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1
Words are the Window to the Soul: Language-based User Representations for Fake News Detection ...
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2
Analysing Lexical Semantic Change with Contextualised Word Representations ...
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3
DUPS: Diachronic Usage Pair Similarity ...
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4
DUPS: Diachronic Usage Pair Similarity ...
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5
DUPS: Diachronic Usage Pair Similarity ...
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6
Abusive Language Detection with Graph Convolutional Networks ...
Mishra, Pushkar; Del Tredici, Marco; Yannakoudakis, Helen. - : Apollo - University of Cambridge Repository, 2019
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Abusive Language Detection with Graph Convolutional Networks ...
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8
Author Profiling for Hate Speech Detection ...
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9
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains ...
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10
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP ...
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11
Abusive Language Detection with Graph Convolutional Networks
Mishra, Pushkar; Del Tredici, Marco; Yannakoudakis, Helen. - : Association for Computational Linguistics, 2019. : Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
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12
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities ...
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13
Semantic Variation in Online Communities of Practice ...
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14
Tracing metaphors in time through self-distance in vector spaces ...
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15
A word-embedding-based sense index for regular polysemy representation
Del Tredici, Marco; Bel Rafecas, Núria. - : ACL (Association for Computational Linguistics)
Abstract: Comunicació presentada a: 1st Workshop on Vector Space Modeling for Natural Language Processing, celebrada a Colorado, United States of America, del 31 de maig al 5 de juny de 2015. ; We present a method for the detection and representation of polysemous nouns, a phenomenon that has received little attention in NLP. The method is based on the exploitation of the semantic information preserved in Word Embeddings. We first prove that polysemous nouns instantiating a particular sense alternation form a separate class when clustering nouns in a lexicon. Such a class, however, does not include those polysemes in which a sense is strongly predominant. We address this problem and present a sense index that, for a given pair of lexical classes, defines the degree of membership of a noun to each class: polysemy is hence implicitly represented as an intermediate value on the continuum between two classes. We finally show that by exploiting the information provided by the sense index it is possible to accurately detect polysemous nouns in the dataset. ; This work was funded with the support of the IULAUPF PhD fellowship program.
URL: http://hdl.handle.net/10230/36699
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16
Short-term meaning shift: a distributional exploration
Del Tredici, Marco; Boleda, Gemma; Fernández, Raquel. - : ACL (Association for Computational Linguistics)
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