2 citations · 2 across the 4 of their papers we have counts for
4 papers
Llamipa: An Incremental Discourse Parser
Kate Thompson, Akshay Chaturvedi, Julie Hunter +1
This paper provides the first discourse parsing experiments with a large language model(LLM) finetuned on corpora annotated in the style of SDRT (Segmented Discourse Representation…
Limits for Learning with Language Models
Nicholas Asher, Swarnadeep Bhar, Akshay Chaturvedi +2
With the advent of large language models (LLMs), the trend in NLP has been to train LLMs on vast amounts of data to solve diverse language understanding and generation tasks. The l…
Abstractive Meeting Summarization: A Survey
Virgile Rennard, Guokan Shang, Julie Hunter +1
A system that could reliably identify and sum up the most important points of a conversation would be valuable in a wide variety of real-world contexts, from business meetings to m…
Interpretive Blindness
Nicholas Asher, Julie Hunter
We model here an epistemic bias we call \textit{interpretive blindness} (IB). IB is a special problem for learning from testimony, in which one acquires information only from text…