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1
Same Author or Just Same Topic? Towards Content-Independent Style Representations ...
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2
Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018 ...
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3
Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework ...
Wegmann, Anna; Nguyen, Dong. - : arXiv, 2021
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4
HateCheck: Functional Tests for Hate Speech Detection Models ...
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5
Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework ...
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6
On learning and representing social meaning in NLP: a sociolinguistic perspective ...
NAACL 2021 2021; Grieve, Jack; Nguyen, Dong. - : Underline Science Inc., 2021
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7
Linguistic analysis of suspected child sexual offenders’ interactions in a dark web image exchange chatroom
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8
Do Word Embeddings Capture Spelling Variation? ...
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9
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings
Shoemark, Philippa; McGillivray, Barbara; Nguyen, Dong. - : Association for Computational Linguistics, 2020
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10
How We Do Things With Words: Analyzing Text as Social and Cultural Data
In: Front Artif Intell (2020)
Abstract: In this article we describe our experiences with computational text analysis involving rich social and cultural concepts. We hope to achieve three primary goals. First, we aim to shed light on thorny issues not always at the forefront of discussions about computational text analysis methods. Second, we hope to provide a set of key questions that can guide work in this area. Our guidance is based on our own experiences and is therefore inherently imperfect. Still, given our diversity of disciplinary backgrounds and research practices, we hope to capture a range of ideas and identify commonalities that resonate for many. This leads to our final goal: to help promote interdisciplinary collaborations. Interdisciplinary insights and partnerships are essential for realizing the full potential of any computational text analysis involving social and cultural concepts, and the more we bridge these divides, the more fruitful we believe our work will be.
Keyword: Artificial Intelligence
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861331/
https://doi.org/10.3389/frai.2020.00062
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11
Monthly word embeddings for Twitter random sample (English, 2012-2018) ...
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12
Monthly word embeddings for Twitter random sample (English, 2012-2018) ...
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13
Emo, love and god: making sense of Urban Dictionary, a crowd-sourced online dictionary ...
Nguyen, Dong; McGillivray, Barbara; Yasseri, Taha. - : Apollo - University of Cambridge Repository, 2018
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14
Emo, love and god: making sense of Urban Dictionary, a crowd-sourced online dictionary
Yasseri, Taha; Nguyen, Dong; McGillivray, Barbara. - : The Royal Society, 2018. : http://rsos.royalsocietypublishing.org/content/5/5/172320, 2018. : Royal Society Open Science, 2018
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15
Emo, love and god: making sense of Urban Dictionary, a crowd-sourced online dictionary
Nguyen, Dong; McGillivray, Barbara; Yasseri, Taha. - : The Royal Society Publishing, 2018
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16
Emo, Love, and God: Making Sense of Urban Dictionary, a Crowd-Sourced Online Dictionary ...
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17
A Kernel Independence Test for Geographical Language Variation ...
Nguyen, Dong; Eisenstein, Jacob. - : arXiv, 2016
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18
Audience and the Use of Minority Languages on Twitter
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2015)
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19
Computational Sociolinguistics: A Survey ...
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20
"How Old Do You Think I Am?" A Study of Language and Age in Twitter
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 7 No. 1 (2013): Seventh International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2013)
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