The Return of Lexical Dependencies: Neural Lexicalized PCFGs

The Return of Lexical Dependencies: Neural Lexicalized PCFGs

29 July 2020

Graham Neubig

Papers citing "The Return of Lexical Dependencies: Neural Lexicalized PCFGs"

9 / 9 papers shown

Title
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models Taeuk Kim 37 1 0 15 Sep 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs Aaron Courville Wei Liu Kewei Tu 21 8 0 01 May 2022
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing Chao Lou Aaron Courville Kewei Tu 38 37 0 09 Mar 2022
Scaling Structured Inference with Randomization Yao Fu John P. Cunningham Mirella Lapata BDL 32 2 0 07 Dec 2021
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments Yu Zhang Qingrong Xia Shilin Zhou Yong-jia Jiang Guohong Fu Min Zhang 43 27 0 13 Oct 2021
Co-training an Unsupervised Constituency Parser with Weak Supervision Nickil Maveli Shay B. Cohen SSL 49 3 0 05 Oct 2021
Dependency Induction Through the Lens of Visual Perception Ruisi Su Shruti Rijhwani Hao Zhu Junxian He Xinyu Wang Yonatan Bisk Graham Neubig 41 2 0 20 Sep 2021
Sequence-to-Sequence Learning with Latent Neural Grammars Yoon Kim 33 40 0 02 Sep 2021
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols Aaron Courville Yanpeng Zhao Kewei Tu 23 22 0 28 Apr 2021