activity
20192021
most citedMulti-Stage Document Ranking with BERT

200 citations · 219 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2021

Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface

Peng Xu, Wenjie Zi, Hamidreza Shahidi +7

A natural language database interface (NLDB) can democratize data-driven insights for non-technical users. However, existing Text-to-SQL semantic parsers cannot achieve high enough…

cs.CL2021

A Globally Normalized Neural Model for Semantic Parsing

Chenyang Huang, Wei Yang, Yanshuai Cao +2

In this paper, we propose a globally normalized model for context-free grammar (CFG)-based semantic parsing. Instead of predicting a probability, our model predicts a real-valued s…

cs.CL2020

Optimizing Deeper Transformers on Small Datasets

Peng Xu, Dhruv Kumar, Wei Yang +6

It is a common belief that training deep transformers from scratch requires large datasets. Consequently, for small datasets, people usually use shallow and simple additional layer…

cs.CL202017 cited

Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents

Ruixue Zhang, Wei Yang, Luyun Lin +7

Techniques for automatically extracting important content elements from business documents such as contracts, statements, and filings have the potential to make business operations…

cs.CL2020

Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models

Silin Gao, Zhijian Ou, Wei Yang +1

There has been a long recognition that discrete features (n-gram features) and neural network based features have complementary strengths for language models (LMs). Improved perfor…