Chatgpt evaluation on sentence level relations: A focus on temporal, causal, and discourse relations
This paper aims to quantitatively evaluate the performance of ChatGPT, an interactive large
language model, on inter-sentential relations such as temporal relations, causal relations …
language model, on inter-sentential relations such as temporal relations, causal relations …
A survey of implicit discourse relation recognition
A discourse containing one or more sentences describes daily issues and events for people
to communicate their thoughts and opinions. As sentences are normally consist of multiple …
to communicate their thoughts and opinions. As sentences are normally consist of multiple …
Connective prediction for implicit discourse relation recognition via knowledge distillation
H Wu, H Zhou, M Lan, Y Wu… - Proceedings of the 61st …, 2023 - aclanthology.org
Implicit discourse relation recognition (IDRR) remains a challenging task in discourse
analysis due to the absence of connectives. Most existing methods utilize one-hot labels as …
analysis due to the absence of connectives. Most existing methods utilize one-hot labels as …
ConnPrompt: Connective-cloze prompt learning for implicit discourse relation recognition
Abstract Implicit Discourse Relation Recognition (IDRR) is to detect and classify relation
sense between two text segments without an explicit connective. Vanilla pre-train and fine …
sense between two text segments without an explicit connective. Vanilla pre-train and fine …
A label dependence-aware sequence generation model for multi-level implicit discourse relation recognition
Implicit discourse relation recognition (IDRR) is a challenging but crucial task in discourse
analysis. Most existing methods train multiple models to predict multi-level labels …
analysis. Most existing methods train multiple models to predict multi-level labels …
Discourse-level representations can improve prediction of degree of anxiety
Anxiety disorders are the most common of mental illnesses, but relatively little is known
about how to detect them from language. The primary clinical manifestation of anxiety is …
about how to detect them from language. The primary clinical manifestation of anxiety is …
Discoprompt: Path prediction prompt tuning for implicit discourse relation recognition
Implicit Discourse Relation Recognition (IDRR) is a sophisticated and challenging task to
recognize the discourse relations between the arguments with the absence of discourse …
recognize the discourse relations between the arguments with the absence of discourse …
ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities
Commonsense knowledge acquisition and reasoning have long been a core artificial
intelligence problem. However, in the past, there has been a lack of scalable methods to …
intelligence problem. However, in the past, there has been a lack of scalable methods to …
Facilitating contrastive learning of discourse relational senses by exploiting the hierarchy of sense relations
Implicit discourse relation recognition is a challenging task that involves identifying the
sense or senses that hold between two adjacent spans of text, in the absence of an explicit …
sense or senses that hold between two adjacent spans of text, in the absence of an explicit …
Infusing hierarchical guidance into prompt tuning: A parameter-efficient framework for multi-level implicit discourse relation recognition
H Zhao, R He, M **ao, J Xu - arxiv preprint arxiv:2402.15080, 2024 - arxiv.org
Multi-level implicit discourse relation recognition (MIDRR) aims at identifying hierarchical
discourse relations among arguments. Previous methods achieve the promotion through …
discourse relations among arguments. Previous methods achieve the promotion through …