Between the Lines –
Knowledge-based Analysis of
Argumentation in a Formal
Argumentation Inference System
April — June 2021
Several new publications have appeared in April to June 2021:
Maria Becker, Siting Liang and Anette Frank (2021): Reconstructing Implicit Knowledge with Language Models. Deep Learning Inside Out (DeeLIO): 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures at NAACL 2021, to appear. [ bib ]
Maria Becker, Katharina Korfhage, Debjit Paul and Anette Frank, A. (2021):
CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts. Proceedings of the International Workshop on Computational Semantics (IWCS 2021), Groningen, to appear. [ bib, arXiv ]
Maria Becker, Katharina Korfhage and Anette Frank (2021). COCO-EX: A Tool for Linking Concepts from Texts to ConceptNet. Proceedings of the Software Demonstrations of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), pp. 119–126. [ bib, pdf ]
Sarah Uhrig, Yoalli Garcia, Juri Opitz and Anette Frank (2021): Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing. Proceedings of the 17th International Conference on Parsing Technologies, IWPT 202, Online, to appear.
Juri Opitz and Anette Frank (2021): Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Online, pp. 1504–1518. [ bib | http ]
New publications have been accepted:
Jonathan Kobbe, Ioana Hulpus and Heiner Stuckenschmidt: “Unsupervised Stance Detection for Arguments from Consequences“, to appear in EMNLP 2020.
Jonathan Kobbe, Ines Rehbein, Ioana Hulpus and Heiner Stuckenschmidt (2020): Exploring the use of Morality in Argumentation, In: ArgMining 2020.
Ioana Hulpus, Jonathan Kobbe, Heiner Stuckenschmidt and Graeme Hirst (2020): Knowledge Graphs meet Moral Values, to appear in *SEM 2020.
Several new publications have been accepted:
Becker et al. 2020 present an overview of ExPLAIN’s research endavour in a special issue of Datenbank Spektrum on Argumentative Inteligence.
Juri Opitz, Letitia Parcalabescu and Anette Frank propose “AMR Similarity Metrics from Principles” in a recent TACL Publication and design a novel AMR similarity metric, S²Match, that accounts for graded similarity of symbolic meaning representation graphs.
Paul et al. 2020 propose a novel approach that combines attention-based knowledge selection and on-the-fly knowledge extension in “Argumentative Relation Classification with Background Knowledge“, to appear in COMMA 2020.
Presenting our joint paper “Towards Explaining Natural Language Arguments with Background Knowledge” in the 1st Workshop on Semantic Explainability – co-located with the 18th International Semantic Web Conference (ISWC 2019), Christchurch, New Zealand [pdf].
Our Paper “Exploiting Background Knowledge for Argumentative Relation Classification” wins the Best Student Paper Award at LDK 2019 in Leizpig. Congratulations to all authors!!
Our Paper “Exploiting Background Knowledge for Argumentative Relation Classification” was presented at the LDK conference and the DBpedia day in Leizpig by Jonathan Kobbe.
ExpLAIN presents its ongoing research at the Yearly RATIO Symposium in Bielefeld. Thanks to the Bielefeld team for the organization of the event!