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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? ...
Abstract: Analyses of word embeddings have primarily focused on semantic and syntactic properties. However, word embeddings have the potential to encode other properties as well. In this paper, we propose a new perspective on the analysis of word embeddings by focusing on spelling variation. In social media, spelling variation is abundant and often socially meaningful. Here, we analyze word embeddings trained on Twitter and Reddit data. We present three analyses using pairs of word forms covering seven types of spelling variation in English. Taken together, our results show that word embeddings encode spelling variation patterns of various types to some extent, even embeddings trained using the skipgram model which does not take spelling into account. Our results also suggest a link between the intentionality of the variation and the distance of the non-conventional spellings to their conventional spellings. ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6204-do-word-embeddings-capture-spelling-variationquestion
https://dx.doi.org/10.48448/w3e8-1m98
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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)
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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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