Search Results for author:
Found 9 papers, 3 papers with code
Weakly supervised discourse segmentation for multiparty oral conversations
Discourse segmentation, the first step of discourse analysis, has been shown to improve results for text summarization, translation and other NLP tasks.
FREDSum: A Dialogue Summarization Corpus for French Political Debates
In this paper, we present a dataset of French political debates for the purpose of enhancing resources for multi-lingual dialogue summarization.
The Claire French Dialogue Dataset
We present the Claire French Dialogue Dataset (CFDD), a resource created by members of LINAGORA Labs in the context of the OpenLLM France initiative.
Limits for Learning with Language Models
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.
Abstractive Meeting Summarization: A Survey
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 medical consultations to customer service calls.
Abstractive Dialogue Summarization
Abstractive Text Summarization
+2
Interpretive Blindness
We model here an epistemic bias we call \textit{interpretive blindness} (IB).
Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus
This paper describes the STAC resource, a corpus of multi-party chats annotated for discourse structure in the style of SDRT (Asher and Lascarides, 2003; Lascarides and Asher, 2009).
