Zhisong Zhang

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards More Efficient Insertion Transformer with Fractional Positional Encoding.

[BibT_eX]

[DOI]

Yizhe Zhang

Bill Dolan

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Neural Character-Level Syntactic Parsing for Chinese.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

A Survey of Active Learning for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

IA-CNN: A generalised interpretable convolutional neural network with attention mechanism.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Comparing Span Extraction Methods for Semantic Role Labeling.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021

2020

Neural Polysynthetic Language Modelling.

[BibT_eX]

[DOI]

CoRR, 2020

An Empirical Exploration of Local Ordering Pre-training for Structured Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Incorporating a Local Translation Mechanism into Non-autoregressive Translation.

[BibT_eX]

[DOI]

Xiang Kong

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Two-Step Approach for Implicit Event Argument Detection.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation.

[BibT_eX]

[DOI]

Junpei Zhou

Zecong Hu

Proceedings of the Fourth Conference on Machine Translation, 2019

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages.

[BibT_eX]

[DOI]

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing.

[BibT_eX]

[DOI]

Xuezhe Ma

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Choosing Transfer Languages for Cross-Lingual Learning.

[BibT_eX]

[DOI]

Antonios Anastasopoulos

Patrick Littell

Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections.

[BibT_eX]

[DOI]

Junxian He

Taylor Berg-Kirkpatrick

Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing.

[BibT_eX]

[DOI]

CoRR, 2018

Exploring Recombination for Efficient Decoding of Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Character-level Dependency Parsing for Chinese.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Transition-based System for Universal Dependency Parsing.

[BibT_eX]

[DOI]

Hao Wang

Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Fast and Accurate Neural Word Segmentation for Chinese.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Shallow Discourse Parsing Using Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, 2016

Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings.

[BibT_eX]

[DOI]

Proceedings of the COLING 2016, 2016

Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

High-order Graph-based Neural Dependency Parsing.

[BibT_eX]

[DOI]