Programming With Unrestricted Natural Language

By David Vadas, James Richard Curran. 2005

27 citations recorded by the source corpus.

Subfields: Natural Language Processing, Code Generation & Program Synthesis

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Graham Neubig
2. Mohit Bansal
3. Percy Liang
4. Phil Blunsom
5. Luke S. Zettlemoyer
6. Mirella Lapata
7. Kyunghyun Cho
8. Jonathan Berant

In Code Generation & Program Synthesis

1. Frank F. Xu
2. Graham Neubig
3. Bogdan Vasilescu
4. Percy Liang
5. A. Aiken
6. Oded Padon
7. Angelica Chen

Citations in the corpus

• SPoC: Search-based Pseudocode to Code (2019, background): “Previous work on executable semantic parsing mainly focuses on translating short text descriptions to a one-line program [42, 35, 43, 44, 21, 8], and while recent work explored generating longer programs from text descriptions [22, 40, 29, 15, 16, 14], these programs are mostly evaluated on…”
• Latent Predictor Networks for Code Generation (2016, background): “The work in natural language programming (Vadas and Curran, 2005; Manshadi et al., 2013), where users write lines of code from natural language, is also related to our work.”
• In-IDE Code Generation from Natural Language: Promise and Challenges (2021, methodology): “, converting English into Java [91] and Python [109].”