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20172023
most citedCodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

416 citations · 855 across the 28 of their papers we have counts for

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Showing 2018 · cs.CLShow all

6 papers · 2 filters

cs.CL2018

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…

cs.CL2018

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…

cs.CL2018

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…

cs.CL2018

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…

cs.CL2018

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…

cs.CL2018★ 3 cited

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…