Papers Connective Detection
“Connective Detection” 태그가 달린 논문 9편 · 필터 해제
Lightweight Connective Detection Using Gradient Boosting
In this work, we introduce a lightweight discourse connective detection system. Employing gradient boosting trained on straightforward, low-complexity features, this proposed approach sidesteps the computational demands …
Connective DetectionCPUThe DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification
In 2021, we organized the second iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task (Discourse Relation Parsing and Treebanking). Adding to th…
Connective DetectionDiscourse ParsingRelationRelation ClassificationMulti-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+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+5Introduction to Discourse Relation Parsing and Treebanking (DISRPT): 7th Workshop on Rhetorical Structure Theory and Related Formalisms
This overview summarizes the main contributions of the accepted papers at the 2019 workshop on Discourse Relation Parsing and Treebanking (DISRPT 2019). Co-located with NAACL 2019 in Minneapolis, the workshop{'}s aim was…
Connective DetectionThe DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection
In 2019, we organized the first iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task on Elementary Discourse Unit Segmentation and Connective De…
Connective DetectionDiscourse ParsingSurveyToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents
Segmentation is the first step in building practical discourse parsers, and is often neglected in discourse parsing studies. The goal is to identify the minimal spans of text to be linked by discourse relations, or to is…
Connective DetectionDiscourse ParsingDiscourse SegmentationSegmentation+1Multilingual segmentation based on neural networks and pre-trained word embeddings
The DISPRT 2019 workshop has organized a shared task aiming to identify cross-formalism and multilingual discourse segments. Elementary Discourse Units (EDUs) are quite similar across different theories. Segmentation is …
Connective DetectionDiscourse SegmentationSegmentationWord EmbeddingsGumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
In this paper we present GumDrop, Georgetown University's entry at the DISRPT 2019 Shared Task on automatic discourse unit segmentation and connective detection. Our approach relies on model stacking, creating a heteroge…
Connective DetectionDiscourse SegmentationSegmentationSentence