50 citations · 66 across the 3 of their papers we have counts for
5 papers
Hybrid Ranking Network for Text-to-SQL
Qin Lyu, Kaushik Chakrabarti, Shobhit Hathi +3
In this paper, we study how to leverage pre-trained language models in Text-to-SQL. We argue that previous approaches under utilize the base language models by concatenating all co…
TableQnA: Answering List Intent Queries With Web Tables
Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri +2
The web contains a vast corpus of HTML tables. They can be used to provide direct answers to many web queries. We focus on answering two classes of queries with those tables: those…
Open Domain Question Answering Using Web Tables
Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri +1
Tables extracted from web documents can be used to directly answer many web search queries. Previous works on question answering (QA) using web tables have focused on factoid queri…
X-SQL: reinforce schema representation with context
Pengcheng He, Yi Mao, Kaushik Chakrabarti +1
In this work, we present X-SQL, a new network architecture for the problem of parsing natural language to SQL query. X-SQL proposes to enhance the structural schema representation…
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles
Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti +3
We present a sequence-to-action parsing approach for the natural language to SQL task that incrementally fills the slots of a SQL query with feasible actions from a pre-defined inv…