Search Results for author: Sheena Panthaplackel

Found 8 papers, 3 papers with code

Updated Headline Generation: Creating Updated Summaries for Evolving News Stories

no code implementations ACL 2022 Sheena Panthaplackel, Adrian Benton, Mark Dredze

We propose the task of updated headline generation, in which a system generates a headline for an updated article, considering both the previous article and headline.

Headline generation

Learning to Generate Code Comments from Class Hierarchies

no code implementations24 Mar 2021 Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Raymond J. Mooney, Junyi Jessy Li, Milos Gligoric

Descriptive code comments are essential for supporting code comprehension and maintenance.

Leveraging Class Hierarchy for Code Comprehension

no code implementations NeurIPS Workshop CAP 2020 Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Li, Ray Mooney, Milos Gligoric

Object-oriented programming languages enable a hierarchical class structure, which provides rich contextual information to guide code comprehension and synthesis.

Deep Just-In-Time Inconsistency Detection Between Comments and Source Code

no code implementations4 Oct 2020 Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney

For extrinsic evaluation, we show the usefulness of our approach by combining it with a comment update model to build a more comprehensive automatic comment maintenance system which can both detect and resolve inconsistent comments based on code changes.

Copy that! Editing Sequences by Copying Spans

1 code implementation8 Jun 2020 Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt

Neural sequence-to-sequence models are finding increasing use in editing of documents, for example in correcting a text document or repairing source code.

Learning to Update Natural Language Comments Based on Code Changes

1 code implementation ACL 2020 Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney

We formulate the novel task of automatically updating an existing natural language comment based on changes in the body of code it accompanies.

Associating Natural Language Comment and Source Code Entities

no code implementations13 Dec 2019 Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li

Comments are an integral part of software development; they are natural language descriptions associated with source code elements.

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