ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1607.01432
  4. Cited By
Global Neural CCG Parsing with Optimality Guarantees

Global Neural CCG Parsing with Optimality Guarantees

5 July 2016
Kenton Lee
M. Lewis
Luke Zettlemoyer
ArXivPDFHTML

Papers citing "Global Neural CCG Parsing with Optimality Guarantees"

6 / 6 papers shown
Title
Searching for More Efficient Dynamic Programs
Searching for More Efficient Dynamic Programs
Tim Vieira
Ryan Cotterell
Jason Eisner
26
3
0
14 Sep 2021
Dynamic Tensor Rematerialization
Dynamic Tensor Rematerialization
Marisa Kirisame
Steven Lyubomirsky
Altan Haan
Jennifer Brennan
Mike He
Jared Roesch
Tianqi Chen
Zachary Tatlock
21
93
0
17 Jun 2020
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
Nikita Kitaev
Dan Klein
38
20
0
22 Apr 2019
The Web as a Knowledge-base for Answering Complex Questions
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor
Jonathan Berant
27
558
0
18 Mar 2018
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked
  Data
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data
Sherzod Hakimov
Soufian Jebbara
Philipp Cimiano
25
25
0
26 Feb 2018
A* CCG Parsing with a Supertag and Dependency Factored Model
A* CCG Parsing with a Supertag and Dependency Factored Model
Masashi Yoshikawa
Hiroshi Noji
Yuji Matsumoto
LRM
3DV
19
63
0
23 Apr 2017
1