Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Smaranda Muresan"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11, Pp 176-190 (2023)
AbstractWhile the link between color and emotion has been widely studied, how context-based changes in color impact the intensity of perceived emotions is not well understood. In this work, we present a new multimodal dataset for exploring the emotio
Externí odkaz:
https://doaj.org/article/a909652578074afcaa89f346922c330d
Publikováno v:
Computational Linguistics, Vol 44, Iss 4, Pp 755-792 (2018)
Computational models for sarcasm detection have often relied on the content of utterances in isolation. However, the speaker’s sarcastic intent is not always apparent without additional context. Focusing on social media discussions, we investigate
Externí odkaz:
https://doaj.org/article/aa40d20abaab4321912b9ec364bee172
Autor:
Melissa N. Slavin, Nabila El-Bassel, Karli R Hochstatter, Chenghao Yang, Smaranda Muresan, Yudong Zhang
Publikováno v:
Journal of Addiction Medicine. 16:e123-e132
OBJECTIVES: This paper uses a social media platform, Reddit, to identify real-time experiences of people who use drugs during the COVID-19 lock-down. METHODS: Reddit is a popular and growing social media platform, providing a large, publicly availabl
Autor:
Ramy Eskander, Cass Lowry, Sujay Khandagale, Judith Klavans, Maria Polinsky, Smaranda Muresan
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Publikováno v:
ACL/IJCNLP (Findings)
We introduce a collection of recognizing textual entailment (RTE) datasets focused on figurative language. We leverage five existing datasets annotated for a variety of figurative language -- simile, metaphor, and irony -- and frame them into over 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::124df98ab3003d7f7d96e6513f50a3a0
http://arxiv.org/abs/2106.01195
http://arxiv.org/abs/2106.01195
This article demonstrates how experiential learning could be used to develop argumentative essay writing skills in STEM students. Written feedback, when delivered in a timely manner, is an effective way of advancing students’ understanding of the w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cec25b426c8094eb4ee7493b6ee4a59
https://doi.org/10.36227/techrxiv.13726720
https://doi.org/10.36227/techrxiv.13726720
Publikováno v:
EACL
Detecting arguments in online interactions is useful to understand how conflicts arise and get resolved. Users often use figurative language, such as sarcasm, either as persuasive devices or to attack the opponent by an ad hominem argument. To furthe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::405a585ed5562e58a505bf4a889ce348
http://arxiv.org/abs/2101.10952
http://arxiv.org/abs/2101.10952
Publikováno v:
ACL/IJCNLP (2)
Social media has become a valuable resource for the study of suicidal ideation and the assessment of suicide risk. Among social media platforms, Reddit has emerged as the most promising one due to its anonymity and its focus on topic-based communitie
Publikováno v:
NAACL-HLT
The problem of detecting psychological stress in online posts, and more broadly, of detecting people in distress or in need of help, is a sensitive application for which the ability to interpret models is vital. Here, we present work exploring the us
Publikováno v:
ACL/IJCNLP (1)
We introduce a FEVER-like dataset COVID-Fact of $4,086$ claims concerning the COVID-19 pandemic. The dataset contains claims, evidence for the claims, and contradictory claims refuted by the evidence. Unlike previous approaches, we automatically dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54e4b5663efa3710031876e4235f4ee1