Yan Cong
Yan Cong has 2 papers in our library, in 2021–2022, most of them on Language models & pretraining, Discourse analysis, Implicature; often with Allyson Ettinger.
OpenAlex · ORCID · h-index 8 · 27 works · 204 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 21 times in our library · ⭐ Paper Stars ranking: #7979
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksDiscourse analysis · 1 workImplicature · 1 work
Works by year
2020s
Papers
- Pragmatic competence of pre-trained language models through the lens of discourse connectives (2021 · 42 citations)
How much pragmatic knowledge do masked language models acquire from pre-training alone? The authors probe this through discourse connectives, words like "but" or "so" that mark how two events relate and can carry implied meanings. - Pre-trained Language Models' Interpretation of Evaluativity Implicature: Evidence from Gradable Adjectives Usage in Context (2022 · 2 citations)
This paper asks whether pre-trained language models grasp evaluativity (EVAL), a subtle pragmatic inference.
Co-authors here
Venues
- Conference on Computational Natural Language Learning (CoNLL): CoNLL 2021
- Workshop on Understanding Implicit and Underspecified Language: Workshop on Understanding Implicit and Underspecified Language 2022
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/yan-cong/