Text Classification into Abstract Classes Based on Discourse Structure
Code (0)
등록된 구현이 없습니다.
Tasks
ClassificationDocument ClassificationGeneral Classificationtext-classificationText ClassificationSimilar Papers 제목 키워드 기반
Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set
Discourse understanding is essential for many NLP tasks, yet most existing work remains constrained by framework-dependent discourse representations. This work investigates whether large language models (LLMs) capture di…
RelationRelation ClassificationA Unified Approach to Discourse Relation Classification in nine Languages
This paper presents efforts to solve the shared task on discourse relation classification (disrpt task 3). The intricate prediction task aims to predict a large number of classes from the Rhetorical Structure Theory (RST…
ClassificationRelationRelation ClassificationSentence+1Do sentence embeddings capture discourse properties of sentences from Scientific Abstracts ?
We introduce four tasks designed to determine which sentence encoders best capture discourse properties of sentences from scientific abstracts, namely coherence and cohesion between clauses of a sentence, and discourse r…
SentenceSentence EmbeddingsFeatures of Perceived Metaphoricity on the Discourse Level: Abstractness and Emotionality
Research on metaphorical language has shown ties between abstractness and emotionality with regard to metaphoricity; prior work is however limited to the word and sentence levels, and up to date there is no empirical stu…
SentenceImproved Document Modelling with a Neural Discourse Parser
Despite the success of attention-based neural models for natural language generation and classification tasks, they are unable to capture the discourse structure of larger documents. We hypothesize that explicit discours…
Abstractive Text SummarizationText Generation