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Understanding

7,071 papers (37 classified directly here)

Subtopics

Semantic Analysis (2,986) Named Entity Recognition (2,041) Parsing (978) Syntax (773) Coreference Resolution (439) Part-of-Speech Tagging (291) Semantics (143) Morphology (110)

Papers per year

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Papers (including subtopics)

Verification, Reproduction and Replication of NLP Experiments: a Case Study on Parsing Universal Dependencies COLING 2020
From LFG To UD: A Combined Approach COLING 2020
Identifying and Handling Cross-Treebank Inconsistencies in UD: A Pilot Study COLING 2020
Composing Byte-Pair Encodings for Morphological Sequence Classification COLING 2020
Configurable Dependency Tree Extraction from CCG Derivations COLING 2020
Unifying the Treatment of Preposition-Determiner Contractions in German Universal Dependencies Treebanks COLING 2020
Annotation Issues in Universal Dependencies for Korean and Japanese COLING 2020
Exploring diachronic syntactic shifts with dependency length: the case of scientific English COLING 2020
UDon2: a library for manipulating Universal Dependencies trees COLING 2020
Annotating MWEs in the Irish UD Treebank COLING 2020
I’ve got a construction looks funny – representing and recovering non-standard constructions in UD COLING 2020
Universal Dependencies for Manx Gaelic COLING 2020
Variation in Universal Dependencies annotation: A token-based typological case study on adpossessive constructions COLING 2020
Dealing with dialectal variation in the construction of the Basque historical corpus COLING 2020
Recycling and Comparing Morphological Annotation Models for Armenian Diachronic-Variational Corpus Processing COLING 2020
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition COLING 2020
Multi-dialect Arabic BERT for Country-level Dialect Identification COLING 2020
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation COLING 2020
Contextual Embeddings for Arabic-English Code-Switched Data COLING 2020
Neural Proof Nets CONLL 2020
On the Frailty of Universal POS Tags for Neural UD Parsers CONLL 2020
Classifying Syntactic Errors in Learner Language CONLL 2020
Finding The Right One and Resolving it CONLL 2020
Identifying Incorrect Labels in the CoNLL-2003 Corpus CONLL 2020
Relations between comprehensibility and adequacy errors in machine translation output CONLL 2020