Strongly Incremental Constituency Parsing with Graph Neural Networks

27 October 2020

Papers citing "Strongly Incremental Constituency Parsing with Graph Neural Networks"

10 / 10 papers shown

Title
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction Xinmeng Hou Lingyue Fu Chenhao Meng Hai Hu Wuqi Wang Hai Hu 70 0 0 29 Nov 2024
Constituency Parsing using LLMs Xuefeng Bai Jialong Wu Yulong Chen Zhongqing Wang Yue Zhang 33 1 0 30 Oct 2023
Structured Sentiment Analysis as Transition-based Dependency Parsing Daniel Fernández-González 29 1 0 09 May 2023
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers Nguyen Anh Tu Hoang Thi Thu Uyen Tu Minh Phuong Ngo Xuan Bach AILaw 15 1 0 27 Apr 2023
Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing Tianyuan Shi Zhicheng Wang Liyin Xiao Cong Liu 16 1 0 16 Dec 2022
A Double-Graph Based Framework for Frame Semantic Parsing Ce Zheng Xudong Chen Runxin Xu Baobao Chang 11 13 0 18 Jun 2022
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling Jakob Prange Nathan Schneider Lingpeng Kong 13 9 0 15 Dec 2021
Discontinuous Grammar as a Foreign Language Daniel Fernández-González Carlos Gómez-Rodríguez 40 9 0 20 Oct 2021
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks Songlin Yang Kewei Tu 38 45 0 11 Oct 2021
Neural Combinatory Constituency Parsing Zhousi Chen Longtu Zhang Aizhan Imankulova Mamoru Komachi 20 2 0 12 Jun 2021