Papers by Fuxiang Chen

2 papers
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions (D19-1)

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Challenge: Existing studies focus on generating SQL codes from natural language questions . however, questions cover more diverse tasks including table manipulation or performance issues .
Approach: They propose a task to generate pSQL codes from natural language questions . they define two new metrics suitable for the task, Canonical-BLEU and SQL-BLUE .
Outcome: The proposed task generates well-formed queries on under-specified database issues.
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations (2021.findings-emnlp)

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Challenge: Existing work on code summarization shows that code descriptions are difficult to generate for developers unfamiliar with the code base.
Approach: They propose a multi-task approach that trains two similar tasks to generate code descriptions for each line of code.
Outcome: The proposed model improves over baselines and achieves the new state-of-the-art.

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