Recognizing software bug-specific named entity in software bug repository

Recognizing software bug-specific named entity in software bug repository

main content:

1. Consider how to further identify bug named entities in the field of software bugs
2. Make a classification of bugs and consider the superposition relationship (differentiated by general, component, and special)
3. The model did not have much innovation, using CRF+Skip-gram
4. The overall process is as follows:
   

Corpus annotation

Based on the B2IO paradigm, using Brat ¹ tools

Annotated normal form

Reference

@inproceedings{DBLP:conf/iwpc/ZhouLSG18,
author = {Cheng Zhou and
Bin Li and
Xiaobing Sun and
Hongjing Guo},
title = {Recognizing software bug-specific named entity in software bug repository},
booktitle = {Proceedings of the 26th Conference on Program Comprehension, {ICPC}
2018, Gothenburg, Sweden, May 27-28, 2018},
pages = {108–119},
year = {2018},
crossref = {DBLP:conf/iwpc/2018},
url = {https://doi.org/10.1145/3196321.3196335},
doi = {10.1145/3196321.3196335},
timestamp = {Tue, 26 Feb 2019 17:40:20 +0100},
biburl = {https://dblp.org/rec/bib/conf/iwpc/ZhouLSG18},
bibsource = {dblp computer science bibliography, https://dblp.org}
}

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1. Brat: a Web-based Tool for NLP-Assisted Text Annotation. In EACL 2012 ↩︎