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Dependency Parsing as Head Selection

Dependency Parsing as Head Selection

3 June 2016
Xingxing Zhang
Jianpeng Cheng
Mirella Lapata
ArXivPDFHTML

Papers citing "Dependency Parsing as Head Selection"

20 / 20 papers shown
Title
Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource
  Language Analysis With Character-Aware Hierarchical Transformers
Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers
Frederick Riemenschneider
Kevin Krahn
29
2
0
30 May 2024
Exploring Large Language Models for Classical Philology
Exploring Large Language Models for Classical Philology
Frederick Riemenschneider
Anette Frank
19
15
0
23 May 2023
On the inconsistency of separable losses for structured prediction
On the inconsistency of separable losses for structured prediction
Caio Corro
9
3
0
25 Jan 2023
Instance-Based Neural Dependency Parsing
Instance-Based Neural Dependency Parsing
Hiroki Ouchi
Jun Suzuki
Sosuke Kobayashi
Sho Yokoi
Tatsuki Kuribayashi
Masashi Yoshikawa
Kentaro Inui
37
3
0
28 Sep 2021
Dependency Parsing with Bottom-up Hierarchical Pointer Networks
Dependency Parsing with Bottom-up Hierarchical Pointer Networks
Daniel Fernández-González
Carlos Gómez-Rodríguez
26
13
0
20 May 2021
Generating CCG Categories
Generating CCG Categories
Yufang Liu
Tao Ji
Yuanbin Wu
Man Lan
34
5
0
15 Mar 2021
Neural Proof Nets
Neural Proof Nets
Konstantinos Kogkalidis
M. Moortgat
R. Moot
20
11
0
26 Sep 2020
Multitask Pointer Network for Multi-Representational Parsing
Multitask Pointer Network for Multi-Representational Parsing
Daniel Fernández-González
Carlos Gómez-Rodríguez
35
24
0
21 Sep 2020
Transition-based Semantic Dependency Parsing with Pointer Networks
Transition-based Semantic Dependency Parsing with Pointer Networks
Daniel Fernández-González
Carlos Gómez-Rodríguez
GNN
28
34
0
27 May 2020
Span-based discontinuous constituency parsing: a family of exact
  chart-based algorithms with time complexities from O(n^6) down to O(n^3)
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)
Caio Corro
19
23
0
30 Mar 2020
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning
  Easy-First Strategies
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies
Shuhei Kurita
Anders Søgaard
18
30
0
04 Jun 2019
Left-to-Right Dependency Parsing with Pointer Networks
Left-to-Right Dependency Parsing with Pointer Networks
Daniel Fernández-González
Carlos Gómez-Rodríguez
26
58
0
20 Mar 2019
Viable Dependency Parsing as Sequence Labeling
Viable Dependency Parsing as Sequence Labeling
Michalina Strzyz
David Vilares
Carlos Gómez-Rodríguez
32
68
0
27 Feb 2019
Adversarial training for multi-context joint entity and relation
  extraction
Adversarial training for multi-context joint entity and relation extraction
Giannis Bekoulis
Johannes Deleu
T. Demeester
Chris Develder
GAN
22
174
0
21 Aug 2018
An improved neural network model for joint POS tagging and dependency
  parsing
An improved neural network model for joint POS tagging and dependency parsing
Dat Quoc Nguyen
Karin Verspoor
30
63
0
11 Jul 2018
What's Going On in Neural Constituency Parsers? An Analysis
What's Going On in Neural Constituency Parsers? An Analysis
David Gaddy
Mitchell Stern
Dan Klein
NAI
14
74
0
20 Apr 2018
Joint entity recognition and relation extraction as a multi-head
  selection problem
Joint entity recognition and relation extraction as a multi-head selection problem
Giannis Bekoulis
Johannes Deleu
Thomas Demeester
Chris Develder
17
371
0
20 Apr 2018
Colorless green recurrent networks dream hierarchically
Colorless green recurrent networks dream hierarchically
Kristina Gulordava
Piotr Bojanowski
Edouard Grave
Tal Linzen
Marco Baroni
25
502
0
29 Mar 2018
Non-Projective Dependency Parsing via Latent Heads Representation (LHR)
Non-Projective Dependency Parsing via Latent Heads Representation (LHR)
Matteo Grella
Simone Cangialosi
21
1
0
06 Feb 2018
Neural End-to-End Learning for Computational Argumentation Mining
Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
Johannes Daxenberger
Iryna Gurevych
24
192
0
20 Apr 2017
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