GRK 1994:  Adaptive Informationsaufbereitung aus heterogenen Quellen

• Fachliche Zuordnung: Informatik ; Systemtechnik
• Förderung: Förderung von 2015 bis 2019
• Projektkennung: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 240177810

• Erstellungsjahr: 2021

Zusammenfassung der Projektergebnisse

The overall goal of AIPHES was the automatic information preparation from heterogeneous sources which fits in the overarching objective of the participating institutions: foster future and digital technologies to facilitate novel ways of communicating, collaborating and optimizing processes. In particular, AIPHES aimed at multi-document summarization (MDS) from heterogeneous sources, i.e., the development of automated methods for condensing multiple documents of heterogeneous nature and sources into a coherent, informative, and homogeneous summary. MDS from heterogeneous sources is a task that requires expertise from multiple disciplines. Therefore, we brought together researchers from computational linguistics, natural language processing, machine learning, information management, and algorithmics, who not only work on foundational and challenging problems in their respective domains, but also joined forces across disciplines to achieve this common goal. To facilitate research across areas, we created cross-disciplinary working groups (AGs) and special interest groups (SIGs) to create shared resources and to enable PhD students to acquire relevant knowledge and skills. In particular, as there did not exist a German corpus for the MDS task, all research areas contributed to corpus collection and annotation. The qualification concept within the RTG included a collaboration across disciplines and locations, intensive international networking, scientific consultation of at least two PhD advisors and of one international co-advisor for each doctoral project, and the responsible participation of excellent post-doctoral researchers in doctoral supervision and training jointly with experienced advisors. The graduate program formed a central location for the qualification of young researchers in this highly demanded academic field in the Rhine-Main-Neckar region.

Projektbezogene Publikationen (Auswahl)

• Automatic disambiguation of English puns. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pages 719-729, Beijing, China, July 2015
  Tristan Miller and Iryna Gurevych
  
• Delexicalized Supervised German Lexical Substitution. In Proceedings of GermEval 2015: LexSub, pages 11-16, Duisburg-Essen, Germany, 2015
  Gerold Hintz and Chris Biemann
  
• GermaNER: Free Open German Named Entity Recognition Tool. In Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology (GSCL), pages 31-38, Essen, Germany, 2015
  Darina Benikova, Seid Muhie Yimam, Prabhakaran Santhanam, and Chris Biemann
  
• GermEval 2015: LexSub - A Shared Task for German- language Lexical Substitution. In Proceedings of GermEval 2015: LexSub, pages 1-9, Essen, Germany, 2015
  Tristan Miller, Darina Benikova, and Sallam Abualhaija
  
• GermEval 2015: LexSub - A Shared Task for German- language Lexical Substitution. In Proceedings of GermEval 2015: LexSub, pages 1-9, Essen, Germany, 2015
  Tristan Mille., Darina Benikova, and Sallam Abualhaija
  
• HITS at TAC KBP 2015: Entity discovery and linking, and event nugget detection. In Proceedings of the 8th Text Analysis Conference (TAC), Gaithersburg, MD, USA, 2015
  Benjamin Heinzerling, Alex Judea, and Michael Strube
  
• SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time. In Proceedings of the 24th Text Retrieval Conference (TREC), Gaithersburg, MD, USA, November 2015
  Markus Zopf
  
• Visual Error Analysis for Entity Linking. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL/IJCNLP): System Demonstrations, pages 37-42, Beijing, China, July 2015
  Benjamin Heinzerling and Michael Strube
  
• A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 247-257, Osaka, Japan, December 2016
  Maxime Peyrard and Judith Eckle-Kohler
  
• AIPHES-HD system at TAC KBP 2016: Neural Event Trigger Detection and Event Type and Realis Disambiguation with Word Embeddings. In Proceedings of the TAC Knowledge Base Population (KBP), pages 1-2, Gaithersburg, MD, USA, November 2016
  Todor Mihaylov and Anette Frank
  
• Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL), pages 84-94, Berlin, Germany, August 2016
  Markus Zopf, Eneldo Loza Mencía, and Johannes Fürnkranz
  
• Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 1039-1050, Osaka, Japan, December 2016
  Darina Benikova, Margot Mieskes, Christian MM. Meyer, and Iryna Gurevych.
  
• C4Corpus: Multilingual Web-size corpus with free license. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC), pages 914-922, Portoroz, Slovenia, May 2016
  Ivan Habemal, Omnia Zayed, and Iryna Gurevych
  
• Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks. In Proceedings of the 5th Workshop on Automated Knowledge Base Construction (AKBC), pages 92-96, San Diego, CA, USA, June 2016
  Teresa Martin, Fiete Botschen, Ajay Nagesh, and Andrew McCallum
  
• CNN- and LSTM-based Claim Classification in Online User Comments. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 2740-2751, Osaka, Japan, December 2016
  Chinnappa Guggilla, Tristan Miller, and Iryna Gurevych
  
• Data-driven Paraphrasing and Stylistic Harmonization. In Proceedings of the Student Research Workshop at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (SRW@HLT-NAACL), pages 37-44, San Diego, CA, USA, 2016
  Gerold Hintz
  
• Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings. In Proceedings of the 20th Conference on Computational Natural Language Learning (CoNLL): Shared Task, pages 100-107, Berlin, Germany, August 2016
  Todor Mihaylov and Anette Frank
  
• EmpiriST: AIPHES Robust Tokenization and POS-Tagging for Different Genres. In Proceedings of the 10th Web as Corpus Workshop (WAC-X), page 106-114, Berlin, Germany, August 2016
  Steffen Remus, Gerold Hintz, Darina Benikova, Thomas Arnold, Judith EckIe-Kohler, Chistian Ml. Meyer, Margot Mieskes, and Chris Biemann
  
• EmpiriST: AIPHES Robust Tokenization and POS-Tagging for Dif­ferent Genres. In Proceedings of the 10th Web as Corpus Workshop (WAC-X), page 106-114, Berlin, Germany, August 2016
  Steffen Remus, Gerold Hintz, Darina Benikova, Thomas Arnold, Judith Eckle-Kohler, Christian l. Meyer, Margot Mieskes, and Chris Biemann
  
• Hunting for Troll Comments in News Community Forums. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 399-405, Berlin, Germany, August 2016
  Todor Mihaylov and Preslav Nakov
  
• Language Transfer Learning for Supervised Lexical Substitution. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), pages 118-129, Berlin, Germany, August 2016
  Gerold Hintz and Chris Biemann
  
• MDSWriter: Annotation tool for creating high-quality multi-document summarization corpora. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, pages 97-102, Berlin, Germany, August 2016
  Christian M. Meyer, Darina Benikova, Margot Mieskes, and Iryna Gurevych
  
• Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations. Linguistic Issues in Language Technology, Special issue on "Modality in Natural Language Understanding", 14 (3), August 2016
  Ana Marasovic, Mengfei Zhou, Alexis Palmer, and Anette Frank
  
• Multilingual Modal Sense Classification using a Convolutional Neural Network. In Proceedings of the 1st Workshop on Representation Learning for NLP, pages 111-120, Berlin, Germany, 2016
  Ana Marasovic and Anette Frank
  
• Network Motifs May Improve Quality Assessment of Text Documents. In Proceedings of TextGraphs-10: the Workshop on Graph-based Methods for Natural Language Processing, pages 20-28, San Diego, CA, USA, June 2016
  Thomas Arnold and Karsten Weihe
  
• Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), volume 1: Long Papers, pages 1825-1836, Berlin, Germany, August 2016
  Maxime Peyrard and Judith Eckle-Kohler
  
• Porting an Open Information Extraction System from English to German. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 892-898, Austin, TX, USA, November 2016
  Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, and Ido Dagan
  
• SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Finetuned Word Embeddings. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval), pages 804-811, San Diego, CA, USA, 2016
  Todor Mihaylov and Preslav Nakov
  
• Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 1071-1082, Osaka, Japan, December 2016
  Markus Zopf, Eneldo Loza Mencía, and Johannes Fürnkranz
  
• Super Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 836-843, San Diego, CA, USA, June 2016
  Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, and Galia Angelova
  
• The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 1535-1545, Osaka, Japan, December 2016
  Markus Zopf, Maxime Peyrard, and Judith Eckle-Kohler
  
• Towards the Automatic Detection and Identification of English Puns. European Journal of Humour Research, 4(1):59-75, January 2016
  Tristan Miller and Mladen Turkovic
  
• A Framework for Automated Fact-Checking for Real-Time Validation of Emerging Claims on the Web. In Proceedings of the NIPS Workshop on Prioritising Online Content, page online, Long Beach, LA, USA, November 2017
  Andreas Hanselowski and Iryna Gurevych
  
• A Mention-Ranking Model for Abstract Anaphora Resolution. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 221-232, Copenhagen, Denmark, September 2017
  Ana Marasovic, Leo Born, Juri Opitz, and Anette Frank
  
• A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), volume 2: Short Papers, pages 26-31, Vancouver, BC, Canada, August 2017
  Maxime Peyrard and Judith Eckle-Kohler
  
• An Information Nutritional Label for Online Documents. In SIGIR Forum, volume 51, pages 46-66, December 2017
  Norbert Fuhr, Anastasia Giachanou, Gregory Grefenstette, Iryna Gurevych, Andreas Hanselowski, Kalervo Jarvelin, Rosie Jones, Yiqun Liu, Josiane Mothe, Isabella Peters, and Benno Stein
  
• Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 2951-2961, Copenhagen, Denmark, September 2017
  Tobias Falke and Iryna Gurevych
  
• Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization. In Proceedings of the 8th Interna­tional Joint Conference on Natural Language Processing (IJCNLP), pages 801-811, Taipei, Taiwan, November 2017
  Tobias Falke, Christian M. Meyer, and Iryna Gurevych
  
• Experimental study of multimodal rep­resentations for Frame Identification - How to find the right multimodal representations for this task? In Language-Learning-Logic Workshop (3L 2017), London, UK, September 2017
  Teresa Botschen, Hatem Mousselly-Sergieh, and Iryna Gurevych
  
• GraphDocExplore: A Framework for the Experimental Comparison of Graph­based Document Exploration Techniques. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations, pages 19-24, Copenhagen, Denmark, September 2017
  Tobias Falke and Iryna Gurevych
  
• Is Interaction More Important Than Individual Performance? A Study of Motifs in Wikia. In Proceedings of the 26th International Conference Companion on World Wide Web, pages 1609-1617, Perth, Australia, April 2017
  Thomas Arnold, Johannes Daxenberger, Karsten Weihe, and Iryna Gurevych
  
• Joint Optimization of User-desired Content in Multi-document Sum­maries by Learning from User Feedback. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), volume 1: Long Paper, pages 1353-1363, Vancouver, BC, Canada, August 2017
  Avinesh P. V. S. and Christian M. Meyer
  
• Large-Scale Goodness Polarity Lexicons for Community Question Answering. In SIGIR ’17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1185-1188, Shinjuku, Tokyo, Japan, August 2017
  Todor Mihaylov, Daniel Balchev, Yasen Kiprov, Ivan Koychev, and Preslav Nakov
  
• Learning to Score System Summaries for Better Content Selection Evaluation. In Proceedings of the EMNLP workshop "New Frontiers in Summarization", pages 74-84, Copenhagen, Denmark, September 2017
  Maxime Peyrard, Teresa Botschen, and Iryna Gurevych
  
• LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test. In Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem), pages 56-61, Valencia, Spain, April 2017
  Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé, Judith Eckle-Kohler, Teresa Martin, Eugenio Martínez-Cámara, Daniil Sorokin, Maxime Peyrard, and Iryna Gurevych
  
• Neural Skill Transfer from Supervised Language Tasks to Reading Comprehension. In Proceedings of the NIPS Workshop on Learning with Limited Labeled Data: Weak Supervision and Beyond, Long Beach, CA, USA, 2017
  Todor Mihaylov, Zornitsa Kozareva, and Anette Frank
  
• Out-of-domain FrameNet Semantic Role Labelingr. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 471-482, Valencia, Spain, April 2017
  Silvana Hartmann, Iiet Kuznetsov, Teresa Martin, and Iryna Gurevych
  
• Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame Embeddings. In Proceedings of the 2nd ACL Workshop on Representation Learning for NLP (RepL4NLP), pages 146-156, Vancouver, BC, Canada, August 2017
  Teresa Botschen, Hatem Mousselly-Sergieh, and Iryna Gurevych
  
• Revisiting Selectional Preferences for Coreference Resolution. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1343-1350, Copenhagen, Denmark, 2017
  Benjamin Heinzerling, Nafiise Sadat Moosavi, and Michael Strube
  
• Story Cloze Ending Selection Baselines and Data Examination. In Proceedings of the EMNLP Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem), pages 87-92, Valencia, Spain, April 2017
  Todor Mihaylov and Anette Frank
  
• Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), volume 1: Long Papers, pages 1084-1094, Vancouver, BC, Canada, August 2017
  Maxime Peyrard and Judith Eckle-Kohler
  
• Trust, but Verify! Better Entity Linking through Automatic Verification. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 828-838, Valencia, Spain, April 2017
  Benjamin Heinzerling, Michael Stube, and Chin-Yew Lin
  
• Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining. In Proceedings of the 12th International Conference on Computational Semantics (IWCS), volume 2: Short papers, Montpellier, France, September 2017
  Tobias Falke and Iryna Gurevych.
  
• A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning. In Proceedings of the 7th Joint Conference on Lexical and Computational Semantics (*SEM), pages 225-234, New Orleans, LA, USA, April 2018
  Hatem Mousselly Sergieh, Teresa Botschen, Iryna Gurevych, and Stefan Roth
  
• A Retrospective Analysis of the Fake News Challenge Stance-Detection Task. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), pages 1859-1874, Santa Fe, NM, USA, August 2018
  Andreas Hanselowski, Avinesh P. V. S., Benjamin Schiller, Felix Caspelherr, Debanjan Chaudhuri, Christian M. Meyer, and Iryna Gurevych
  
• Advanced Motif Analysis on Text Induced Graphs. PhD thesis, Technische Universität, Darmstadt, May 2018
  Thomas Otmar Arnold
  
• ArgumenText: Searching for Arguments in Heterogeneous Sources. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL): System Demonstrations, pages 21-25, New Orleans, Louisiana, June 2018
  Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller, Benjamin Schiller, Christopher Tauchmann, Steffen Eger, and Iryna Gurevych
  
• auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus. In Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), pages 3228-3233, Miyazaki, Japan, May 2018
  Markus Zopf
  
• Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data. In Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), pages 3184-3191, Miyazaki, Japan, May 2018
  Christopher Tauchmann, Thomas Arnold, Andreas Hanselowski, Christian M. Meyer, and Margot Mieskes
  
• BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages. In Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), pages 2989-2993, Miyazaki, Japan, 2018
  Benjamin Heinzerling and Michael Strube
  
• Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 2381-2391, Brussels, Belgium, August 2018
  Todor Mihaylov, Peter Clark, Tushar Khot, and Ashish Sabharwal
  
• Concatenated Power Mean Word Embed­dings as Universal Cross-Lingual Sentence Representations. March 2018
  Andreas Rücklé, Steffen Eger, Maxime Peyrard, and Iryna Gurevych
  
• Estimating Summary Quality with Pairwise Preferences. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), page 1687-1696, Miyazaki, Japan, June 2018
  Markus Zopf
  
• Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning. In Proceedings of the 5th Workshop on Argument Mining held in conjunction with EMNLP 2018, volume Short Papers, pages 90-96, Brussels, Belgium, August 2018
  Teresa Botschen, Daniil Sorokin, and Iryna Gurevych
  
• Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), pages 821-832, Melbourne, Australia, 2018
  Todor Mihaylov and Anette Frank
  
• Live Blog Corpus for Summarization. In Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), pages 3197-3203, Miyazaki, Japan, May 2018
  Avinesh P. V. S., Maxime Peyrard, and Chnstian M. Meyer
  
• Multimodal Frame Identification with Multilingual Evaluation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), pages 1481-1491, New Orleans, LA, USA, June 2018
  Teresa Botschen, Iryna Gurevych, Jan-Christoph Klie, Hatem Mousselly Sergieh, and Stefan Roth
  
• Multimodal Grounding for Language Processing. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), pages 2325-2339, Santa Fe, NM, USA, June 2018
  Teresa Botschen, Lisa Beinborn, and Iryna Gurevych
  
• Objective Function Learning to Match Human Judgements for Optimization-Based Summarization. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), pages 654-660, New Orleans, LA, USA, June 2018
  Maxime Peyrard and Iyna Gurevych
  
• Sherlock: A System for Interactive Summarization of Large Text Collections. In Proceedings of the VLDB Endowment, volume 11, pages 1902-1905, Rio De Janerio, Brazil, July 2018
  Avinesh P. V. S., Benjamin Hattasch, Orkan Ozyurt, Carsten Binnig, and Christian M. Meyer
  
• SRL4ORL: Improving Opinion Role Labeling using Multitask Learning with Semantic Role Labeling. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), pages 583-594, New Orleans, LA, USA, 2018
  Ana Marasovic and Anette Frank
  
• Towards Interactive Summarization of Large Document Collections. In Proceedings of the First Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES), volume 2167 of CEUR Workshop Proceedings, page 103, 2018
  Benjamin Hattasch
  
• UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER), pages 103-108, Brussels, Belgium, November 2018
  Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, and Iryna Gurevych
  
• What’s Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization. In Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), pages 272-277, Valencia, Spain, October 2018
  Markus Zopf, Teresa Botschen, Tobias Falke, Benjamin Heinzerling, Ana Marasovic, Todor Mihaylov, Avinesh P. V. S., Eneldo Loza Mencia, Johannes Fürnkranz, and Anette Frank
  
• Which Scores to Predict in Sentence Regression for Text Summarization? In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), page 1782-1791, New Orleans, LA, USA, June 2018
  Markus Zopf, Eneldo Loza Menc.a, and Johannes Fürnkranz
  
• A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 493-503, Hong Kong, China, November 2019
  Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, and Iryna Gurevych
  
• Data-efficient Neural Text Compression with Interactive Learning. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, pages 2543-2554, Minneapolis, USA, February 2019
  Avinesh P. V. S. and Christian M. Meyer
  
• DBPal: Weak Supervision for Learning a Natural Language Interface to Databases. In 1st International Workshop on Conversational Access to Data (CAST) in conj. with the 45th International Conference on Very Large Data Bases (VLDB), Los Angeles, California, USA, August 2019
  Nathaniel Weir, Andrew Crotty, Alex Galakatos, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Ugur Cetintemel, Prasetya Utama, Nadja Geisler, Benjamin Hättasch, Steffen Eger and Carsten Binnig
  
• Enhancing AMR-to-Text Generation with Dual Graph Representations. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 3183-3194, Hong Kong, China, August 2019
  Leonardo F. R. Ribeiro, Claire Gardent, and Iryna Gurevych
  
• Evaluating Machine Translation without Human References Using Cross-lingual Encoders. In The first annual EurNLP summit, Facebook London, London, United Kingdom, October 2019
  Wei Zhao, Yang Gao, and Steffen Eger
  
• Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 695-700, Minneapolis, Minnesota, June 2019
  Tobias Falke and Iryna Gurevych
  
• Fine-Grained Entity Typing in Hyperbolic Space. In Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019), pages 169-180, Florence, Italy, August 2019
  Federico López, Benjamin Heinzerling, and Michael Strube
  
• Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 29-34, Minneapolis, Minnesota, June 2019
  Debjit Paul, Mittul Singh, Michael A. Hedderich, and Dietrich Klakow
  
• Improving Generalization by Incorporating Coverage in Natural Language Inference. September 2019
  Naffise Sadat Moosavi, Prasetya Utama, Andreas Rücklé, and Iyna Gurevych
  
• Information Preparation with the Humanin the Loop. PhD thesis, TU Darmstadt, Darmstadt, 2019
  Avinesh P. V. S.
  
• Interactive Summarization of Large Document Collections. In Proceedings of the Workshop on Human-In-the-Loop Data Analytics, Amsterdam, Netherlands, 2019
  Benjamin Hattasch, Christian Ml. Meyer, and Carsten Binnig
  
• J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. In Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), volume 11908 of Lecture Notes in Computer Science, pages 339-355, Wurzburg, Germany, August 2019
  Avinesh P. V. S., Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, and Mark Sanderson
  
• Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings. In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea, October 2019
  Shweta Mahajan, Teresa Botschen, Iryna Gurevych, and Stefan Roth
  
• Learning Analogy-Preserving Sentence Embeddings for Answer Selection. In Proceedings of the 23rd Conference on Computational Natural Language Learning, pages 910-919, Hong Kong, China, November 2019
  Aissatou Diallo, Markus Zopf, and Johannes Fürnkranz
  
• Learning Dual Graph Representations for AMR-to-Text Generation. In The First International Workshop on Deep Learning on Graphs: Methods and Applications (DLG’19), in Conjunction with the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Anchorage, Alaska, USA, August 2019
  Leonardo F. R. Ribeiro, Claire Gardent, and Iryna Gurevych
  
• MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 563-578, Hong Kong, China, August 2019
  Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, and Steffen Eger
  
• Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 3671-3681, Minneapolis, Minnesota, June 2019
  Debjit Paul and Anette Frank
  
• Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pages 2214­2220, Florence, Italy, May 2019
  Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Utama, Ido Dagan, and Iryna Gurevychl
  
• Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), page 1549-1559, Florence, Italy, May 2019
  Wei Zhao, Haiyun Peng, Steffen Eger, Eric Cambria, and Min Yang
  
• A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 460-475, Online, November 2020
  Federico López and Míchael Strube
  
• A Machine-Learning-Based Pipeline Approach to Automated Fact-Checking. PhD thesis, Technische Universität, Darmstadt, November 2020
  Andreas Hanselowski
  
• Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. In Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, pages 43-49, online, November 2020
  Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov, and Goran Glavas
  
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