@inproceedings{filice-etal-2017-kelp,
title = "{K}e{LP} at {S}em{E}val-2017 Task 3: Learning Pairwise Patterns in Community Question Answering",
author = "Filice, Simone and
Da San Martino, Giovanni and
Moschitti, Alessandro",
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/S17-2053",
doi = "10.18653/v1/S17-2053",
pages = "326--333",
abstract = "This paper describes the KeLP system participating in the SemEval-2017 community Question Answering (cQA) task. The system is a refinement of the kernel-based sentence pair modeling we proposed for the previous year challenge. It is implemented within the Kernel-based Learning Platform called KeLP, from which we inherit the team{'}s name. Our primary submission ranked first in subtask A, and third in subtasks B and C, being the only systems appearing in the top-3 ranking for all the English subtasks. This shows that the proposed framework, which has minor variations among the three subtasks, is extremely flexible and effective in tackling learning tasks defined on sentence pairs.",
}
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%0 Conference Proceedings
%T KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering
%A Filice, Simone
%A Da San Martino, Giovanni
%A Moschitti, Alessandro
%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 filice-etal-2017-kelp
%X This paper describes the KeLP system participating in the SemEval-2017 community Question Answering (cQA) task. The system is a refinement of the kernel-based sentence pair modeling we proposed for the previous year challenge. It is implemented within the Kernel-based Learning Platform called KeLP, from which we inherit the team’s name. Our primary submission ranked first in subtask A, and third in subtasks B and C, being the only systems appearing in the top-3 ranking for all the English subtasks. This shows that the proposed framework, which has minor variations among the three subtasks, is extremely flexible and effective in tackling learning tasks defined on sentence pairs.
%R 10.18653/v1/S17-2053
%U https://aclanthology.org/S17-2053
%U https://doi.org/10.18653/v1/S17-2053
%P 326-333
Markdown (Informal)
[KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering](https://aclanthology.org/S17-2053) (Filice et al., SemEval 2017)
ACL