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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 ]

October 2020

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.

July  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.

October 2019

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].

August  2019

Presenting our paper “Dissecting Content and Context in Argumentative Realtion Analysis” in the 6th Argument Mining Workshop in Florence [pdf, slides].

May 2019

New paper accepted at the Workshop on Argument Mining in Florence, co-located with ACL 2019:  “Dissecting Content and Context in Argumentative Relation Analysis”. Congratulations!!

May 2019

Our Paper “Exploiting Background Knowledge for Argumentative Relation Classification” wins the Best Student Paper Award at LDK 2019 in Leizpig. Congratulations to all authors!!

May 2019

Our Paper “Exploiting Background Knowledge for Argumentative Relation Classification” was presented at the LDK conference and the DBpedia day in Leizpig by Jonathan Kobbe.

May 2019

ExpLAIN presents its ongoing research at the Yearly RATIO Symposium in Bielefeld. Thanks to the Bielefeld team for the organization of the event!

April 2019

Two papers of the ExpLAIN group have been accepted: The paper on Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting at the IWCS-RELATIONS  Workshop, and the paper on Automatic Accuracy Prediction for AMR Parsing at *SEM

March 2019

Our paper on Exploiting Background Knowledge in Argumentative Relation Classification has been accepted at LDK 2019 in Leipzig!


Graeme Hirst University of Toronto gave a talk in the CL-Colloquium on Who decides what a text means? (And what the answer implies for computational linguistics) [Abstract]


Graeme Hirst University of Toronto gave a talk in the DWS-Kolloquium on Classifying Verbal Autopsy Records by Cause of Death 
using Neural Networks and Temporal Reasoning

March 2019

Prof. Graeme Hirst visits ExpLAIN


Dr. Yufang Hou (IBM Ireland) visits ExpLAIN in Heidelberg. She gives a talk in the CL-Colloquium on Computational Argumentation: A Personal Journey (Abstract)


ExpLAIN participates in the Hackathon Event at CITEC Bielefeld.


ExpLAIN participates in the RATIO Kick-off meeting at the Center for Interdisciplinary Studies (ZiF) at Bielefeld