Learning context-dependent word embeddings based on dependency parsing

Author(s):  
Ke Yan ◽  
Jie Chen ◽  
Wenhao Zhu ◽  
Xin Jin ◽  
Guannan Hu
2018 ◽  
Vol 107 ◽  
pp. 48-60 ◽  
Author(s):  
Henghui Zhu ◽  
Ioannis Ch. Paschalidis ◽  
Michael E. Hasselmo

1998 ◽  
Vol 18 (1) ◽  
pp. 5-25 ◽  
Author(s):  
Robert T. Elliott ◽  
Qingzong Zhang

Author(s):  
Yeon Soon Shin ◽  
Rolando Masís-Obando ◽  
Neggin Keshavarzian ◽  
Riya Dáve ◽  
Kenneth A. Norman

AbstractThe context-dependent memory effect, in which memory for an item is better when the retrieval context matches the original learning context, has proved to be difficult to reproduce in a laboratory setting. In an effort to identify a set of features that generate a robust context-dependent memory effect, we developed a paradigm in virtual reality using two semantically distinct virtual contexts: underwater and Mars environments, each with a separate body of knowledge (schema) associated with it. We show that items are better recalled when retrieved in the same context as the study context; we also show that the size of the effect is larger for items deemed context-relevant at encoding, suggesting that context-dependent memory effects may depend on items being integrated into an active schema.


Author(s):  
Yijia Liu ◽  
Wanxiang Che ◽  
Yuxuan Wang ◽  
Bo Zheng ◽  
Bing Qin ◽  
...  

Author(s):  
Milad S. Malekzadeh ◽  
Danilo Bruno ◽  
Sylvain Calinon ◽  
Thrishantha Nanayakkara ◽  
Darwin G. Caldwell

2020 ◽  
Vol 10 (3) ◽  
pp. 1-26
Author(s):  
Keita Higuchi ◽  
Hiroki Tsuchida ◽  
Eshed Ohn-Bar ◽  
Yoichi Sato ◽  
Kris Kitani

2019 ◽  
Author(s):  
Artur Kulmizev ◽  
Miryam de Lhoneux ◽  
Johannes Gontrum ◽  
Elena Fano ◽  
Joakim Nivre

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