Results 41 to 50 of about 229,295 (345)
Zero-Shot Stance Detection: A Dataset and Model Using Generalized Topic Representations [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 Stance detection is an important component of understanding hidden influences in everyday life. Since there are thousands of potential topics to take a stance on, most with little to no training data, we focus on zero-shot stance detection: classifying ...
Emily Allaway, K. McKeown
semanticscholar +1 more source
Applied Sciences, 2022 In the age of social networks, the number of tweets sent by users has led to a sharp rise in public opinion. Public opinions are closely related to user stances. User stance detection has become an important task in the field of public opinion.
Peng Jia +5 more
doaj +1 more source
Towards Topic-Guided Conversational Recommender System [PDF]
International Conference on Computational Linguistics, 2020 Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. To develop an effective CRS, the support of high-quality datasets is essential.
Kun Zhou +4 more
semanticscholar +1 more source
INTERACTIVE TOOL FOR VISUALIZATION OF TOPIC MODELS [PDF]
Acta Electrotechnica et Informatica, 2019 Digital data are all around us and occurs in various forms as videos, pictures or texts. Digital documents represent the vast majority of such data. It can be e-news, social media contributions and so on.
Miroslav SMATANA +3 more
doaj +1 more source
Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling
IEEE Access, 2021 The understanding and analyzing of available content on Social media Platforms such as Twitter and Facebook, through various topic modeling methods is not supervised.
Zoya +3 more
doaj +1 more source
Twitter Topic Classification [PDF]
International Conference on Computational Linguistics, 2022 Social media platforms host discussions about a wide variety of topics that arise everyday. Making sense of all the content and organising it into categories is an arduous task.
D. Antypas +5 more
semanticscholar +1 more source
International Journal of Population Data Science, 2018 Cancer care is complex and exists within the broader healthcare system. The CanIMPACT team sought to enhance primary cancer care capacity and improve integration between primary and cancer specialist care, focusing on breast cancer.
Patti Ann Groome +7 more
doaj +1 more source
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets [PDF]
Proceedings of the 2018 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers), 2018 NAACL HLT 2018, 14 pages, 6 figures, data available at http://www.cs.cornell.edu/~jhessel/concreteness/concreteness ...
Jack Hessel, David M. Mimno, Lillian Lee
openaire +2 more sources
ClimaText: A Dataset for Climate Change Topic Detection
CoRR, 2020 Accepted for the Tackling Climate Change with Machine Learning Workshop at NeurIPS ...
Varini, Francesco +3 more
openaire +3 more sources
NEWTS: A Corpus for News Topic-Focused Summarization [PDF]
Findings, 2022 Text summarization models are approaching human levels of fidelity. Existing benchmarking corpora provide concordant pairs of full and abridged versions of Web, news or professional content.
Seyed Ali Bahrainian +2 more
semanticscholar +1 more source