A Critical Analysis of Biased Parsers in Unsupervised Parsing

20 September 2019

Papers citing "A Critical Analysis of Biased Parsers in Unsupervised Parsing"

9 / 9 papers shown

Title
Unsupervised and Few-shot Parsing from Pretrained Language Models Zhiyuan Zeng Deyi Xiong 37 4 0 10 Jun 2022
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction Samuel Mensah Kai Sun Nikolaos Aletras 62 18 0 02 Sep 2021
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning Forrest Davis Marten van Schijndel AI4CE 60 7 0 02 Jun 2021
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach Wenyu Du Zhouhan Lin Songlin Yang Timothy J. O'Donnell Yoshua Bengio Yue Zhang 70 13 0 12 May 2020
What is Learned in Visually Grounded Neural Syntax Acquisition Noriyuki Kojima Hadar Averbuch-Elor Alexander M. Rush Yoav Artzi 77 22 0 04 May 2020
Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment Forrest Davis Marten van Schijndel 63 23 0 01 May 2020
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction Taeuk Kim Jihun Choi Daniel Edmiston Sang-goo Lee 70 90 0 30 Jan 2020
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks R. Thomas McCoy Robert Frank Tal Linzen 102 109 0 10 Jan 2020
PaLM: A Hybrid Parser and Language Model Hao Peng Roy Schwartz Noah A. Smith AIMat 61 15 0 04 Sep 2019