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1
HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis ...
Qiu, Wenjun; Xu, Yang. - : arXiv, 2022
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2
Neural reality of argument structure constructions ...
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3
HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis ...
Wenjun Qiu; Xu, Yang. - : Unpublished, 2022
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4
Computational approaches to semantic change
Tahmasebi, Nina N. (Herausgeber); Borin, Lars (Herausgeber); Jatowt, Adam (Herausgeber). - Berlin : Language Science Press, 2021
UB Frankfurt Linguistik
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5
Chaining and the formation of spatial semantic categories in childhood
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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6
A computational evaluation of gender asymmetry in semantic change
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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7
A diachronic evaluation of gender asymmetry in euphemism ...
Kapron-King, Anna; Xu, Yang. - : arXiv, 2021
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8
Teachers and Students Enacting Language Policy: A Case Study of a Secondary School in China ...
Xu, Yang. - : The Australian National University, 2021
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9
Computational approaches to semantic change ...
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10
Computational approaches to semantic change ...
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11
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding ...
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12
A computational evaluation of gender asymmetry in semantic change ...
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13
A computational evaluation of gender asymmetry in semantic change ...
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14
Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining ...
Yu, Lei; Xu, Yang. - : arXiv, 2021
Abstract: Natural language relies on a finite lexicon to express an unbounded set of emerging ideas. One result of this tension is the formation of new compositions, such that existing linguistic units can be combined with emerging items into novel expressions. We develop a framework that exploits the cognitive mechanisms of chaining and multimodal knowledge to predict emergent compositional expressions through time. We present the syntactic frame extension model (SFEM) that draws on the theory of chaining and knowledge from "percept", "concept", and "language" to infer how verbs extend their frames to form new compositions with existing and novel nouns. We evaluate SFEM rigorously on the 1) modalities of knowledge and 2) categorization models of chaining, in a syntactically parsed English corpus over the past 150 years. We show that multimodal SFEM predicts newly emerged verb syntax and arguments substantially better than competing models using purely linguistic or unimodal knowledge. We find support for an exemplar ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2109.04652
https://dx.doi.org/10.48550/arxiv.2109.04652
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15
Chaining algorithms and historical adjective extension ...
Grewal, Karan; Xu, Yang. - : Zenodo, 2021
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16
Chaining algorithms and historical adjective extension ...
Grewal, Karan; Xu, Yang. - : Zenodo, 2021
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17
Historical changes in semantic weights of sub-word units ...
Xu, Yang; Zhang, Zheng-Sheng. - : Zenodo, 2021
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18
Historical changes in semantic weights of sub-word units ...
Xu, Yang; Zhang, Zheng-Sheng. - : Zenodo, 2021
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19
Chaining and the formation of spatial semantic categories in childhood ...
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20
Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining ...
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