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Shahbaz Syed
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2020 – today
- 2024
- [b1]Shahbaz Syed:
Summarizing User-generated Discourse. Leipzig University, Germany, 2024 - [c27]Shahbaz Syed, Khalid Al Khatib, Martin Potthast:
TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization. EACL (Demonstrations) 2024: 195-206 - [c26]Timon Ziegenbein, Shahbaz Syed, Martin Potthast, Henning Wachsmuth:
Objective Argument Summarization in Search. RATIO 2024: 335-351 - [c25]Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, Martin Potthast:
Evaluating Generative Ad Hoc Information Retrieval. SIGIR 2024: 1916-1929 - [i11]Shahbaz Syed, Khalid Al Khatib, Martin Potthast:
TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization. CoRR abs/2402.06913 (2024) - 2023
- [c24]Timon Ziegenbein, Shahbaz Syed, Felix Lange, Martin Potthast, Henning Wachsmuth:
Modeling Appropriate Language in Argumentation. ACL (1) 2023: 4344-4363 - [c23]Shahbaz Syed, Dominik Schwabe, Khalid Al Khatib, Martin Potthast:
Indicative Summarization of Long Discussions. EMNLP 2023: 2752-2788 - [c22]Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al Khatib, Martin Potthast:
Citance-Contextualized Summarization of Scientific Papers. EMNLP (Findings) 2023: 8551-8568 - [c21]Shahbaz Syed, Timon Ziegenbein, Philipp Heinisch, Henning Wachsmuth, Martin Potthast:
Frame-oriented Summarization of Argumentative Discussions. SIGDIAL 2023: 114-129 - [c20]Khalid Al Khatib, Michael Völske, Anh Le, Shahbaz Syed, Martin Potthast, Benno Stein:
A New Dataset for Causality Identification in Argumentative Texts. SIGDIAL 2023: 349-354 - [d7]Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al Khatib, Martin Potthast:
Webis-Context-SciSumm-2023. Zenodo, 2023 - [i10]Timon Ziegenbein, Shahbaz Syed, Felix Lange, Martin Potthast, Henning Wachsmuth:
Modeling Appropriate Language in Argumentation. CoRR abs/2305.14935 (2023) - [i9]Shahbaz Syed, Dominik Schwabe, Khalid Al Khatib, Martin Potthast:
Indicative Summarization of Long Discussions. CoRR abs/2311.01882 (2023) - [i8]Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al Khatib, Martin Potthast:
Citance-Contextualized Summarization of Scientific Papers. CoRR abs/2311.02408 (2023) - [i7]Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, Martin Potthast:
Evaluating Generative Ad Hoc Information Retrieval. CoRR abs/2311.04694 (2023) - 2022
- [c19]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval. CLEF 2022: 311-336 - [c18]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval. CLEF (Working Notes) 2022: 2867-2903 - [c17]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval - Extended Abstract. ECIR (2) 2022: 339-346 - [c16]Shahbaz Syed, Dominik Schwabe, Martin Potthast:
SUMMARY WORKBENCH: Unifying Application and Evaluation of Text Summarization Models. EMNLP (Demos) 2022: 232-241 - [i6]Shahbaz Syed, Dominik Schwabe, Martin Potthast:
Summary Workbench: Unifying Application and Evaluation of Text Summarization Models. CoRR abs/2210.09587 (2022) - 2021
- [c15]Milad Alshomary, Shahbaz Syed, Arkajit Dhar, Martin Potthast, Henning Wachsmuth:
Counter-Argument Generation by Attacking Weak Premises. ACL/IJCNLP (Findings) 2021: 1816-1827 - [c14]Shahbaz Syed, Khalid Al Khatib, Milad Alshomary, Henning Wachsmuth, Martin Potthast:
Generating Informative Conclusions for Argumentative Texts. ACL/IJCNLP (Findings) 2021: 3482-3493 - [c13]Milad Alshomary, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, Henning Wachsmuth:
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. ArgMining@EMNLP 2021: 184-189 - [c12]Shahbaz Syed, Tariq Yousef, Khalid Al Khatib, Stefan Jänicke, Martin Potthast:
Summary Explorer: Visualizing the State of the Art in Text Summarization. EMNLP (Demos) 2021: 185-194 - [c11]Alexander Bondarenko, Maik Fröbe, Sebastian Günther, Matthias Hagen, Marcel Gohsen, Johannes Kiesel, Michael Völske, Benno Stein, Jakob Schwerter, Shahbaz Syed, Martin Potthast:
Webis at TREC 2021: Deep Learning, Health Misinformation, and Podcasts Tracks. TREC 2021 - [d6]Shahbaz Syed, Timon Gurcke, Alexander Bondarenko, Maik Fröbe, Matthias Hagen, Benno Stein, Henning Wachsmuth, Martin Potthast:
Touché22-Argument-Retrieval-for-Controversial-Questions. Version 1. Zenodo, 2021 [all versions] - [d5]Shahbaz Syed, Timon Gurcke, Alexander Bondarenko, Maik Fröbe, Matthias Hagen, Benno Stein, Henning Wachsmuth, Martin Potthast:
Touché22-Argument-Retrieval-for-Controversial-Questions. Version 2. Zenodo, 2021 [all versions] - [d4]Shahbaz Syed, Khalid Al Khatib, Milad Alshomary, Henning Wachsmuth, Martin Potthast:
Webis-ConcluGen-2021. Zenodo, 2021 - [i5]Milad Alshomary, Shahbaz Syed, Martin Potthast, Henning Wachsmuth:
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. CoRR abs/2105.11752 (2021) - [i4]Shahbaz Syed, Khalid Al Khatib, Milad Alshomary, Henning Wachsmuth, Martin Potthast:
Generating Informative Conclusions for Argumentative Texts. CoRR abs/2106.01064 (2021) - [i3]Shahbaz Syed, Tariq Yousef, Khalid Al Khatib, Stefan Jänicke, Martin Potthast:
Summary Explorer: Visualizing the State of the Art in Text Summarization. CoRR abs/2108.01879 (2021) - [i2]Milad Alshomary, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, Henning Wachsmuth:
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. CoRR abs/2109.15086 (2021) - 2020
- [c10]Milad Alshomary, Shahbaz Syed, Martin Potthast, Henning Wachsmuth:
Target Inference in Argument Conclusion Generation. ACL 2020: 4334-4345 - [c9]Khalid Al Khatib, Michael Völske, Shahbaz Syed, Nikolay Kolyada, Benno Stein:
Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness. ACL 2020: 7067-7072 - [c8]Shahbaz Syed, Roxanne El Baff, Johannes Kiesel, Khalid Al Khatib, Benno Stein, Martin Potthast:
News Editorials: Towards Summarizing Long Argumentative Texts. COLING 2020: 5384-5396 - [c7]Shahbaz Syed, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, Martin Potthast:
Task Proposal: Abstractive Snippet Generation for Web Pages. INLG 2020: 237-241 - [c6]Wei-Fan Chen, Shahbaz Syed, Benno Stein, Matthias Hagen, Martin Potthast:
Abstractive Snippet Generation. WWW 2020: 1309-1319 - [d3]Wei-Fan Chen, Shahbaz Syed, Martin Potthast, Matthias Hagen, Benno Stein:
Webis Abstractive Snippet Corpus 2020. Zenodo, 2020 - [d2]Nikolay Kolyada, Khalid Al Khatib, Michael Völske, Shahbaz Syed, Benno Stein:
Webis ChangeMyView Corpus 2020 (Webis-CMV-20). Zenodo, 2020 - [i1]Wei-Fan Chen, Shahbaz Syed, Benno Stein, Matthias Hagen, Martin Potthast:
Abstractive Snippet Generation. CoRR abs/2002.10782 (2020)
2010 – 2019
- 2019
- [c5]Shahbaz Syed, Michael Völske, Nedim Lipka, Benno Stein, Hinrich Schütze, Martin Potthast:
Towards Summarization for Social Media - Results of the TL;DR Challenge. INLG 2019: 523-528 - 2018
- [c4]Henning Wachsmuth, Shahbaz Syed, Benno Stein:
Retrieval of the Best Counterargument without Prior Topic Knowledge. ACL (1) 2018: 241-251 - [c3]Shahbaz Syed, Tim Gollub, Marcel Gohsen, Nikolay Kolyada, Benno Stein, Matthias Hagen:
Cross-Reading News. NewsIR@ECIR 2018: 24-26 - [c2]Shahbaz Syed, Michael Völske, Martin Potthast, Nedim Lipka, Benno Stein, Hinrich Schütze:
Task Proposal: The TL;DR Challenge. INLG 2018: 318-321 - [d1]Henning Wachsmuth, Shahbaz Syed, Benno Stein:
ArguAna Counterargs. Zenodo, 2018 - 2017
- [c1]Michael Völske, Martin Potthast, Shahbaz Syed, Benno Stein:
TL;DR: Mining Reddit to Learn Automatic Summarization. NFiS@EMNLP 2017: 59-63
Coauthor Index
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last updated on 2025-01-07 00:58 CET by the dblp team
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