Answer Summarization for Technical Queries: Benchmark and New Approach

Chengran Yang; Bowen Xu; Ferdian Thung; Yucen Shi; Ting Zhang; Zhou Yang; Xin Zhou; Jieke Shi; Junda He; Donggyun Han; David Lo

doi:10.1145/3551349.3560421

Answer Summarization for Technical Queries: Benchmark and New Approach

Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, Donggyun Han, David Lo

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Downloads (Pure)

Original language	English
Title of host publication	Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery (ACM)
Pages	1-13
Number of pages	13
ISBN (Print)	9781450394758
DOIs	https://doi.org/10.1145/3551349.3560421
Publication status	Published - 5 Jan 2023

Publication series

Name	ASE '22
Publisher	Association for Computing Machinery

Keywords

Summarization
Pre-Trained Models
Question Retrieval

Access to Document

10.1145/3551349.3560421

Accepted ManuscriptAccepted author manuscript, 965 KB

Cite this

Yang, C., Xu, B., Thung, F., Shi, Y., Zhang, T., Yang, Z., Zhou, X., Shi, J., He, J., Han, D., & Lo, D. (2023). Answer Summarization for Technical Queries: Benchmark and New Approach. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (pp. 1-13). Article 8 (ASE '22). Association for Computing Machinery (ACM). https://doi.org/10.1145/3551349.3560421

@inproceedings{3ffe6a84355748e7888a6569bfbf06b0,

title = "Answer Summarization for Technical Queries: Benchmark and New Approach",

keywords = "Summarization, Pre-Trained Models, Question Retrieval",

author = "Chengran Yang and Bowen Xu and Ferdian Thung and Yucen Shi and Ting Zhang and Zhou Yang and Xin Zhou and Jieke Shi and Junda He and Donggyun Han and David Lo",

year = "2023",

month = jan,

day = "5",

doi = "10.1145/3551349.3560421",

language = "English",

isbn = "9781450394758",

series = "ASE '22",

publisher = "Association for Computing Machinery (ACM)",

pages = "1--13",

booktitle = "Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering",

address = "United States",

}

Yang, C, Xu, B, Thung, F, Shi, Y, Zhang, T, Yang, Z, Zhou, X, Shi, J, He, J, Han, D & Lo, D 2023, Answer Summarization for Technical Queries: Benchmark and New Approach. in Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering., 8, ASE '22, Association for Computing Machinery (ACM), New York, NY, USA, pp. 1-13. https://doi.org/10.1145/3551349.3560421

Answer Summarization for Technical Queries: Benchmark and New Approach. / Yang, Chengran; Xu, Bowen; Thung, Ferdian et al.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering. New York, NY, USA: Association for Computing Machinery (ACM), 2023. p. 1-13 8 (ASE '22).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Answer Summarization for Technical Queries

T2 - Benchmark and New Approach

AU - Yang, Chengran

AU - Xu, Bowen

AU - Thung, Ferdian

AU - Shi, Yucen

AU - Zhang, Ting

AU - Yang, Zhou

AU - Zhou, Xin

AU - Shi, Jieke

AU - He, Junda

AU - Han, Donggyun

AU - Lo, David

PY - 2023/1/5

Y1 - 2023/1/5

KW - Summarization

KW - Pre-Trained Models

KW - Question Retrieval

U2 - 10.1145/3551349.3560421

DO - 10.1145/3551349.3560421

M3 - Conference contribution

SN - 9781450394758

T3 - ASE '22

SP - 1

EP - 13

BT - Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

PB - Association for Computing Machinery (ACM)

CY - New York, NY, USA

ER -