Kevin Huang

Affiliations:

JD AI Research, Mountain View, CA, USA
Cornell University, Ithaca, NY, USA

According to our database¹, Kevin Huang authored at least 10 papers between 2018 and 2021.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2021

Entity and Evidence Guided Document-Level Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Variance-reduced First-order Meta-learning for Natural Language Processing Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Entity and Evidence Guided Relation Extraction for DocRED.

[BibT_eX]

[DOI]

CoRR, 2020

Improving Neural Language Generation with Spectrum Control.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification.

[BibT_eX]

[DOI]

CoRR, 2019

Relation Module for Non-answerable Prediction on Question Answering.

[BibT_eX]

[DOI]

CoRR, 2019

Relation Module for Non-Answerable Predictions on Reading Comprehension.

[BibT_eX]

[DOI]

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

2018

ParaNet - Using Dense Blocks for Early Inference.

[BibT_eX]

[DOI]

CoRR, 2018

Kevin Huang

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