YAMEN AJJOUR
Research Interests
Yamen Ajjour is a postdoctoral researcher at the Institute for Artificial Intelligence of Leibniz University Hannover. His research interests lie in argument technology and computational ethics. His research on argument technology was awarded the Best Paper Award at the German Conference on Artificial Intelligence 2019. Currently, he is investigating how media bias affects prompt-based learning. Yamen co-organized several shared tasks related to computational argumentation and has several publications in this area as well as in framing and question answering. He has been reviewing for major NLP conferences for six years and has been awarded the Outstanding Reviewer Award at EACL 2023.
Publications
Showing results 1 - 20 out of 20
Topic Ontologies for Arguments. / Ajjour, Yamen; Kiesel, Johannes; Stein, Benno et al.
Findings of the Association for Computational Linguistics: EACL 2023. Kroatien : Association for Computational Linguistics, 2023. p. 1411–1427.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Identifying Argumentative Questions in Web Search Logs. / Ajjour, Yamen; Braslavski, Pavel; Bondarenko, Alexander et al.
45th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2022). ed. / Enrique Amigó; Pablo Castells; Julio Gonzalo; Ben Carterette; J. Shane Culpepper; Gabriella Kazai. ACM DL, 2022. p. 2393-2399.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Towards Understanding and Answering Comparative Questions. / Bondarenko, Alexander; Ajjour, Yamen; Dittmar, Valentin et al.
15th ACM International Conference on Web Search and Data Mining (WSDM 2022). ed. / K. Selcuk Candan; Huan Liu; Leman Akoglu; Xin Luna Dong; Jiliang Tang. ACM DL, 2022. p. 66-74.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Analysing the Submissions to the Same Side Stance Classification Task. / Ajjour, Yamen; Al-Khatib, Khalid.
Same Side Stance Classification Shared Task 2019. ed. / Yamen Ajjour; Khalid Al-Khatib; Philipp Cimiano; Roxanne El Baff; Basil Ell; Benno Stein; Henning Wachsmuth. Vol. 2921 2021. p. 8-11 (CEUR Workshop Proceedings).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Preface. / Ajjour, Yamen; Al-Khatib, Khalid; Cimiano, Philipp et al.
In: CEUR Workshop Proceedings, Vol. 2921, 2021.Research output: Contribution to journal › Editorial in journal › Research
Same Side Stance Classification Shared Task 2019. / Ajjour, Yamen (Editor); Al-Khatib, Khalid (Editor); Cimiano, Philipp (Editor) et al.
2021. (CEUR Workshop Proceedings).Research output: Book/Report › Anthology › Research › peer review
Overview of Touché 2021 : Argument Retrieval: Extended Abstract. / Bondarenko, Alexander; Gienapp, Lukas; Fröbe, Maik et al.
Advances in Information Retrieval: 43rd European Conference on IR Research, Proceedings. ed. / Djoerd Hiemstra; Marie-Francine Moens; Josiane Mothe; Raffaele Perego; Martin Potthast; Fabrizio Sebastiani. Springer Science and Business Media Deutschland GmbH, 2021. p. 574-582 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12657 LNCS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Overview of Touché 2021 : Argument retrieval. / Bondarenko, Alexander; Gienapp, Lukas; Fröbe, Maik et al.
In: CEUR Workshop Proceedings, Vol. 2936, 2021, p. 2258-2284.Research output: Contribution to journal › Conference article › Research
Overview of Touché 2021: Argument Retrieval. / Bondarenko, Alexander; Gienapp, Lukas; Fröbe, Maik et al.
Experimental IR Meets Multilinguality, Multimodality, and Interaction. 12th International Conference of the CLEF Association (CLEF 2021). ed. / K. Selçuk Candan; Bogdan Ionescu; Lorraine Goeuriot; Henning Müller; Alexis Joly; Maria Maistro; Florina Piroi; Guglielmo Faggioli; Nicola Ferro. Vol. 12880 Berlin Heidelberg New York : Springer, 2021. p. 450-467 (Lecture Notes in Computer Science).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Modern Talking in Key Point Analysis: Key Point Matching using Pretrained Encoders. / Reimer, Jan Heinrich; Luu, Thi Kim Hanh; Henze, Max et al.
8th Workshop on Argument Mining, ArgMining 2021 - Proceedings. ed. / Khalid Al-Khatib; Yufang Hou; Manfred Stede. Association for Computational Linguistics, 2021. p. 175-183.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Same side stance classification. / Stein, Benno; Ajjour, Yamen; El Baff, Roxanne et al.
In: CEUR Workshop Proceedings, Vol. 2921, 2021, p. 1-7.Research output: Contribution to journal › Conference article › Research › peer review
Overview of Touché 2020 : Argument Retrieval: Extended Abstract. / Bondarenko, Alexander; Fröbe, Maik; Beloucif, Meriem et al.
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th International Conference of the CLEF Association, CLEF 2020, Proceedings. ed. / Avi Arampatzis; Evangelos Kanoulas; Theodora Tsikrika; Stefanos Vrochidis; Hideo Joho; Christina Lioma; Carsten Eickhoff; Aurélie Névéol; Aurélie Névéol; Linda Cappellato; Nicola Ferro. Springer Science and Business Media Deutschland GmbH, 2020. p. 384-395 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12260 LNCS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Overview of Touché 2020 : Argument Retrieval. / Bondarenko, Alexander; Fröbe, Maik; Beloucif, Meriem et al.
In: CEUR Workshop Proceedings, Vol. 2696, 2020.Research output: Contribution to journal › Conference article › Research › peer review
Data Acquisition for Argument Search : The args.me Corpus. / Ajjour, Yamen; Wachsmuth, Henning; Kiesel, Johannes et al.
KI 2019: Advances in Artificial Intelligence: 42nd German Conference on AI, Proceedings. ed. / Christoph Benzmüller; Heiner Stuckenschmidt. Berlin Heidelberg New York : Springer Verlag, 2019. p. 48-59 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11793 LNAI).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Modeling Frames in Argumentation. / Ajjour, Yamen; Alshomary, Milad; Wachsmuth, Henning et al.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). ed. / Kentaro Inui; Jing Jiang; Vincent Ng; Xiaojun Wan. Association for Computational Linguistics, 2019. p. 2922-2932.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Visualization of the Topic Space of Argument Search Results in args.me. / Ajjour, Yamen; Wachsmuth, Henning; Kiesel, Dora et al.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstrations). ed. / Eduardo Blanco; Wei Lu. Brüssel : Association for Computational Linguistics (ACL), 2018. p. 60-65.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Improving Barycentric Embeddings of Topics Spaces. / Kiesel, Dora; Riehmann, Patrick; Fan, Fan et al.
IEEE VIS 2018. IEEE, 2018.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Unit Segmentation of Argumentative Texts. / Ajjour, Yamen; Chen, Wei Fan; Kiesel, Johannes et al.
Proceedings of the 4th Workshop on Argument Mining. ed. / Ivan Habernal; Iryna Gurevych; Kevin Ashley; Clair Cardie; Nancy Green; Diane Litman; Georgios Petasis; Chris Reed; Noam Slonim; Vern Walker. Association for Computational Linguistics (ACL), 2017. p. 118-128.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Building an Argument Search Engine for the Web. / Wachsmuth, Henning; Potthast, Martin; Al-Khatib, Khalid et al.
Proceedings of the 4th Workshop on Argument Mining. ed. / Ivan Habernal; Iryna Gurevych; Kevin Ashley; Claire Cardie; Nancy Green; Diane Litman; Georgios Petasis; Chris Reed; Noam Slonim; Vern Walker. Copenhagen : Association for Computational Linguistics (ACL), 2017. p. 49-59.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
“PageRank” for Argument Relevance. / Wachsmuth, Henning; Stein, Benno; Ajjour, Yamen.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Long Papers. ed. / Phil Blunsom; Alexander Koller; Mirella Lapata. Association for Computational Linguistics (ACL), 2017. p. 1117-1127.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
