Cross-Domain Generalization of Neural Constituency Parsers

Cross-Domain Generalization of Neural Constituency Parsers

9 July 2019

Daniel Fried

Papers citing "Cross-Domain Generalization of Neural Constituency Parsers"

7 / 7 papers shown

Title
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions Terry Yue Zhuo Minh Chien Vu Jenny Chim Han Hu Wenhao Yu ... David Lo Daniel Fried Xiaoning Du H. D. Vries Leandro von Werra 74 131 0 22 Jun 2024
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 32 2 0 23 May 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 114 93 0 06 Oct 2022
Mind the Gap: Assessing Temporal Generalization in Neural Language Models Angeliki Lazaridou A. Kuncoro E. Gribovskaya Devang Agrawal Adam Liska ... Sebastian Ruder Dani Yogatama Kris Cao Susannah Young Phil Blunsom VLM 30 207 0 03 Feb 2021
Strongly Incremental Constituency Parsing with Graph Neural Networks Kaiyu Yang Jia Deng 27 35 0 27 Oct 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems Yiran Chen Pengfei Liu Ming Zhong Zi-Yi Dou Danqing Wang Xipeng Qiu Xuanjing Huang ELM 25 24 0 11 Oct 2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders A. Kuncoro Lingpeng Kong Daniel Fried Dani Yogatama Laura Rimell Chris Dyer Phil Blunsom 31 33 0 27 May 2020