title = {Ontology-based Extraction of Structured Information
from Publications on Preclinical Experiments for
Spinal Cord Injury Treatments},
booktitle = {Proceedings of the Third Workshop on Semantic Web
and Information Extraction},
year = {2014},
pages = {25-32},
address = {Dublin, Ireland},
month = {August},
publisher = {Association for Computational Linguistics and Dublin
City University},
url = {http://www.aclanthology.org/W14-6204},
internaltype = {workshop}
}
@inproceedings{Ruppenhofer2014,
author = {Josef Ruppenhofer and Roman Klinger and Julia Maria
Struß and Jonathan Sonntag and Michael Wiegand},
title = {{IGGSA Shared Tasks on German Sentiment Analysis}},
booktitle = {Workshop Proceedings of the 12th Edition of the
KONVENS Conference},
year = {2014},
editor = {Gertrud Faaß and Josef Ruppenhofer},
address = {Hildesheim, Germany},
month = {October},
publisher = {University of Hildesheim},
url = {http://opus.bsz-bw.de/ubhi/volltexte/2014/319/pdf/04_01.pdf},
internaltype = {workshop}
}
@inproceedings{Thomas2012,
author = {Philippe Thomas and Tamara Bobić and Ulf Leser and
Martin Hofmann-Apitius and Roman Klinger},
title = {Weakly Labeled Corpora as Silver Standard for
Drug-Drug and Protein-Protein Interaction},
booktitle = {Proceedings of the Workshop on Building and
Evaluating Resources for Biomedical Text Mining
(BioTxtM) on Language Resources and Evaluation
Conference (LREC)},
year = {2012},
address = {Istanbul, Turkey},
url = {http://www.romanklinger.de/publications/ppi-ddi.pdf},
internaltype = {workshop}
}
@inproceedings{Thomas2011a,
author = {Thomas, Philippe and Solt, Ill\'{e}s and Klinger,
Roman and Leser, Ulf},
title = {Learning Protein Protein Interaction Extraction
using Distant Supervision},
booktitle = {Proceedings of Workshop on Robust Unsupervised and
Semisupervised Methods in Natural Language
Processing},
year = {2011},
pages = {25-32},
address = {Hissar, Bulgaria},
month = {September},
url = {http://www.aclanthology.org/W11-3904},
internaltype = {workshop}
}