416 citations · 3k across the 127 of their papers we have counts for
8 papers · 1 filter
Knowledge-Aware Conversational Semantic Parsing Over Web Tables
Yibo Sun, Duyu Tang, Nan Duan +3
Conversational semantic parsing over tables requires knowledge acquiring and reasoning abilities, which have not been well explored by current state-of-the-art approaches. Motivate…
Knowledge Based Machine Reading Comprehension
Yibo Sun, Daya Guo, Duyu Tang +4
Machine reading comprehension (MRC) requires reasoning about both the knowledge involved in a document and knowledge about the world. However, existing datasets are typically domin…
Improving Question Answering by Commonsense-Based Pre-Training
Wanjun Zhong, Duyu Tang, Nan Duan +3
Although neural network approaches achieve remarkable success on a variety of NLP tasks, many of them struggle to answer questions that require commonsense knowledge. We believe th…
Question Generation from SQL Queries Improves Neural Semantic Parsing
Daya Guo, Yibo Sun, Duyu Tang +6
We study how to learn a semantic parser of state-of-the-art accuracy with less supervised training data. We conduct our study on WikiSQL, the largest hand-annotated semantic parsin…
Table-to-Text: Describing Table Region with Natural Language
Junwei Bao, Duyu Tang, Nan Duan +4
In this paper, we present a generative model to generate a natural language sentence describing a table region, e.g., a row. The model maps a row from a table to a continuous vecto…
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
Pan Lu, Lei Ji, Wei Zhang +3
Recently, Visual Question Answering (VQA) has emerged as one of the most significant tasks in multimodal learning as it requires understanding both visual and textual modalities. E…
Semantic Parsing with Syntax- and Table-Aware SQL Generation
Yibo Sun, Duyu Tang, Nan Duan +6
We present a generative model to map natural language questions into SQL queries. Existing neural network based approaches typically generate a SQL query word-by-word, however, a l…
Assertion-based QA with Question-Aware Open Information Extraction
Zhao Yan, Duyu Tang, Nan Duan +5
We present assertion based question answering (ABQA), an open domain question answering task that takes a question and a passage as inputs, and outputs a semi-structured assertion…