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Papers
Semi-supervised Autoencoding Projective Dependency Parsing
COLING 2020
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding
COLING 2020
Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations
COLING 2020
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
AAAI 2020
Semi-supervised Parsing with a Variational Autoencoding Parser
ACL 2020
SG-Net: Syntax-Guided Machine Reading Comprehension
AAAI 2020
Some Languages Seem Easier to Parse Because Their Treebanks Leak
EMNLP 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
ACL 2020
Statistical Deep Parsing for Spanish Using Neural Networks
ACL 2020
Syntactically Look-Ahead Attention Network for Sentence Compression
AAAI 2020
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks
ACL 2020
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation
EMNLP 2020
The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task
ACL 2020
The Importance of Category Labels in Grammar Induction with Child-directed Utterances
ACL 2020
Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers
COLING 2020
Transition-based Parsing with Stack-Transformers
EMNLP 2020
Treebank Embedding Vectors for Out-of-Domain Dependency Parsing
ACL 2020
Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task
ACL 2020
UDapter: Language Adaptation for Truly Universal Dependency Parsing
EMNLP 2020
UDon2: a library for manipulating Universal Dependencies trees
COLING 2020
Universal Dependencies According to BERT: Both More Specific and More General
EMNLP 2020
Universal Dependencies for Manx Gaelic
COLING 2020
Universal Dependency Treebank for Xibe
COLING 2020
Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders
EMNLP 2020
UNT Linguistics at SemEval-2020 Task 12: Linear SVC with Pre-trained Word Embeddings as Document Vectors and Targeted Linguistic Features
SemEval 2020