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ORCIDIryna Gurevych
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- affiliation: Darmstadt University of Technology, Ubiquitous Knowledge Processing Lab, Germany
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2020 – today
- 2020
[j28]Gözde Gül Sahin
, Clara Vania, Ilia Kuznetsov, Iryna Gurevych:
LINSPECTOR: Multilingual Probing Tasks for Word Representations. Comput. Linguistics 46(2): 335-385 (2020)- [j27]Johannes Daxenberger, Benjamin Schiller, Chris Stahlhut, Erik Kaiser, Iryna Gurevych:
ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario. Datenbank-Spektrum 20(2): 115-121 (2020) - [j26]Edwin Simpson, Iryna Gurevych:
Scalable Bayesian preference learning for crowds. Mach. Learn. 109(4): 689-718 (2020) - [j25]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
Predicting the humorousness of tweets using gaussian process preference learning. Proces. del Leng. Natural 64: 37-44 (2020) - [j24]Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych:
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. Trans. Assoc. Comput. Linguistics 8: 589-604 (2020) - [c256]Gözde Gül Sahin, Iryna Gurevych:
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology. AAAI 2020: 7814-7821 - [c255]Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych:
Low Resource Sequence Tagging with Weak Labels. AAAI 2020: 8862-8869 - [c254]Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Fine-Grained Argument Unit Recognition and Classification. AAAI 2020: 9048-9056 - [c253]Gözde Gül Sahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych:
PuzzLing Machines: A Challenge on Learning From Small Data. ACL 2020: 1241-1254 - [c252]Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych:
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels. ACL 2020: 1439-1450 - [c251]Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych:
Empowering Active Learning to Jointly Optimize System and User Demands. ACL 2020: 4233-4247 - [c250]Jan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych:
From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains. ACL 2020: 6982-6993 - [c249]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. ACL 2020: 8717-8729 - [c248]Michael Bugert, Nils Reimers, Shany Barhom, Ido Dagan, Iryna Gurevych:
Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution. Text2Story@ECIR 2020: 23-29 - [c247]Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. ICLR 2020 - [c246]Pedro Bispo Santos, Caroline Verena Bhowmik, Iryna Gurevych:
Avoiding Bias in Students' Intrinsic Motivation Detection. ITS 2020: 89-94 - [i88]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Stance Detection Benchmark: How Robust Is Your Stance Detection? CoRR abs/2001.01565 (2020) - [i87]Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych:
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. CoRR abs/2001.11003 (2020) - [i86]Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. CoRR abs/2002.06661 (2020) - [i85]Kevin Stowe, Leonardo F. R. Ribeiro, Iryna Gurevych:
Metaphoric Paraphrase Generation. CoRR abs/2002.12854 (2020) - [i84]Bernd Skiera, Lukas Jürgensmeier, Kevin Stowe, Iryna Gurevych:
How to Best Predict the Daily Number of New Infections of Covid-19. CoRR abs/2004.03937 (2020) - [i83]Nils Reimers, Iryna Gurevych:
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation. CoRR abs/2004.09813 (2020) - [i82]Gözde Gül Sahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych:
PuzzLing Machines: A Challenge on Learning From Small Data. CoRR abs/2004.13161 (2020) - [i81]Ilia Kuznetsov, Iryna Gurevych:
A Matter of Framing: The Impact of Linguistic Formalism on Probing Results. CoRR abs/2004.14999 (2020) - [i80]Mohsen Mesgar, Edwin Simpson, Yue Wang, Iryna Gurevych:
Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. CoRR abs/2005.00036 (2020) - [i79]Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer. CoRR abs/2005.00052 (2020) - [i78]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. CoRR abs/2005.00084 (2020) - [i77]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. CoRR abs/2005.00247 (2020) - [i76]Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych:
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields. CoRR abs/2005.00250 (2020) - [i75]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. CoRR abs/2005.00315 (2020) - [i74]Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych:
Empowering Active Learning to Jointly Optimize System and User Demands. CoRR abs/2005.04470 (2020) - [i73]Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov, Goran Glavas:
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. CoRR abs/2005.11787 (2020) - [i72]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. CoRR abs/2006.09109 (2020) - [i71]Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, Hinrich Schütze:
Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs. CoRR abs/2006.09242 (2020) - [i70]Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych:
AdapterHub: A Framework for Adapting Transformers. CoRR abs/2007.07779 (2020) - [i69]Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych:
Investigating Pretrained Language Models for Graph-to-Text Generation. CoRR abs/2007.08426 (2020) - [i68]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. CoRR abs/2008.00853 (2020) - [i67]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Towards Debiasing NLU Models from Unknown Biases. CoRR abs/2009.12303 (2020) - [i66]Andreas Rücklé, Jonas Pfeiffer, Iryna Gurevych:
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale. CoRR abs/2010.00980 (2020) - [i65]Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. CoRR abs/2010.03338 (2020) - [i64]Max Glockner, Ivan Habernal, Iryna Gurevych:
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. CoRR abs/2010.03384 (2020) - [i63]Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych:
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. CoRR abs/2010.08240 (2020) - [i62]Andreas Rücklé, Gregor Geigle, Max Glockner, Tilman Beck, Jonas Pfeiffer, Nils Reimers, Iryna Gurevych:
AdapterDrop: On the Efficiency of Adapters in Transformers. CoRR abs/2010.11918 (2020) - [i61]Nafise Sadat Moosavi, Marcel de Boer, Prasetya Ajie Utama, Iryna Gurevych:
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures. CoRR abs/2010.12510 (2020)
2010 – 2019
- 2019
- [j23]Saeedeh Momtazi, Iryna Gurevych:
Corrigendum to Unsupervised Latent Dirichlet Allocation for supervised question classification. [Information Processing & Management, 54(3), 380-393]. Inf. Process. Manag. 56(3): 1080 (2019) - [c245]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. AAAI 2019: 6932-6939 - [c244]Claudia Schulz, Christian M. Meyer, Iryna Gurevych:
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning. AAAI 2019: 6974-6981 - [c243]Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Classification and Clustering of Arguments with Contextualized Word Embeddings. ACL (1) 2019: 567-578 - [c242]Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych:
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. ACL (1) 2019: 2214-2220 - [c241]Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych:
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains. ACL (1) 2019: 2761-2772 - [c240]Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych:
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning. ACL (1) 2019: 5716-5728 - [c239]Paul Reisert, Gisela Vallejo, Naoya Inoue, Iryna Gurevych, Kentaro Inui:
An Annotation Protocol for Collecting User-Generated Counter-Arguments Using Crowdsourcing. AIED (2) 2019: 232-236 - [c238]Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, Iryna Gurevych:
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. CoNLL 2019: 493-503 - [c237]Iryna Gurevych:
Claim Validation by Humans and Machines: Where We Are and the Road Ahead. Text2Story@ECIR 2019: 1 - [c236]Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan M. Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych:
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning. EMNLP/IJCNLP (3) 2019: 73-78 - [c235]Max Eichler, Gözde Gül Sahin, Iryna Gurevych:
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations. EMNLP/IJCNLP (3) 2019: 127-132 - [c234]Edwin D. Simpson, Iryna Gurevych:
A Bayesian Approach for Sequence Tagging with Crowds. EMNLP/IJCNLP (1) 2019: 1093-1104 - [c233]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. EMNLP/IJCNLP (1) 2019: 1607-1617 - [c232]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. EMNLP/IJCNLP (1) 2019: 3108-3118 - [c231]Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych:
Enhancing AMR-to-Text Generation with Dual Graph Representations. EMNLP/IJCNLP (1) 2019: 3181-3192 - [c230]Nils Reimers, Iryna Gurevych:
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. EMNLP/IJCNLP (1) 2019: 3980-3990 - [c229]Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. ICCV Workshops 2019: 4561-4570 - [c228]Elisabeth Bauer, Michael Sailer, Jan Kiesewetter, Claudia Schulz, Jonas Pfeiffer, Iryna Gurevych, Martin R. Fischer, Frank Fischer:
Using ENA to Analyze Pre-service Teachers' Diagnostic Argumentations: A Conceptual Framework and Initial Applications. ICQE 2019: 14-25 - [c227]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. IJCAI 2019: 2350-2356 - [c226]Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych:
Revisiting the Binary Linearization Technique for Surface Realization. INLG 2019: 268-278 - [c225]Tobias Falke, Iryna Gurevych:
Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization. NAACL-HLT (1) 2019: 695-700 - [c224]Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. NAACL-HLT (1) 2019: 1274-1290 - [c223]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. NAACL-HLT (1) 2019: 1634-1647 - [c222]Tristan Miller, Maria Sukhareva, Iryna Gurevych:
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd. NAACL-HLT (1) 2019: 1790-1796 - [c221]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. RepL4NLP@ACL 2019: 55-60 - [c220]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. IberLEF@SEPLN 2019: 180-190 - [c219]Andreas Rücklé, Krishnkant Swarnkar, Iryna Gurevych:
Improved Cross-Lingual Question Retrieval for Community Question Answering. WWW 2019: 3179-3186 - [i60]Steffen Eger, Paul Youssef, Iryna Gurevych:
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. CoRR abs/1901.02671 (2019) - [i59]Steffen Eger, Chao Li, Florian Netzer, Iryna Gurevych:
Predicting Research Trends From Arxiv. CoRR abs/1903.02831 (2019) - [i58]Gözde Gül Sahin, Clara Vania, Ilia Kuznetsov, Iryna Gurevych:
LINSPECTOR: Multilingual Probing Tasks for Word Representations. CoRR abs/1903.09442 (2019) - [i57]Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. CoRR abs/1903.11367 (2019) - [i56]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. CoRR abs/1903.11508 (2019) - [i55]Nils Reimers, Iryna Gurevych:
Alternative Weighting Schemes for ELMo Embeddings. CoRR abs/1904.02954 (2019) - [i54]Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Robust Argument Unit Recognition and Classification. CoRR abs/1904.09688 (2019) - [i53]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. CoRR abs/1906.01575 (2019) - [i52]Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych:
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains. CoRR abs/1906.02564 (2019) - [i51]Yang Gao, Christian M. Meyer, Iryna Gurevych:
Preference-based Interactive Multi-Document Summarisation. CoRR abs/1906.02923 (2019) - [i50]Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Classification and Clustering of Arguments with Contextualized Word Embeddings. CoRR abs/1906.09821 (2019) - [i49]Max Eichler, Gözde Gül Sahin, Iryna Gurevych:
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations. CoRR abs/1907.11438 (2019) - [i48]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. CoRR abs/1907.12894 (2019) - [i47]Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych:
A Neural Model for Dialogue Coherence Assessment. CoRR abs/1908.08486 (2019) - [i46]Nils Reimers, Iryna Gurevych:
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. CoRR abs/1908.10084 (2019) - [i45]Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan M. Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych:
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning. CoRR abs/1908.11254 (2019) - [i44]Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych:
Enhancing AMR-to-Text Generation with Dual Graph Representations. CoRR abs/1909.00352 (2019) - [i43]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. CoRR abs/1909.01214 (2019) - [i42]Jonas Pfeiffer, Aishwarya Kamath, Iryna Gurevych, Sebastian Ruder:
What do Deep Networks Like to Read? CoRR abs/1909.04547 (2019) - [i41]Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. CoRR abs/1909.06635 (2019) - [i40]Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, Iryna Gurevych:
Improving Generalization by Incorporating Coverage in Natural Language Inference. CoRR abs/1909.08940 (2019) - [i39]Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, Iryna Gurevych:
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. CoRR abs/1911.01214 (2019) - [i38]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. CoRR abs/1911.05594 (2019) - [i37]Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. CoRR abs/1911.10183 (2019) - [i36]Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych:
When is ACL's Deadline? A Scientific Conversational Agent. CoRR abs/1911.10392 (2019) - [i35]Edwin Simpson, Iryna Gurevych:
Scalable Bayesian Preference Learning for Crowds. CoRR abs/1912.01987 (2019) - [i34]Gözde Gül Sahin, Iryna Gurevych:
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology. CoRR abs/1912.05274 (2019) - [i33]Andreas Hanselowski, Iryna Gurevych:
Analyzing Structures in the Semantic Vector Space: A Framework for Decomposing Word Embeddings. CoRR abs/1912.10434 (2019) - [i32]Ido Dagan, Iryna Gurevych, Dan Roth, Amanda Stent:
Multi-Document Information Consolidation (Dagstuhl Seminar 19182). Dagstuhl Reports 9(4): 124-140 (2019) - 2018
- [j22]Nils Reimers, Nazanin Dehghani, Iryna Gurevych:
Event Time Extraction with a Decision Tree of Neural Classifiers. Trans. Assoc. Comput. Linguistics 6: 77-89 (2018) - [j21]Edwin D. Simpson, Iryna Gurevych:
Finding Convincing Arguments Using Scalable Bayesian Preference Learning. Trans. Assoc. Comput. Linguistics 6: 357-371 (2018) - [c218]Teresa Botschen, Daniil Sorokin, Iryna Gurevych:
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning. ArgMining@EMNLP 2018: 90-96 - [c217]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection. ArgMining@EMNLP 2018: 131-143 - [c216]Gil Rocha, Christian Stab, Henrique Lopes Cardoso, Iryna Gurevych:
Cross-Lingual Argumentative Relation Identification: from English to Portuguese. ArgMining@EMNLP 2018: 144-154 - [c215]Jan-Christoph Klie, Michael Bugert, Beto Boullosa, Richard Eckart de Castilho, Iryna Gurevych:
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation. COLING (Demos) 2018: 5-9 - [c214]Ilia Kuznetsov, Iryna Gurevych:
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources. COLING 2018: 233-244 - [c213]Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! COLING 2018: 831-844 - [c212]Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych:
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection. COLING 2018: 1558-1569 - [c211]Andreas Hanselowski, Avinesh P. V. S., Benjamin Schiller, Felix Caspelherr, Debanjan Chaudhuri, Christian M. Meyer, Iryna Gurevych:
A Retrospective Analysis of the Fake News Challenge Stance-Detection Task. COLING 2018: 1859-1874 - [c210]Lisa Beinborn, Teresa Botschen, Iryna Gurevych:
Multimodal Grounding for Language Processing. COLING 2018: 2325-2339 - [c209]Daniil Sorokin, Iryna Gurevych:
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering. COLING 2018: 3306-3317 - [c208]Ilia Kuznetsov, Iryna Gurevych:
Corpus-Driven Thematic Hierarchy Induction. CoNLL 2018: 54-64 - [c207]Chris Stahlhut, Christian Stab, Iryna Gurevych:
Pilot Experiments of Hypothesis Validation Through Evidence Detection for Historians. DESIRES 2018: 83-89 - [c206]Erik-Lân Do Dinh, Iryna Gurevych, Petra Gehring:
Filter and Annotate: Towards Automatic Identification of Genuine Metaphoricity. eScience 2018: 308-309 - [c205]Johannes Daxenberger, Marc Ziegele, Iryna Gurevych, Oliver Quiring:
Automatically Detecting Incivility in Online Discussions of News Media. eScience 2018: 318-319 - [c204]Pedro Bispo Santos, Caroline Verena Wahle, Iryna Gurevych:
Using Facial Expressions of Students for Detecting Levels of Intrinsic Motivation. eScience 2018: 323-324 - [c203]Richard Eckart de Castilho, Jan-Christoph Klie, Naveen Kumar, Beto Boullosa, Iryna Gurevych:
Linking Text and Knowledge Using the INCEpTION Annotation Platform. eScience 2018: 327-328 - [c202]Claudia Schulz, Michael Sailer, Jan Kiesewetter, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych:
Automatic Recommendations for Data Coding: A Use Case from Medical and Teacher Education. eScience 2018: 364-365 - [c201]Daniil Sorokin, Iryna Gurevych:
Interactive Instance-based Evaluation of Knowledge Base Question Answering. EMNLP (Demonstration) 2018: 114-119 - [c200]Beto Boullosa, Richard Eckart de Castilho, Naveen Kumar, Jan-Christoph Klie, Iryna Gurevych:
Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform. EMNLP (Demonstration) 2018: 127-132 - [c199]Erik-Lân Do Dinh, Hannah Wieland, Iryna Gurevych:
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations. EMNLP 2018: 1412-1424 - [c198]Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai, Iryna Gurevych:
Cross-topic Argument Mining from Heterogeneous Sources. EMNLP 2018: 3664-3674 - [c197]Yang Gao, Christian M. Meyer, Iryna Gurevych:
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. EMNLP 2018: 4120-4130 - [c196]Steffen Eger, Paul Youssef, Iryna Gurevych:
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. EMNLP 2018: 4415-4424 - [c195]