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*SEM 2021 — accepted papers

*SEM 2021 is the 2021 edition of the Joint Conference on Lexical and Computational Semantics (*SEM), held in Online, August 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 30 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. Inducing Language-Agnostic Multilingual Representations ↗Wei Zhao, Steffen Eger, Johannes Bjerva et al.54 citations
  2. Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ↗Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni et al.15 citations
  3. Realistic Evaluation Principles for Cross-document Coreference ResolutionArie Cattan, Alon Eirew, Gabriel Stanovsky et al.12 citations · our summary
  4. Semantic shift in social networks ↗Bill Noble, Asad Sayeed, Raquel Fernández et al.11 citations
  5. Can Transformer Language Models Predict Psychometric Properties? ↗Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov et al.7 citations
  6. Spurious Correlations in Cross-Topic Argument Mining ↗Terne Sasha Thorn Jakobsen, Maria Barrett, Anders Søgaard6 citations

All accepted papers (30)

The most cited first; 2 with our summary link to their page here, the others to the original.

  1. Inducing Language-Agnostic Multilingual Representations ↗Wei Zhao, Steffen Eger, Johannes Bjerva et al.54 citations
  2. Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ↗Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni et al.15 citations
  3. Realistic Evaluation Principles for Cross-document Coreference ResolutionArie Cattan, Alon Eirew, Gabriel Stanovsky et al.12 citations · our summary
  4. Semantic shift in social networks ↗Bill Noble, Asad Sayeed, Raquel Fernández et al.11 citations
  5. Can Transformer Language Models Predict Psychometric Properties? ↗Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov et al.7 citations
  6. Spurious Correlations in Cross-Topic Argument Mining ↗Terne Sasha Thorn Jakobsen, Maria Barrett, Anders Søgaard6 citations
  7. A Study on Using Semantic Word Associations to Predict the Success of a Novel ↗Syeda Jannatus Saba, Biddut Sarker Bijoy, Henry Gorelick et al.5 citations
  8. InFillmore: Frame-Guided Language Generation with Bidirectional Context ↗Jiefu Ou, Nathaniel Weir, Anton Belyy et al.4 citations
  9. Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ↗Dominik Schlechtweg, Enrique Castaneda, Jonas Kuhn et al.3 citations
  10. Neural Metaphor Detection with Visibility Embeddings ↗Gitit Kehat, James Pustejovsky3 citations
  11. BiQuAD: Towards QA based on deeper text understanding ↗Frank Grimm, Philipp Cimiano1 citation
  12. Denoising Word Embeddings by Averaging in a Shared Space ↗Avi Caciularu, Ido Dagan, Jacob Goldberger1 citation
  13. Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain AnalysisSagar Indurkhya, Beracah Yankama, Robert C. Berwick1 citation · our summary
  14. Incorporating EDS Graph for AMR Parsing ↗Ziyi Shou, Fangzhen Lin1 citation

See all 30 papers in SEM 2021 — accepted papers →

 Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

  1. Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain AnalysisSagar Indurkhya, Beracah Yankama, Robert C. Berwick2021 · 2 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Evaluation & benchmarks (2)Coreference resolution (1)Dependency parsing (1)Universal Dependencies (1)Semantic role labeling (1)English (1)

 Fields

Arts and Humanities (2)Computer Science (2)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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