暂无分享,去创建一个
[1] Yulia Tsvetkov,et al. A bottom up approach to category mapping and meaning change , 2015, NetWordS.
[2] Djamé Seddah,et al. Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora , 2020, ACL.
[3] Steven Skiena,et al. Statistically Significant Detection of Linguistic Change , 2014, WWW.
[4] Jure Leskovec,et al. Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change , 2016, EMNLP.
[5] Jure Leskovec,et al. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change , 2016, ACL.
[6] Sharath Chandra Guntuku,et al. Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo , 2019, WWW.
[7] Daniel Jurafsky,et al. Word embeddings quantify 100 years of gender and ethnic stereotypes , 2017, Proceedings of the National Academy of Sciences.
[8] B. Joseph,et al. Language History, Language Change, and Language Relationship: An Introduction to Historical and Comparative Linguistics , 1996 .
[9] Iyad Rahwan,et al. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm , 2017, EMNLP.
[10] Erez Lieberman Aiden,et al. Quantitative Analysis of Culture Using Millions of Digitized Books , 2010, Science.
[11] Xuanzhe Liu,et al. Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users , 2017, WWW.
[12] Gretchen McCulloch. Because Internet: Understanding the New Rules of Language , 2019 .
[13] Isabelle Augenstein,et al. emoji2vec: Learning Emoji Representations from their Description , 2016, SocialNLP@EMNLP.
[14] John Algeo,et al. Where Do All the New Words Come from , 1980 .
[15] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[16] O. Jespersen. Negation in English and other languages , 1917 .
[17] Horacio Saggion,et al. What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis , 2016, LREC.
[18] Daphna Weinshall,et al. Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models , 2017, EMNLP.
[19] Lyle H. Ungar,et al. Studying Cultural Differences in Emoji Usage across the East and the West , 2019, ICWSM.
[20] Csr Young,et al. How to Do Things With Words , 2009 .
[21] Loren G. Terveen,et al. "Blissfully Happy" or "Ready toFight": Varying Interpretations of Emoji , 2016, ICWSM.
[22] E. Goldman. Emojis and the Law , 2018 .
[23] Antonio Blanco Salgueiro. Promises, Threats, and the Foundations of Speech Act Theory , 2010 .
[24] Ö. Dahl,et al. Typology of sentence negation , 1979 .
[25] Yang Xu,et al. A Computational Evaluation of Two Laws of Semantic Change , 2015, CogSci.
[26] J. Algeo. Blends, a Structural and Systemic View , 1977 .
[27] Muriel Norde,et al. Lexicalization and language change , 2009 .
[28] Yoav Goldberg,et al. A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books , 2013, *SEMEVAL.