Shahbaz Syed

According to our database1, Shahbaz Syed authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • 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
Evaluating Generative Ad Hoc Information Retrieval.
CoRR, 2023

Frame-oriented Summarization of Argumentative Discussions.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 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

Modeling Appropriate Language in Argumentation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
SUMMARY WORKBENCH: Unifying Application and Evaluation of Text Summarization Models.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Overview of Touché 2022: Argument Retrieval - Extended Abstract.
Proceedings of the Advances in Information Retrieval, 2022

Overview of Touché 2022: Argument Retrieval.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.
CoRR, 2021

Webis at TREC 2021: Deep Learning, Health Misinformation, and Podcasts Tracks.
Proceedings of the Thirtieth Text REtrieval Conference, 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

Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.
Proceedings of the 8th Workshop on Argument Mining, 2021

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

Counter-Argument Generation by Attacking Weak Premises.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Abstractive Snippet Generation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Task Proposal: Abstractive Snippet Generation for Web Pages.
Proceedings of the 13th International Conference on Natural Language Generation, 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

Target Inference in Argument Conclusion Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Towards Summarization for Social Media - Results of the TL;DR Challenge.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

2018
Task Proposal: The TL;DR Challenge.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

Cross-Reading News.
Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018

Retrieval of the Best Counterargument without Prior Topic Knowledge.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
TL;DR: Mining Reddit to Learn Automatic Summarization.
Proceedings of the Workshop on New Frontiers in Summarization, 2017


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