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Documents authored by Gurevych, Iryna

Document
DOI: 10.4230/DagRep.14.1.130
Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052)

Authors: Iryna Gurevych, Anna Rogers, Nihar B. Shah, and Jingyan Wang

Published in: Dagstuhl Reports, Volume 14, Issue 1 (2024)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 24052 "Reviewer No. 2: Old and New Problems in Peer Review". This seminar provided a point of reflection on decades of personal experience of the participants in organizing different kinds of peer-reviewed venues in Natural Language Processing (NLP) and beyond, enabling an in-depth discussion of what has been tried, what seems to work and what doesn't. The outcomes of the seminar include a white paper co-authored by most of the seminar participants, which outlines the research program, methodological and empirical challenges for NLP for peer review. The discussions at the seminar also resulted in several concrete policy proposals and initiatives, some of which are already in motion at the Association for Computational Linguistics and elsewhere.
Cite as

Iryna Gurevych, Anna Rogers, Nihar B. Shah, and Jingyan Wang. Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052). In Dagstuhl Reports, Volume 14, Issue 1, pp. 130-161, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{gurevych_et_al:DagRep.14.1.130,
  author =	{Gurevych, Iryna and Rogers, Anna and Shah, Nihar B. and Wang, Jingyan},
  title =	{{Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052)}},
  pages =	{130--161},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{1},
  editor =	{Gurevych, Iryna and Rogers, Anna and Shah, Nihar B. and Wang, Jingyan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.1.130},
  URN =		{urn:nbn:de:0030-drops-204941},
  doi =		{10.4230/DagRep.14.1.130},
  annote =	{Keywords: Peer Review, Natural Language Processing}
}
Document
DOI: 10.4230/DagRep.12.10.175
Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432)

Authors: Khalid Al-Khatib, Anita de Waard, Dayne Freitag, Iryna Gurevych, Yufang Hou, and Harrisen Scells

Published in: Dagstuhl Reports, Volume 12, Issue 10 (2023)

Abstract
This report summarizes the outcomes of the Dagstuhl Seminar 22432: "Towards a Unified Model of Scholarly Argumentation." The purpose of this Seminar was to enable robust advances in argumentation technology by collecting and collaborating on use cases in scholarly and biomedical discourse and working on a foundational model for argumentation in science and healthcare. Most importantly, the seminar served to develop a multidisciplinary, international research community devoted to building and maintaining principles, tools, and models for studying scholarly argumentation. Over the course of the seminar week, the seminar laid the foundation of a shared formalism, illuminated important scholarly use cases for argumentation modeling, and identified directions for future exploration.
Cite as

Khalid Al-Khatib, Anita de Waard, Dayne Freitag, Iryna Gurevych, Yufang Hou, and Harrisen Scells. Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432). In Dagstuhl Reports, Volume 12, Issue 10, pp. 175-206, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{alkhatib_et_al:DagRep.12.10.175,
  author =	{Al-Khatib, Khalid and de Waard, Anita and Freitag, Dayne and Gurevych, Iryna and Hou, Yufang and Scells, Harrisen},
  title =	{{Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432)}},
  pages =	{175--206},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{10},
  editor =	{Al-Khatib, Khalid and de Waard, Anita and Gurevych, Iryna and Hou, Yufang and Scells, Harrisen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.10.175},
  URN =		{urn:nbn:de:0030-drops-178264},
  doi =		{10.4230/DagRep.12.10.175},
  annote =	{Keywords: Argument mining, Argument modeling, Scholarly discourse}
}
Document
DOI: 10.4230/DagRep.12.6.14
Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232)

Authors: Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, and Betty van Aken

Published in: Dagstuhl Reports, Volume 12, Issue 6 (2023)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 22232 "Efficient and Equitable Natural Language Processing in the Age of Deep Learning". Since 2012, the field of artificial intelligence (AI) has reported remarkable progress on a broad range of capabilities including object recognition, game playing, speech recognition, and machine translation. Much of this progress has been achieved by increasingly large and computationally intensive deep learning models: training costs for state-of-the-art deep learning models have increased 300,000 times between 2012 and 2018 [1]. Perhaps the epitome of this trend is the subfield of natural language processing (NLP) that over the past three years has experienced even sharper growth in model size and corresponding computational requirements in the word embedding approaches (e.g. ELMo, BERT, openGPT-2, Megatron-LM, T5, and GPT-3, one of the largest models ever trained with 175B dense parameters) that are now the basic building blocks of nearly all NLP models. Recent studies indicate that this trend is both environmentally unfriendly and prohibitively expensive, raising barriers to participation in NLP research [2,3]. The goal of this seminar was to mitigate these concerns and promote equity of access in NLP. References. [1] D. Amodei and D. Hernandez. 2018. AI and Compute. https://openai.com/blog/ai-and-compute [2] R. Schwartz, D. Dodge, N. A. Smith, and O. Etzioni. 2020. Green AI. Communications of the ACM (CACM) [3] E. Strubell, A. Ganesh, and A. McCallum. 2019. Energy and Policy Considerations for Deep Learning in NLP. In Proc. of ACL.
Cite as

Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, and Betty van Aken. Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232). In Dagstuhl Reports, Volume 12, Issue 6, pp. 14-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{dodge_et_al:DagRep.12.6.14,
  author =	{Dodge, Jesse and Gurevych, Iryna and Schwartz, Roy and Strubell, Emma and van Aken, Betty},
  title =	{{Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232)}},
  pages =	{14--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{6},
  editor =	{Dodge, Jesse and Gurevych, Iryna and Schwartz, Roy and Strubell, Emma and van Aken, Betty},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.6.14},
  URN =		{urn:nbn:de:0030-drops-174549},
  doi =		{10.4230/DagRep.12.6.14},
  annote =	{Keywords: deep learning, efficiency, equity, natural language processing (nlp)}
}
Document
DOI: 10.4230/DagRep.9.4.124
Multi-Document Information Consolidation (Dagstuhl Seminar 19182)

Authors: Ido Daga, Iryna Gurevych, Dan Roth, and Amanda Stent

Published in: Dagstuhl Reports, Volume 9, Issue 4 (2019)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19182 "Multi-Document Information Consolidation". At this 5-day Dagstuhl seminar, an interdisciplinary collection of leading researchers discussed and develop research ideas to address multi-documents in machine learning and NLP systems. In particular, the seminar addressed four major topics: 1) how to represent information in multi-document repositories; 2) how to support inference over multi-document repositories; 3) how to summarize and visualize multi-document repositories for decision support; and 4) how to do information validation on multi-document repositories. General talks as well as topic-specific talks were given to stimulate the discussion between the participants, which lead to various new research ideas.
Cite as

Ido Daga, Iryna Gurevych, Dan Roth, and Amanda Stent. Multi-Document Information Consolidation (Dagstuhl Seminar 19182). In Dagstuhl Reports, Volume 9, Issue 4, pp. 124-139, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{daga_et_al:DagRep.9.4.124,
  author =	{Daga, Ido and Gurevych, Iryna and Roth, Dan and Stent, Amanda},
  title =	{{Multi-Document Information Consolidation (Dagstuhl Seminar 19182)}},
  pages =	{124--139},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{4},
  editor =	{Daga, Ido and Gurevych, Iryna and Roth, Dan and Stent, Amanda},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.4.124},
  URN =		{urn:nbn:de:0030-drops-113572},
  doi =		{10.4230/DagRep.9.4.124},
  annote =	{Keywords: Information Consolidation, Multi-Document, NLP}
}
Document
DOI: 10.4230/DagRep.5.12.18
Debating Technologies (Dagstuhl Seminar 15512)

Authors: Iryna Gurevych, Eduard H. Hovy, Noam Slonim, and Benno Stein

Published in: Dagstuhl Reports, Volume 5, Issue 12 (2016)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 15512 "Debating Technologies". The seminar brought together leading researchers from computational linguistics, information retrieval, semantic web, and database communities to discuss the possibilities, implications, and necessary actions for the establishment of a new interdisciplinary research community around debating technologies. 31 participants from 22 different institutions took part in sixteen sessions that included 34 talks, 13 themed discussions, three system demonstrations, and a hands-on “unshared” task.
Cite as

Iryna Gurevych, Eduard H. Hovy, Noam Slonim, and Benno Stein. Debating Technologies (Dagstuhl Seminar 15512). In Dagstuhl Reports, Volume 5, Issue 12, pp. 18-46, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{gurevych_et_al:DagRep.5.12.18,
  author =	{Gurevych, Iryna and Hovy, Eduard H. and Slonim, Noam and Stein, Benno},
  title =	{{Debating Technologies (Dagstuhl Seminar 15512)}},
  pages =	{18--46},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{5},
  number =	{12},
  editor =	{Gurevych, Iryna and Hovy, Eduard H. and Slonim, Noam and Stein, Benno},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.5.12.18},
  URN =		{urn:nbn:de:0030-drops-58035},
  doi =		{10.4230/DagRep.5.12.18},
  annote =	{Keywords: Computational Argumentation, Discourse and Dialogue, Debating Systems, Human-machine Interaction, Interactive Systems}
}
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