@inproceedings{koreeda-etal-2017-bunji,
title = "bunji at {S}em{E}val-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features",
author = "Koreeda, Yuta and
Hashito, Takuya and
Niwa, Yoshiki and
Sato, Misa and
Yanase, Toshihiko and
Kurotsuchi, Kenzo and
Yanai, Kohsuke",
editor = "Bethard, Steven and
Carpuat, Marine and
Apidianaki, Marianna and
Mohammad, Saif M. and
Cer, Daniel and
Jurgens, David",
booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S17-2058",
doi = "10.18653/v1/S17-2058",
pages = "353--359",
abstract = "This paper describes a text-ranking system developed by bunji team in SemEval-2017 Task 3: Community Question Answering, Subtask A and C. The goal of the task is to re-rank the comments in a question-and-answer forum such that useful comments for answering the question are ranked high. We proposed a method that combines neural similarity features and hand-crafted comment plausibility features, and we modeled inter-comments relationship using conditional random field. Our approach obtained the fifth place in the Subtask A and the second place in the Subtask C.",
}
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<abstract>This paper describes a text-ranking system developed by bunji team in SemEval-2017 Task 3: Community Question Answering, Subtask A and C. The goal of the task is to re-rank the comments in a question-and-answer forum such that useful comments for answering the question are ranked high. We proposed a method that combines neural similarity features and hand-crafted comment plausibility features, and we modeled inter-comments relationship using conditional random field. Our approach obtained the fifth place in the Subtask A and the second place in the Subtask C.</abstract>
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%0 Conference Proceedings
%T bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features
%A Koreeda, Yuta
%A Hashito, Takuya
%A Niwa, Yoshiki
%A Sato, Misa
%A Yanase, Toshihiko
%A Kurotsuchi, Kenzo
%A Yanai, Kohsuke
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F koreeda-etal-2017-bunji
%X This paper describes a text-ranking system developed by bunji team in SemEval-2017 Task 3: Community Question Answering, Subtask A and C. The goal of the task is to re-rank the comments in a question-and-answer forum such that useful comments for answering the question are ranked high. We proposed a method that combines neural similarity features and hand-crafted comment plausibility features, and we modeled inter-comments relationship using conditional random field. Our approach obtained the fifth place in the Subtask A and the second place in the Subtask C.
%R 10.18653/v1/S17-2058
%U https://aclanthology.org/S17-2058
%U https://doi.org/10.18653/v1/S17-2058
%P 353-359
Markdown (Informal)
[bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features](https://aclanthology.org/S17-2058) (Koreeda et al., SemEval 2017)
ACL