Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yixue Dang"'
Publikováno v:
Artificial Intelligence and Mobile Services – AIMS 2022 ISBN: 9783031235030
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a650fb51c40ddeb9cdab58c37726e1b
https://doi.org/10.1007/978-3-031-23504-7_6
https://doi.org/10.1007/978-3-031-23504-7_6
Publikováno v:
SIGIR
Detecting sarcastic expressions could promote the understanding of natural language in social media. In this paper, we revisit sarcasm detection from a novel perspective, so as to account for the long-range literal sentiment inconsistencies. More con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d25c59b958d6271a9ec6bef77403ed0d
http://wrap.warwick.ac.uk/153596/7/WRAP-affective-dependency-graph-sarcasm-detection-Gui-2021.pdf
http://wrap.warwick.ac.uk/153596/7/WRAP-affective-dependency-graph-sarcasm-detection-Gui-2021.pdf
Publikováno v:
SemEval@ACL/IJCNLP
This paper presents the winning system that participated in SemEval-2021 Task 5: Toxic Spans Detection. This task aims to locate those spans that attribute to the text’s toxicity within a text, which is crucial for semi-automated moderation in onli
Publikováno v:
ACL/IJCNLP (1)
The goal of argumentation mining is to automatically extract argumentation structures from argumentative texts. Most existing methods determine argumentative relations by exhaustively enumerating all possible pairs of argument components, which suffe