Work

NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System

Year: 2018

Type: conference-paper

Abstract: We present new data and semantic parsing methods for the problem of mapping English sentences to Bash commands (NL2Bash).Our long-term goal is to enable any user to perform operations such as file manipulation, search, and application-specific scripting by simply stating their goals in English.We take a first step in this domain, by providing a new dataset of challenging but commonly used Bash commands and expert-written English descriptions, along with baseline methods to establish performance levels on this task.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/42er6x4bacdf

Authors: Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst

Institution: University of Washington

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Tencent, Defense Advanced Research Projects Agency, Army Research Office

Awards: G1746478, RI: Medium: Broad-Coverage Semantic Parsing: Linguistic Representation Learning from Crowd-Scale Data