Papers Discourse Segmentation
“Discourse Segmentation” 태그가 달린 논문 38편 · 필터 해제
Automatic Alignment of Discourse Relations of Different Discourse Annotation Frameworks
Existing discourse corpora are annotated based on different frameworks, which show significant dissimilarities in definitions of arguments and relations and structural constraints. Despite surface differences, these fram…
Contrastive LearningDiscourse SegmentationRelationDiscourse Relations Classification and Cross-Framework Discourse Relation Classification Through the Lens of Cognitive Dimensions: An Empirical Investigation
Existing discourse formalisms use different taxonomies of discourse relations, which require expert knowledge to understand, posing a challenge for annotation and automatic classification. We show that discourse relation…
ClassificationDiscourse SegmentationRelation ClassificationSentence-Level Discourse Parsing as Text-to-Text Generation
Previous studies have made great advances in RST discourse parsing through neural frameworks or efficient features, but they split the parsing process into two subtasks and heavily depended on gold segmentation. In this …
Discourse ParsingDiscourse SegmentationSegmentationSentence+1A Transformer Based Approach towards Identification of Discourse Unit Segments and Connectives
Discourse parsing, which involves understanding the structure, information flow, and modeling the coherence of a given text, is an important task in natural language processing. It forms the basis of several natural lang…
Discourse ParsingDiscourse SegmentationPOSQuestion Answering+3Multi-lingual Discourse Segmentation and Connective Identification: MELODI at Disrpt2021
We present an approach for discourse segmentation and discourse connective identification, both at the sentence and document level, within the Disrpt 2021 shared task, a multi-lingual and multi-formalism evaluation campa…
Connective DetectionDiscourse ParsingDiscourse SegmentationSegmentation+1Delexicalised Multilingual Discourse Segmentation for DISRPT 2021 and Tense, Mood, Voice and Modality Tagging for 11 Languages
This paper describes our participating system for the Shared Task on Discourse Segmentation and Connective Identification across Formalisms and Languages. Key features of the presented approach are the formulation as a c…
Discourse SegmentationWeakly 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. While segmentation models for written text tend to perform well, th…
Discourse SegmentationSegmentationText SegmentationText Summarization+1A Language Model-based Generative Classifier for Sentence-level Discourse Parsing
Discourse segmentation and sentence-level discourse parsing play important roles for various NLP tasks to consider textual coherence. Despite recent achievements in both tasks, there is still room for improvement due to …
Discourse ParsingDiscourse SegmentationLanguage ModelingLanguage Modelling+2DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing
Text discourse parsing weighs importantly in understanding information flow and argumentative structure in natural language, making it beneficial for downstream tasks. While previous work significantly improves the perfo…
Discourse ParsingDiscourse SegmentationEnd-to-End RST ParsingSegmentation+1DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification. Our system, called DisCoDisCo, is a Transformer-based neural classifier…
ClassificationConnective DetectionDiscourse ParsingDiscourse Segmentation+5A Conditional Splitting Framework for Efficient Constituency Parsing
We introduce a generic seq2seq parsing framework that casts constituency parsing problems (syntactic and discourse parsing) into a series of conditional splitting decisions. Our parsing model estimates the conditional pr…
Constituency ParsingDiscourse ParsingDiscourse SegmentationSegmentationDiscourse-based Argument Segmentation and Annotation
The paper presents a discourse-based approach to the analysis of argumentative texts departing from the assumption that the coherence of a text should capture argumentation structure as well and, therefore, existing disc…
Discourse SegmentationSegmentationRST Parsing from Scratch
We introduce a novel top-down end-to-end formulation of document-level discourse parsing in the Rhetorical Structure Theory (RST) framework. In this formulation, we consider discourse parsing as a sequence of splitting d…
Discourse ParsingDiscourse SegmentationEnd-to-End RST ParsingSegmentationDeep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
We explore creating automated, personalized feedback in an intelligent tutoring system (ITS). Our goal is to pinpoint correct and incorrect concepts in student answers in order to achieve better student learning gains. A…
Discourse SegmentationMisconceptionsOpen-Retrieval Conversational Machine Reading
In conversational machine reading, systems need to interpret natural language rules, answer high-level questions such as "May I qualify for VA health care benefits?", and ask follow-up clarification questions whose answe…
Discourse SegmentationReading ComprehensionRetrievalDiscern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
Document interpretation and dialog understanding are the two major challenges for conversational machine reading. In this work, we propose Discern, a discourse-aware entailment reasoning network to strengthen the connect…
Decision MakingDiscourse SegmentationQuestion GenerationQuestion-Generation+1Automatic Discourse Segmentation: Review and Perspectives
Multilingual discourse parsing is a very prominent research topic. The first stage for discourse parsing is discourse segmentation. The study reported in this article addresses a review of two on-line available discourse…
Discourse ParsingDiscourse SegmentationSegmentationJoint Learning of Syntactic Features Helps Discourse Segmentation
This paper describes an accurate framework for carrying out multi-lingual discourse segmentation with BERT (Devlin et al., 2019). The model is trained to identify segments by casting the problem as a token classification…
Discourse Segmentationtoken-classificationText Segmentation by Cross Segment Attention
Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization. In…
Discourse SegmentationInformation RetrievalRetrievalSegmentation+2Automatic Discourse Segmentation: an evaluation in French
In this article, we describe some discursive segmentation methods as well as a preliminary evaluation of the segmentation quality. Although our experiment were carried for documents in French, we have developed three dis…
Discourse SegmentationPOSSegmentation