Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Esin Durmus"'
Publikováno v:
ACL/IJCNLP (Findings)
Autor:
Thibault Sellam, Vikas Raunak, Cristina Garbacea, Simon Mille, Tatsunori Hashimoto, Miruna-Adriana Clinciu, Ankur P. Parikh, Angelina McMillan-Major, Samira Shaikh, Kaustubh Dhole, Pawan Sasanka Ammanamanchi, Anuoluwapo Aremu, Laura Perez-Beltrachini, Marco Antonio Sobrevilla Cabezudo, Juan Diego Rodriguez, Sashank Santhanam, Bodhisattwa Prasad Majumder, Dhruv Kumar, Esin Durmus, Dipanjan Das, Wei Xu, Wanyu Du, Vitaly Nikolaev, Faisal Ladhak, Moin Nadeem, Chris Chinenye Emezue, Varun Gangal, Diyi Yang, Yangfeng Ji, João Sedoc, Aman Madaan, Shailza Jolly, Saad Mahamood, Karmanya Aggarwal, Emiel van Miltenburg, Antoine Bosselut, Salomey Osei, Jiawei Zhou, Yufang Hou, Harsh Jhamtani, Niranjan Ramesh Rao, Anastasia Shimorina, Shashi Narayan, Akhila Yerukola, Nishant Subramani, Sebastian Gehrmann, Hendrik Strobelt, Khyathi Raghavi Chandu, Yacine Jernite, Tosin P. Adewumi, Mihir Kale, Khyati Mahajan, Andre Niyongabo Rubungo, Pedro Henrique Martins, Ondřej Dušek, Mounica Maddela
Publikováno v:
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩
Tilburg University-PURE
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), 96-120
STARTPAGE=96;ENDPAGE=120;TITLE=Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩
Tilburg University-PURE
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), 96-120
STARTPAGE=96;ENDPAGE=120;TITLE=Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)
International audience; We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of automated metrics, datasets, and human evaluation
Despite recent progress in abstractive summarization, systems still suffer from faithfulness errors. While prior work has proposed models that improve faithfulness, it is unclear whether the improvement comes from an increased level of extractiveness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d36241d716ec4325229a668343e47fd
Publikováno v:
EMNLP (1)
Online debate forums provide users a platform to express their opinions on controversial topics while being exposed to opinions from diverse set of viewpoints. Existing work in Natural Language Processing (NLP) has shown that linguistic features extr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f36737645b9b3399f63f016cdf13a2a5
http://arxiv.org/abs/2010.03538
http://arxiv.org/abs/2010.03538
Publikováno v:
ACL
Neural abstractive summarization models are prone to generate content inconsistent with the source document, i.e. unfaithful. Existing automatic metrics do not capture such mistakes effectively. We tackle the problem of evaluating faithfulness of a g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be0370ce7d65e62f88a15ac9e28a640a
http://arxiv.org/abs/2005.03754
http://arxiv.org/abs/2005.03754
Publikováno v:
EMNLP/IJCNLP (1)
Research in the social sciences and psychology has shown that the persuasiveness of an argument depends not only the language employed, but also on attributes of the source/communicator, the audience, and the appropriateness and strength of the argum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7c650a98d8e348a04227651df2b9510
http://arxiv.org/abs/2004.03034
http://arxiv.org/abs/2004.03034
Publikováno v:
EMNLP (Findings)
We introduce WikiLingua, a large-scale, multilingual dataset for the evaluation of crosslingual abstractive summarization systems. We extract article and summary pairs in 18 languages from WikiHow, a high quality, collaborative resource of how-to gui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1539d04f96834678e3012984318c6b3
Autor:
Esin Durmus, Claire Cardie
Publikováno v:
ACL (1)
Existing argumentation datasets have succeeded in allowing researchers to develop computational methods for analyzing the content, structure and linguistic features of argumentative text. They have been much less successful in fostering studies of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ab4ae2e3aac398e38b3209fca156e56
http://arxiv.org/abs/1906.11310
http://arxiv.org/abs/1906.11310
Autor:
Claire Cardie, Esin Durmus
Publikováno v:
WWW
Debate is a process that gives individuals the opportunity to express, and to be exposed to, diverging viewpoints on controversial issues; and the existence of online debating platforms makes it easier for individuals to participate in debates and ob
Publikováno v:
ACL (1)
Systems for automatic argument generation and debate require the ability to (1) determine the stance of any claims employed in the argument and (2) assess the specificity of each claim relative to the argument context. Existing work on understanding