Improving Neural Parsing by Disentangling Model Combination and
Reranking Effects

Improving Neural Parsing by Disentangling Model Combination and Reranking Effects

10 July 2017

Daniel Fried

Papers citing "Improving Neural Parsing by Disentangling Model Combination and Reranking Effects"

9 / 9 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 71 129 0 22 Jun 2024
Nested Named Entity Recognition as Holistic Structure Parsing Yifei Yang Z. Li Hai Zhao 25 0 0 17 Apr 2022
A Span-based Linearization for Constituent Trees Yang Wei Yuanbin Wu Man Lan 19 9 0 30 Apr 2020
Neural Generative Rhetorical Structure Parsing Amandla Mabona Laura Rimell S. Clark Andreas Vlachos AIMat 19 22 0 24 Sep 2019
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank Junru Zhou Zhao Hai 31 144 0 05 Jul 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation A. Kuncoro Chris Dyer Laura Rimell S. Clark Phil Blunsom 27 26 0 14 Jun 2019
Direct Output Connection for a High-Rank Language Model Sho Takase Jun Suzuki Masaaki Nagata 18 36 0 30 Aug 2018
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing Daniel Fried Dan Klein 17 27 0 08 Jun 2018
Constituency Parsing with a Self-Attentive Encoder Nikita Kitaev Dan Klein 17 535 0 02 May 2018