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*SEM 2020 — accepted papers

*SEM 2020 is the 2020 edition of the Joint Conference on Lexical and Computational Semantics (*SEM), held in Barcelona, Spain (Online), December 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 19 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

 19papers in the proceedings 3works in our library 117citations of these works Barcelona, Spain (Online)where it was held December 2020when

All accepted papers (19)

The most cited first; 3 with our summary link to their page here, the others to the original.

  1. Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State TrackingJianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu et al.our summary
  2. Fine-tuning BERT with Focus Words for Explanation RegenerationIsaiah Onando Mulang', Jennifer D'Souza, Sören Auer
  3. Knowledge Graphs meet Moral ValuesIoana Hulpuș, Jonathan Kobbe, Heiner Stuckenschmidt et al.
  4. Natural Language Inference with Mixed EffectsWilliam Gantt, Benjamin Kane, Aaron Steven Whiteour summary
  5. Reading Comprehension as Natural Language Inference:A Semantic AnalysisAnshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar et al.
  6. Topology of Word Embeddings: Singularities Reflect PolysemyAlexander Jakubowski, Milica Gašić, Marcus Zibrowius

 Papers with our summary in our library (3)

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

 Top topics

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

Sentiment & emotion (1)Dialogue systems (1)Reasoning (1)English (1)

 Fields

Arts and Humanities (3)Computer Science (3)Psychology (1)

 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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