Discourse Relations and Conjoined VPs: Automated Sense Recognition
Sense classification of discourse relations is a sub-task of shallow discourse parsing. Discourse relations can occur both across sentences (\textit{inter-sentential}) and within sentences (\textit{intra-sentential}), and more than one discourse relation can hold between the same units. Using a newly available corpus of discourse-annotated intra-sentential conjoined verb phrases, we demonstrate a sequential classification pipeline for their multi-label sense classification. We assess the importance of each feature used in the classification, the feature scope, and what is lost in moving from gold standard manual parses to the output of an off-the-shelf parser.
Code (0)
등록된 구현이 없습니다.
Tasks
ClassificationDiscourse ParsingGeneral ClassificationMulti-Label ClassificationSimilar Papers 제목 키워드 기반
A Discourse-Annotated Corpus of Conjoined VPs
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 connective between them. In both PDT…
Contrastive LearningRelationExtending Implicit Discourse Relation Recognition to the PDTB-3
The PDTB-3 contains many more Implicit discourse relations than the previous PDTB-2. This is in part because implicit relations have now been annotated within sentences as well as between them. In addition, some now co-o…
Implicit RelationsRelationDiscSense: Automated Semantic Analysis of Discourse Markers
Discourse markers ({\it by contrast}, {\it happily}, etc.) are words or phrases that are used to signal semantic and/or pragmatic relationships between clauses or sentences. Recent work has fruitfully explored the predic…
ClassificationGeneral ClassificationSentenceMulti-Label Classification for Implicit Discourse Relation Recognition
Discourse relations play a pivotal role in establishing coherence within textual content, uniting sentences and clauses into a cohesive narrative. The Penn Discourse Treebank (PDTB) stands as one of the most extensively …
ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONRelation