3 papers
cs.CL2024
Are LLMs good pragmatic speakers?
Mingyue Jian, N. Siddharth
Large language models (LLMs) are trained on data assumed to include natural language pragmatics, but do they actually behave like pragmatic speakers? We attempt to answer this ques…
cs.CL2024
Multi-Label Classification for Implicit Discourse Relation Recognition
Wanqiu Long, N. Siddharth, Bonnie Webber
Discourse relations play a pivotal role in establishing coherence within textual content, uniting sentences and clauses into a cohesive narrative. The Penn Discourse Treebank (PDTB…
cs.CL2024
Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less
Mattia Opper, N. Siddharth
This paper presents two simple improvements to the Self-Structuring AutoEncoder (Self-StrAE). Firstly, we show that including reconstruction to the vocabulary as an auxiliary objec…