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Summarizing Source Code using a Neural Attention Model

Research article (Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016) · cited 722× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
2016as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Summarizing Source Code using a Neural Attention Modelas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2516621648as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.18653/V1/P16-1195as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 1
Ioannis Konstas
← Author of 1
Ioannis Konstas
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Summary

Summarizing Source Code using a Neural Attention Model is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Summarizing Source Code using a Neural Attention Model. Retrieved October 17, 2026, from https://4ort.xyz/entity/summarizing-source-code-using-a-neural-attention-model
MLA “Summarizing Source Code using a Neural Attention Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 17 Oct. 2026, https://4ort.xyz/entity/summarizing-source-code-using-a-neural-attention-model.
BibTeX @misc{4ortxyz_summarizing-source-code-using-a-neural-attention-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Summarizing Source Code using a Neural Attention Model}}, year = {2026}, url = {https://4ort.xyz/entity/summarizing-source-code-using-a-neural-attention-model}, note = {Accessed: 2026-10-17}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Summarizing Source Code using a Neural Attention Model — https://4ort.xyz/entity/summarizing-source-code-using-a-neural-attention-model (retrieved 2026-10-17)

Canonical URL: https://4ort.xyz/entity/summarizing-source-code-using-a-neural-attention-model · Last refreshed: