Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lahari Poddar"'
Publikováno v:
ICTAI
Detection of Adverse Drug Events (ADE) or side effects of different treatments are necessary to minimize potential health risks of patients. Given the prevalence of user reported content on the web, recent research has focused on the automatic discov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::472598aaecc7a595dd12b74f71227b1f
https://doi.org/10.1109/ictai.2019.00059
https://doi.org/10.1109/ictai.2019.00059
Autor:
Pradeep Karuturi, William Brendel, Leonardo Neves, Sergey Tulyakov, Luís Marujo, Lahari Poddar
Publikováno v:
NAACL-HLT (2)
Tracking user reported bugs requires considerable engineering effort in going through many repetitive reports and assigning them to the correct teams. This paper proposes a neural architecture that can jointly (1) detect if two bug reports are duplic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7293279dea8b1b700cf55a1c7921550e
Publikováno v:
ICTAI
Detecting rumors is a crucial task requiring significant time and manual effort in forms of investigative journalism. In social media such as Twitter, unverified information can get disseminated rapidly making early detection of potentially false rum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fffa405d601aeff3a85eeee9f045ff90
https://doi.org/10.1109/ictai.2018.00021
https://doi.org/10.1109/ictai.2018.00021
Publikováno v:
WWW (Companion Volume)
In public online discussion forums, the large user base and frequent posts can create challenges for recommending threads to users. Importantly, traditional recommender systems, based on collaborative filtering, are not capable of handlingnever-seen-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d4de26ec1076c4d029dd1fbe2b4097b
https://doi.org/10.1145/3184558.3191659
https://doi.org/10.1145/3184558.3191659
Publikováno v:
Scopus-Elsevier
IJCAI
IJCAI
User opinions expressed in the form of ratings can influence an individual's view of an item. However, the true quality of an item is often obfuscated by user biases, and it is not obvious from the observed ratings the importance different users plac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db9ed7988561c0193f1cf623ed4c0c32
http://arxiv.org/abs/1705.05098
http://arxiv.org/abs/1705.05098
Publikováno v:
EMNLP
User generated content about products and services in the form of reviews are often diverse and even contradictory. This makes it difficult for users to know if an opinion in a review is prevalent or biased. We study the problem of searching for supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54a02a212a4a178d9711140fb8e15ae5
https://doi.org/10.18653/v1/d17-1049
https://doi.org/10.18653/v1/d17-1049
Publikováno v:
WASSA@EMNLP
Patients turn to Online Health Commu- nities not only for information on spe- cific conditions but also for emotional sup- port. Previous research has indicated that the progression of emotional status can be studied through the linguistic patterns o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5b89e8540cc18ba5eba8d45d2aaf91c
https://doi.org/10.18653/v1/w17-5217
https://doi.org/10.18653/v1/w17-5217