Lingpeng Kong

According to our database1, Lingpeng Kong authored at least 28 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Better Document-Level Machine Translation with Bayes' Rule.
Trans. Assoc. Comput. Linguistics, 2020

Syntactic Structure Distillation Pretraining For Bidirectional Encoders.
CoRR, 2020

A Mutual Information Maximization Perspective of Language Representation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Putting Machine Translation in Context with the Noisy Channel Model.
CoRR, 2019

Learning and Evaluating General Linguistic Intelligence.
CoRR, 2019

Episodic Memory in Lifelong Language Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Smoothing in Recurrent Neural Network Language Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Sentence Encoding with Tree-constrained Relation Networks.
CoRR, 2018

Neural Phrase-to-Phrase Machine Translation.
CoRR, 2018

2017
End-to-End Neural Segmental Models for Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2017

DyNet: The Dynamic Neural Network Toolkit.
CoRR, 2017

Multi-task Learning with CTC and Segmental CRF for Speech Recognition.
CoRR, 2017

DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks.
CoRR, 2017

SyntaxNet Models for the CoNLL 2017 Shared Task.
CoRR, 2017

Multitask Learning with CTC and Segmental CRF for Speech Recognition.
Proceedings of the Interspeech 2017, 2017

What Do Recurrent Neural Network Grammars Learn About Syntax?
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Segmental Recurrent Neural Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016

Segmental Recurrent Neural Networks for End-to-End Speech Recognition.
Proceedings of the Interspeech 2016, 2016

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Document Context Language Models.
CoRR, 2015

Transforming Dependencies into Phrase Structures.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Bayesian Optimization of Text Representations.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer.
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing, 2015

2014
An Empirical Comparison of Parsing Methods for Stanford Dependencies.
CoRR, 2014

Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Dependency Parser for Tweets.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2011
Improving Chinese Dependency Parsing with Self-Disambiguating Patterns.
Proceedings of the International Conference on Asian Language Processing, 2011

Formalization and Rules for Recognition of Satirical Irony.
Proceedings of the International Conference on Asian Language Processing, 2011


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