Tao Lei

Affiliations:
  • ASAPP, Inc., New York, USA
  • Massachusetts Institute of Technology, Cambridge, USA (PhD 2017)


According to our database1, Tao Lei authored at least 30 papers between 2012 and 2022.

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Bibliography

2022
SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Nutribullets Hybrid: Multi-document Health Summarization.
CoRR, 2021

Nutri-bullets Hybrid: Consensual Multi-document Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Nutri-bullets: Summarizing Health Studies by Composing Segments.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Structured Pruning of Large Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Autoregressive Knowledge Distillation through Imitation Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interactive Classification by Asking Informative Questions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Building a Production Model for Retrieval-Based Chatbots.
CoRR, 2019

Metric Learning for Dynamic Text Classification.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018
Adversarial Domain Adaptation for Duplicate Question Detection.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Simple Recurrent Units for Highly Parallelizable Recurrence.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Interpretable neural models for natural language processing.
PhD thesis, 2017

Style Transfer from Non-Parallel Text by Cross-Alignment.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deriving Neural Architectures from Sequence and Graph Kernels.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Making Dependency Labeling Simple, Fast and Accurate.
Proceedings of the NAACL HLT 2016, 2016

Semi-supervised Question Retrieval with Gated Convolutions.
Proceedings of the NAACL HLT 2016, 2016

Rationalizing Neural Predictions.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning to refine text based recommendations.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Erratum: "Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment".
Trans. Assoc. Comput. Linguistics, 2015

Denoising Bodies to Titles: Retrieving Similar Questions with Recurrent Convolutional Models.
CoRR, 2015

High-Order Low-Rank Tensors for Semantic Role Labeling.
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

Molding CNNs for text: non-linear, non-consecutive convolutions.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment.
Trans. Assoc. Comput. Linguistics, 2014

Greed is Good if Randomized: New Inference for Dependency Parsing.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Low-Rank Tensors for Scoring Dependency Structures.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
From Natural Language Specifications to Program Input Parsers.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Learning High-Level Planning from Text.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012


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