Khalid Al Khatib

Orcid: 0009-0006-7255-5349

Affiliations:
  • University of Groningen, The Netherlands
  • Bauhaus University Weimar, Faculty of Media, Germany
  • University of Stuttgart, Institute for Natural Language Processing, Germany


According to our database1, Khalid Al Khatib authored at least 35 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
A New Dataset for Causality Identification in Argumentative Texts.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Indicative Summarization of Long Discussions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Citance-Contextualized Summarization of Scientific Papers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unveiling the Power of Argument Arrangement in Online Persuasive Discussions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432).
Dagstuhl Reports, October, 2022

Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Analyzing Persuasion Strategies of Debaters on Social Media.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021.
SIGIR Forum, 2021

Summary Explorer: Visualizing the State of the Art in Text Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Controlled Neural Sentence-Level Reframing of News Articles.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Generating Informative Conclusions for Argumentative Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Employing Argumentation Knowledge Graphs for Neural Argument Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Webis-News-Bias-20.
Dataset, October, 2020

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.
CoRR, 2020

Detecting Media Bias in News Articles using Gaussian Bias Distributions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

News Editorials: Towards Summarizing Long Argumentative Texts.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Analyzing the Persuasive Effect of Style in News Editorial Argumentation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

End-to-End Argumentation Knowledge Graph Construction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Computational Argumentation Synthesis as a Language Modeling Task.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

2018
Learning to Flip the Bias of News Headlines.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Argumentation Synthesis following Rhetorical Strategies.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Modeling Deliberative Argumentation Strategies on Wikipedia.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Patterns of Argumentation Strategies across Topics.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

WAT-SL: A Customizable Web Annotation Tool for Segment Labeling.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Building an Argument Search Engine for the Web.
Proceedings of the 4th Workshop on Argument Mining, 2017

2016
Cross-Domain Mining of Argumentative Text through Distant Supervision.
Proceedings of the NAACL HLT 2016, 2016

Using Argument Mining to Assess the Argumentation Quality of Essays.
Proceedings of the COLING 2016, 2016

A News Editorial Corpus for Mining Argumentation Strategies.
Proceedings of the COLING 2016, 2016

2015
A Shared Task on Argumentation Mining in Newspaper Editorials.
Proceedings of the 2nd Workshop on Argumentation Mining, 2015

2012
Automatic Detection of Point of View Differences in Wikipedia.
Proceedings of the COLING 2012, 2012

2010
Automatic Extraction of Arabic Multi-Word Terms.
Proceedings of the International Multiconference on Computer Science and Information Technology, 2010


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