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STACC: Code Comment Classification using SentenceTransformers

Research article (2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE), 2023) · cited 12× · AI/ML
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STACC: Code Comment Classification using SentenceTransformers

Summary

STACC: Code Comment Classification using SentenceTransformers is a scholarly article[1].

Key Facts

  • STACC: Code Comment Classification using SentenceTransformers's instance of is recorded as scholarly article[2].

Related Entities

Arie van Deursen

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). STACC: Code Comment Classification using SentenceTransformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/stacc-code-comment-classification-using-sentencetransformers
MLA “STACC: Code Comment Classification using SentenceTransformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stacc-code-comment-classification-using-sentencetransformers.
BibTeX @misc{4ortxyz_stacc-code-comment-classification-using-sentencetransformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{STACC: Code Comment Classification using SentenceTransformers}}, year = {2026}, url = {https://4ort.xyz/entity/stacc-code-comment-classification-using-sentencetransformers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): STACC: Code Comment Classification using SentenceTransformers — https://4ort.xyz/entity/stacc-code-comment-classification-using-sentencetransformers (retrieved 2026-05-24)

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