People
Speaker: Prof. Dr. Iryna
Gurevych, TU Darmstadt
Co-Speaker: Prof. Dr. Anette Frank, Heidelberg University
Research Area A: Graph-based Discourse Processing
A1: PI: Prof. Dr. Michael Strube, HITS, PhD researcher: Benjamin Heinzerling, M.A., HITS
A2: PI: Prof. Dr. Anette Frank, UHD, PhD researcher: Todor Mihaylov, M.Sc., Heidelberg University
A3: PI: Prof. Dr. Anette Frank and Prof. Dr. Michael Strube, PhD researcher: Ana Marasovic, M.Sc., Heidelberg University
For full information, areas and people see AIPHES project web page at TU Darmstadt.
Published Resources: Heidelberg NLPGroup's GitHub, AIPHES on HeiData and AIPHES GitHub
Publications
Guiding theme A2: Identification of Complex Event Structures in Discourse
- Mihaylov, T. and Frank, A. (2019): Discourse-Aware Semantic Self-Attention For Narrative Reading Comprehension. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, pp. 2541--2552.
- Mihaylov, T. and Frank, A. (2018): Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Melbourne, Australia, pp. 821--832.
- Mihaylov, T. and Frank, A. (2017): Story Cloze Ending Selection Baselines and Data Examination. Proceedings of the Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics – Shared Task, Valencia, Spain.
- Mihaylov, T. and Frank, A. (2016): Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings. Proceedings of the Twentieth Conference on Computational Natural Language Learning - Shared Task, Berlin, Germany, pp. 100--107.
- Mihaylov, T. and Frank, A. (2016): AIPHES-HD system at TAC KBP 2016: Neural Event Trigger Span Detection and Event Type and Realis Disambiguation with Word Embeddings. Proceedings of the Twentieth Conference on Computational Natural Language Learning - Shared Task.
- Paul, D. and Frank, A. (2020): Social Commonsense Reasoning with Multi-Head Knowledge Attention. In Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics.
- Paul, D. and Frank, A. (2019): Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, Minnesota, USA, pp. 3671--3681.
- Marasović, A. and Frank, A. (2018): SRL4ORL: Improving Opinion Role Labelling using Multi-task Learning with Semantic Role Labeling. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Volume 1 (Long Papers), 583--594.
- Marasović, A. and Frank, A. (2017): SRL4ORL: Improving Opinion Role Labelling using Multi-task Learning with Semantic Role Labeling”. In: Learning with Limited Labeled Data Workshop (NIPS), Long Beach, CA, USA.
- Marasović, A., Born, L., Opitz, J., and Frank, A. (2017): A Mention-Ranking Model for Abstract Anaphora Resolution. Proceedings of EMNLP 2017, Copenhagen, Denmark, pp. 221--232.
- Marasović, A. and Frank, A. (2016): Multilingual Modal Sense Classification using a Convolutional Neural Network. Proceedings of the 1st Workshop on Representation Learning for NLP, Berlin, Germany, pp. 111--120.
- Marasović, A., Zhou, M., Palmer, A., and Frank, A. (2016): 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, Stanford, CA., vol. 14 (2), CSLI Publications.
