Wei Yang

Affiliations:
  • University of Waterloo, Borealis AI, ON, Canada


According to our database1, Wei Yang authored at least 21 papers between 2017 and 2021.

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Bibliography

2021
Hierarchical Neural Data Synthesis for Semantic Parsing.
CoRR, 2021

TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Optimizing Deeper Transformers on Small Datasets.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Globally Normalized Neural Model for Semantic Parsing.
Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021

2020
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing.
CoRR, 2020

Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents.
CoRR, 2020

Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

2019
Multi-Stage Document Ranking with BERT.
CoRR, 2019

Document Expansion by Query Prediction.
CoRR, 2019

Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering.
CoRR, 2019

Simple Applications of BERT for Ad Hoc Document Retrieval.
CoRR, 2019

Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

End-to-End Open-Domain Question Answering with BERTserini.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Applying BERT to Document Retrieval with Birch.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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