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1
Few-shot Language Coordination by Modeling Theory of Mind ...
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2
Dependency Induction Through the Lens of Visual Perception ...
Su, Ruisi; Rijhwani, Shruti; Zhu, Hao. - : arXiv, 2021
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3
The Return of Lexical Dependencies: Neural Lexicalized PCFGs ...
Abstract: In this paper we demonstrate that $\textit{context free grammar (CFG) based methods for grammar induction benefit from modeling lexical dependencies}$. This contrasts to the most popular current methods for grammar induction, which focus on discovering $\textit{either}$ constituents $\textit{or}$ dependencies. Previous approaches to marry these two disparate syntactic formalisms (e.g. lexicalized PCFGs) have been plagued by sparsity, making them unsuitable for unsupervised grammar induction. However, in this work, we present novel neural models of lexicalized PCFGs which allow us to overcome sparsity problems and effectively induce both constituents and dependencies within a single model. Experiments demonstrate that this unified framework results in stronger results on both representations than achieved when modeling either formalism alone. Code is available at https://github.com/neulab/neural-lpcfg. ... : Accepted at TACL 2020 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/2007.15135
https://dx.doi.org/10.48550/arxiv.2007.15135
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4
Research on Educational Nature and Root of Life
In: Cross-Cultural Communication; Vol 16, No 3 (2020): Cross-Cultural Communication; 40-46 ; 1923-6700 ; 1712-8358 (2020)
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5
Incorporating Chinese Characters of Words for Lexical Sememe Prediction ...
Jin, Huiming; Zhu, Hao; Liu, Zhiyuan. - : arXiv, 2018
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6
A variational Bayesian approach to robust sensor fusion based on Student-t distribution
In: Information sciences. - New York, NY : Elsevier Science Inc. 221 (2013), 201-214
OLC Linguistik
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