Joint project between Prof. Anette Frank (ICL, Heidelberg University) and Prof. Heiner Stuckenschmidt (University of Mannheim) within the DFG priority program RATIO: Robust Argumentation Machines
The project will uncover missing explanatory links in argumentative texts, fill in automatically acquired knowledge that makes the structure of the argument explicit and establish and verify the knowledge-enhanced argumentation structure with a combination of formal reasoning and machine learning.
People:
PIs: Prof. Dr. Anette Frank, Heidelberg University, Prof. Dr. Heiner Stuckenschmidt, University of Mannheim
Post-doctoral researchers: Dr. Viviane Nastase, Heidelberg University, Dr. Ioana Hulpus, Univ. Mannheim, Dr. Christian Meilicke, Univ. Mannheim
Doctoral researchers: Maria Becker, M.A. and Juri Opitz, B.A., Heidelberg University; Jonathan Kobbe, MSc., Univ. Mannheim
Selected Publications:
- M. Becker, S. Liang and A. Frank (2021): Reconstructing Implicit Knowledge with Language Models. in: Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures at NAACL 2021, pp. 11-24. *Best Paper Award*
- M. Becker, I. Hulpus, J. Opitz, D. Paul, J. Kobbe, H. Stuckenschmidt and A. Frank (2020). Explaining Arguments with Background Knowledge – Towards Knowledge-based Argumentation Analysis in: Datenbank-Spektrum, 20, pp. 131-141.
- D. Paul, J. Opitz, M. Becker, J. Kobbe, G. Hirst and A. Frank (2020). Argumentative Relation Classification with Background Knowledge. in: Proceedings of the 8th International Conference on Computational Models of Argument (COMMA 2020),pp. 319-330. *Nomination for Best Student Paper Award (three runner-ups)*
- M. Becker, K. Korfhage, and A. Frank (2020): Implicit Knowledge in Argumentative Texts: An Annotated Corpus. Proceedings of LREC. Marseille, France.
- M. Becker, M. Staniek, V. Nastase and A. Frank (2019): Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting. RELATIONS - Workshop on meaning relations between phrases and sentences (co-located with IWCS), Gothenborg, Sweden.
- M. Becker, M. Staniek, V. Nastase, A. Palmer, A. Frank (2019): Classifying Semantic Clause Types with Recurrent Neural Networks: Analysis of Attention, Context and Genre Characteristics. TAL Journal (Traitement Automatique des Langues / Natural Language Processing): Special issue Deep Learning for Natural Language Processing.
- I. Hulpus, J. Kobbe, M. Becker, J. Opitz, G. Hirst, C. Meilicke, V. Nastase, H. Stuckenschmidt and A. Frank (2019): Towards Explaining Natural Language Arguments with Background Knowledge, Proceedings of the 1st Workshop on Semantic Explainability – co-located with the 18th International Semantic Web Conference (ISWC 2019), Christchurch, New Zealand.
- J. Kobbe, J. Opitz, M. Becker, I. Hulpus, H. Stuckenschmidt and A. Frank (2019): Exploiting Background Knowledge for Argumentative Relation Classification, Second Conference on Language, Data and Knowledge (LDK 2019). *Best Student Paper Award*
- J. Opitz and A. Frank (2019): Dissecting Content and Context in Argumentative Relation Analysis. Proceedings of the Sixth Workshop on Argument Mining (co-located with ACL 2019), Florence, Italy.
- J. Opitz and A. Frank (2019): Automatic Accuracy Prediction for AMR Parsing. Proceedings of The Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), Minneapolis, Minnesota, pp. 212–-223.
- J. Opitz (2019): Argumentative relation classification as plausibility ranking. Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019): Long Papers, Erlangen, Germany, pp. 193–202, German Society for Computational Linguistics & Language Technology.
- M. Becker, M. Staniek, V. Nastase and A. Frank (2017): Enriching Argumentative Texts with Implicit Knowledge. Frasinca, F., Ittoo, A., Nguyen, L., and Metais, E. (eds.), Applications of Natural Language to Data Bases (NLDB) – Natural Language Processing and Information Systems, Lecture Notes in Computer Science, Springer. The final publication is available at Springer.
- M. Becker, A. Palmer and A. Frank (2017): Semantic Clause Types and Modality as Features for Argument Analysis. Argument & Computation, Special Issue on Language and Argumentation.
- M. Becker (2016): Argumentative Reasoning, Clause Types and Implicit Knowledge. In: Gaggl, S. and Thimm, M. (eds.): Proceedings of the Second Summer School on Argumentation: Computational and Linguistic Perspectives, pp. 1-2, *Best Poster Award*.
- M. Becker, A. Palmer and A. Frank (2016): Clause Types and Modality in Argumentative Microtexts. Workshop on Foundations of the Language of Argumentation (in conjunction with COMMA 2016), Potsdam, Germany, pp. 1-9.
- M. Becker, A. Palmer and A. Frank (2016): Argumentative texts and clause types. Proceedings of the 3rd Workshop on Argument Mining (ArgMining2016), Berlin, Germany, pp. 21-30.
