Elamur Research⌕
☰
home / venues / *SEM / 2023

*SEM 2023 — accepted papers

*SEM 2023 is the 2023 edition of the Joint Conference on Lexical and Computational Semantics (*SEM), held in Toronto, Canada, July 2023 (publisher: Association for Computational Linguistics). The ACL Anthology lists 45 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. Language models are not naysayers: an analysis of language models on negation benchmarks ↗Thinh Hung Truong, Timothy Baldwin, Karin Verspoor et al.32 citations
  2. Limits for learning with language models ↗Nicholas Asher, Swarnadeep Bhar, Akshay Chaturvedi et al.22 citations
  3. Generative Data Augmentation for Aspect Sentiment Quad Prediction ↗An Wang, Junfeng Jiang, Youmi Ma et al.11 citations
  4. When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus et al.8 citations · our summary
  5. Are Language Models Sensitive to Semantic Attraction? A Study on Surprisal ↗Yan Cong, Emmanuele Chersoni, Yu-yin Hsu et al.7 citations

All accepted papers (45)

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

  1. Language models are not naysayers: an analysis of language models on negation benchmarks ↗Thinh Hung Truong, Timothy Baldwin, Karin Verspoor et al.32 citations
  2. Limits for learning with language models ↗Nicholas Asher, Swarnadeep Bhar, Akshay Chaturvedi et al.22 citations
  3. Generative Data Augmentation for Aspect Sentiment Quad Prediction ↗An Wang, Junfeng Jiang, Youmi Ma et al.11 citations
  4. When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus et al.8 citations · our summary
  5. Are Language Models Sensitive to Semantic Attraction? A Study on Surprisal ↗Yan Cong, Emmanuele Chersoni, Yu-yin Hsu et al.7 citations
  6. How Are Idioms Processed Inside Transformer Language Models?Ye Tian, Isobel James, Hye Son3 citations · our summary
  7. Not All Counterhate Tweets Elicit the Same Replies: A Fine-Grained Analysis ↗Abdullah Albanyan, Ahmed Hassan, Eduardo Blanco3 citations
  8. Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models ↗Dominic Petrak, Nafise Sadat Moosavi, Iryna Gurevych2 citations
  9. Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? ↗Xiang Zhou, Aditya Gupta, Shyam Upadhyay et al.2 citations
  10. Evaluating Factual Consistency of Texts with Semantic Role Labeling ↗Jing Fan, Dennis Aumiller, Michael Gertz2 citations
  11. JSEEGraph: Joint Structured Event Extraction as Graph Parsing ↗Huiling You, Lilja Vrelid, Samia Touileb2 citations
  12. Scalable Performance Analysis for Vision-Language Models ↗Santiago Castro, Oana Ignat, Rada Mihalcea2 citations
  13. Adverbs, Surprisingly ↗Dmitry Nikolaev, Collin Baker, Miriam R. L. Petruck et al.1 citation

See all 45 papers in SEM 2023 — accepted papers →

 Papers with our summary in our library (2)

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.

Language models & pretraining (1)Reasoning (1)Idioms & multiword expressions (1)

 Fields

Arts and Humanities (2)Computer Science (2)Neuroscience (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.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/starsem/2023/