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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
- 2021
[c278]Tilman Beck, Ji-Ung Lee, Christina Viehmann, Marcus Maurer, Oliver Quiring, Iryna Gurevych:
Investigating label suggestions for opinion mining in German Covid-19 social media. ACL/IJCNLP (1) 2021: 1-13- [c277]Nils Reimers, Iryna Gurevych:
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes. ACL/IJCNLP (2) 2021: 605-611 - [c276]Phillip Rust, Jonas Pfeiffer, Ivan Vulic, Sebastian Ruder, Iryna Gurevych:
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models. ACL/IJCNLP (1) 2021: 3118-3135 - [c275]Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. ACL/IJCNLP (1) 2021: 5768-5781 - [c274]Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych:
Metaphor Generation with Conceptual Mappings. ACL/IJCNLP (1) 2021: 6724-6736 - [c273]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. EACL 2021: 487-503 - [c272]Mohsen Mesgar, Edwin Simpson, Iryna Gurevych:
Improving Factual Consistency Between a Response and Persona Facts. EACL 2021: 549-562 - [c271]Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych:
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. NAACL-HLT 2021: 296-310 - [c270]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. NAACL-HLT 2021: 380-396 - [i113]Yevgeniy Puzikov, Simoes Stanley, Iryna Gurevych, Immanuel Schweizer:
Empirical Evaluation of Supervision Signals for Style Transfer Models. CoRR abs/2101.06172 (2021) - [i112]Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Focusing Knowledge-based Graph Argument Mining via Topic Modeling. CoRR abs/2102.02086 (2021) - [i111]Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych:
Structural Adapters in Pretrained Language Models for AMR-to-text Generation. CoRR abs/2103.09120 (2021) - [i110]Gregor Geigle, Jonas Pfeiffer, Nils Reimers, Ivan Vulic, Iryna Gurevych:
Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval. CoRR abs/2103.11920 (2021) - [i109]James Thorne, Max Glockner, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych:
Evidence-based Verification for Real World Information Needs. CoRR abs/2104.00640 (2021) - [i108]Kexin Wang, Nils Reimers, Iryna Gurevych:
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning. CoRR abs/2104.06979 (2021) - [i107]Gregor Geigle, Nils Reimers, Andreas Rücklé, Iryna Gurevych:
TWEAC: Transformer with Extendable QA Agent Classifiers. CoRR abs/2104.07081 (2021) - [i106]Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych:
What to Pre-Train on? Efficient Intermediate Task Selection. CoRR abs/2104.08247 (2021) - [i105]Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
Learning to Reason for Text Generation from Scientific Tables. CoRR abs/2104.08296 (2021) - [i104]Kevin Stowe, Iryna Gurevych:
Combating Temporal Drift in Crisis with Adapted Embeddings. CoRR abs/2104.08535 (2021) - [i103]Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych:
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. CoRR abs/2104.08663 (2021) - [i102]Tilman Beck, Ji-Ung Lee, Christina Viehmann, Marcus Maurer, Oliver Quiring, Iryna Gurevych:
Investigating label suggestions for opinion mining in German Covid-19 social media. CoRR abs/2105.12980 (2021) - [i101]Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych:
Metaphor Generation with Conceptual Mappings. CoRR abs/2106.01228 (2021) - [i100]Ji-Ung Lee, Jan-Christoph Klie, Iryna Gurevych:
Annotation Curricula to Implicitly Train Non-Expert Annotators. CoRR abs/2106.02382 (2021) - [i99]Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavas:
Scientia Potentia Est - On the Role of Knowledge in Computational Argumentation. CoRR abs/2107.00281 (2021) - [i98]Tilman Beck, Bela Bohlender, Christina Viehmann, Vincent Hane, Yanik Adamson, Jaber Khuri, Jonas Brossmann, Jonas Pfeiffer, Iryna Gurevych:
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters. CoRR abs/2108.08103 (2021) - [i97]Nils Dycke, Edwin Simpson, Ilia Kuznetsov, Iryna Gurevych:
Ranking Scientific Papers Using Preference Learning. CoRR abs/2109.01190 (2021) - [i96]Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych:
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. CoRR abs/2109.03808 (2021) - 2020
- [j30]Gözde Gül Sahin
, Clara Vania, Ilia Kuznetsov, Iryna Gurevych:
LINSPECTOR: Multilingual Probing Tasks for Word Representations. Comput. Linguistics 46(2): 335-385 (2020) - [j29]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) - [j28]Yang Gao, Christian M. Meyer, Iryna Gurevych:
Preference-based interactive multi-document summarisation. Inf. Retr. J. 23(6): 555-585 (2020) - [j27]Edwin Simpson, Iryna Gurevych:
Scalable Bayesian preference learning for crowds. Mach. Learn. 109(4): 689-718 (2020) - [j26]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) - [j25]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) - [j24]Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. Trans. Assoc. Comput. Linguistics 8: 759-775 (2020) - [c269]Gözde Gül Sahin, Iryna Gurevych:
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology. AAAI 2020: 7814-7821 - [c268]Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych:
Low Resource Sequence Tagging with Weak Labels. AAAI 2020: 8862-8869 - [c267]Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Fine-Grained Argument Unit Recognition and Classification. AAAI 2020: 9048-9056 - [c266]Gözde Gül Sahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych:
PuzzLing Machines: A Challenge on Learning From Small Data. ACL 2020: 1241-1254 - [c265]Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych:
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels. ACL 2020: 1439-1450 - [c264]Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych:
Empowering Active Learning to Jointly Optimize System and User Demands. ACL 2020: 4233-4247 - [c263]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 - [c262]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 - [c261]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. CoNLL 2020: 108-118 - [c260]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 - [c259]Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych:
AdapterHub: A Framework for Adapting Transformers. EMNLP (Demos) 2020: 46-54 - [c258]Ilia Kuznetsov, Iryna Gurevych:
A matter of framing: The impact of linguistic formalism on probing results. EMNLP (1) 2020: 171-182 - [c257]Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. EMNLP (Findings) 2020: 839-853 - [c256]Max Glockner, Ivan Habernal, Iryna Gurevych:
Why do you think that? Exploring faithful sentence-level rationales without supervision. EMNLP (Findings) 2020: 1080-1095 - [c255]Andreas Rücklé, Jonas Pfeiffer, Iryna Gurevych:
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale. EMNLP (1) 2020: 2471-2486 - [c254]Nils Reimers, Iryna Gurevych:
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation. EMNLP (1) 2020: 4512-4525 - [c253]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Towards Debiasing NLU Models from Unknown Biases. EMNLP (1) 2020: 7597-7610 - [c252]Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer. EMNLP (1) 2020: 7654-7673 - [c251]Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. ICLR 2020 - [c250]Elisabeth Bauer, Michael Sailer, Jan Kiesewetter, David Williamson Shaffer, Claudia Schulz, Jonas Pfeiffer, Iryna Gurevych, Martin R. Fischer, Frank Fischer:
Pre-Service Teachers' Diagnostic Argumentation: What is the Role of Conceptual Knowledge and Cross-Domain Epistemic Activities? ICLS 2020 - [c249]Pedro Bispo Santos, Caroline Verena Bhowmik, Iryna Gurevych:
Avoiding Bias in Students' Intrinsic Motivation Detection. ITS 2020: 89-94 - [e10]Iryna Gurevych, Marianna Apidianaki, Manaal Faruqui:
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, *SEM@COLING 2020, Barcelona, Spain (Online), December 12-13, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-32-3 [contents] - [i95]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Stance Detection Benchmark: How Robust Is Your Stance Detection? CoRR abs/2001.01565 (2020) - [i94]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) - [i93]Shweta Mahajan, Iryna Gurevych, Stefan Roth:
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings. CoRR abs/2002.06661 (2020) - [i92]Kevin Stowe, Leonardo F. R. Ribeiro, Iryna Gurevych:
Metaphoric Paraphrase Generation. CoRR abs/2002.12854 (2020) - [i91]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) - [i90]Nils Reimers, Iryna Gurevych:
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation. CoRR abs/2004.09813 (2020) - [i89]Gözde Gül Sahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych:
PuzzLing Machines: A Challenge on Learning From Small Data. CoRR abs/2004.13161 (2020) - [i88]Ilia Kuznetsov, Iryna Gurevych:
A Matter of Framing: The Impact of Linguistic Formalism on Probing Results. CoRR abs/2004.14999 (2020) - [i87]Mohsen Mesgar, Edwin Simpson, Yue Wang, Iryna Gurevych:
Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. CoRR abs/2005.00036 (2020) - [i86]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) - [i85]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. CoRR abs/2005.00084 (2020) - [i84]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. CoRR abs/2005.00247 (2020) - [i83]Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych:
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields. CoRR abs/2005.00250 (2020) - [i82]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) - [i81]Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych:
Empowering Active Learning to Jointly Optimize System and User Demands. CoRR abs/2005.04470 (2020) - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych:
Investigating Pretrained Language Models for Graph-to-Text Generation. CoRR abs/2007.08426 (2020) - [i75]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) - [i74]Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Towards Debiasing NLU Models from Unknown Biases. CoRR abs/2009.12303 (2020) - [i73]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) - [i72]Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. CoRR abs/2010.03338 (2020) - [i71]Max Glockner, Ivan Habernal, Iryna Gurevych:
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. CoRR abs/2010.03384 (2020) - [i70]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) - [i69]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) - [i68]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) - [i67]Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer:
Ranking Creative Language Characteristics in Small Data Scenarios. CoRR abs/2010.12613 (2020) - [i66]Michael Bugert, Nils Reimers, Iryna Gurevych:
Cross-Document Event Coreference Resolution Beyond Corpus-Tailored Systems. CoRR abs/2011.12249 (2020) - [i65]Nils Reimers, Iryna Gurevych:
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes. CoRR abs/2012.14210 (2020) - [i64]Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts. CoRR abs/2012.15562 (2020) - [i63]Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. CoRR abs/2012.15573 (2020) - [i62]Phillip Rust, Jonas Pfeiffer, Ivan Vulic, Sebastian Ruder, Iryna Gurevych:
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models. CoRR abs/2012.15613 (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) - [c248]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. AAAI 2019: 6932-6939 - [c247]Claudia Schulz, Christian M. Meyer, Iryna Gurevych:
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning. AAAI 2019: 6974-6981 - [c246]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 - [c245]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 - [c244]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 - [c243]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 - [c242]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 - [c241]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 - [c240]Iryna Gurevych:
Claim Validation by Humans and Machines: Where We Are and the Road Ahead. Text2Story@ECIR 2019: 1 - [c239]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 - [c238]Max Eichler, Gözde Gül Sahin, Iryna Gurevych:
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations. EMNLP/IJCNLP (3) 2019: 127-132 - [c237]Edwin D. Simpson, Iryna Gurevych:
A Bayesian Approach for Sequence Tagging with Crowds. EMNLP/IJCNLP (1) 2019: 1093-1104 - [c236]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. EMNLP/IJCNLP (1) 2019: 1607-1617 - [c235]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 - [c234]Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych:
Enhancing AMR-to-Text Generation with Dual Graph Representations. EMNLP/IJCNLP (1) 2019: 3181-3192 - [c233]Nils Reimers, Iryna Gurevych:
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. EMNLP/IJCNLP (1) 2019: 3980-3990 - [c232]Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth:
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. ICCV Workshops 2019: 4561-4570 - [c231]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 - [c230]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. IJCAI 2019: 2350-2356 - [c229]Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych:
Revisiting the Binary Linearization Technique for Surface Realization. INLG 2019: 268-278 - [c228]Tobias Falke, Iryna Gurevych:
Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization. NAACL-HLT (1) 2019: 695-700 - [c227]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 - [c226]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 - [c225]Tristan Miller, Maria Sukhareva, Iryna Gurevych:
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd. NAACL-HLT (1) 2019: 1790-1796 - [c224]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. RepL4NLP@ACL 2019: 55-60 - [c223]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 - [c222]Andreas Rücklé, Krishnkant Swarnkar, Iryna Gurevych:
Improved Cross-Lingual Question Retrieval for Community Question Answering. WWW 2019: 3179-3186 - [i61]Jan-Christoph Klie, Federico López, Iryna Gurevych, Michael Strube:
HITS-UKP at TAC KBP 2019: Entity Discovery and Linking Track. TAC 2019 - [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]