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Natural Language Processing
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Understanding
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Parsing
958 directly classified papers
Papers per year
2001: 1
2002: 4
2005: 1
2006: 1
2007: 2
2011: 2
2012: 3
2014: 2
2015: 2
2016: 19
2017: 91
2018: 94
2019: 103
2020: 139
2021: 156
2022: 111
2023: 91
2024: 82
2025: 47
2026: 7
Papers
A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing
CONLL 2018
Accurate SHRG-Based Semantic Parsing
ACL 2018
Twitter Universal Dependency Parsing for African-American and Mainstream American English
ACL 2018
Sentences with Gapping: Parsing and Reconstructing Elided Predicates
NAACL 2018
AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing
CONLL 2018
Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
CONLL 2017
Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis
IJCNLP 2017
Neural Probabilistic Model for Non-projective MST Parsing
IJCNLP 2017
Dependency Parsing with Partial Annotations: An Empirical Comparison
IJCNLP 2017
GraWiTas: a Grammar-based Wikipedia Talk Page Parser
EACL 2017
An Incremental Parser for Abstract Meaning Representation
EACL 2017
Initial Explorations of CCG Supertagging for Universal Dependency Parsing
CONLL 2017
From Raw Text to Universal Dependencies - Look, No Tags!
CONLL 2017
Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies
CONLL 2017
A Transition-based System for Universal Dependency Parsing
CONLL 2017
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks
CONLL 2017
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
EMNLP 2017
Neural Machine Translation with Source-Side Latent Graph Parsing
EMNLP 2017
Neural Discontinuous Constituency Parsing
EMNLP 2017
Stack-based Multi-layer Attention for Transition-based Dependency Parsing
EMNLP 2017
Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs
EMNLP 2017
The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms
CONLL 2017
Multi-Model and Crosslingual Dependency Analysis
CONLL 2017
A Learning Error Analysis for Structured Prediction with Approximate Inference
NIPS 2017
Semantic Dependency Parsing via Book Embedding
ACL 2017
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