@inproceedings{aina-etal-2018-amore,
title = "{AMORE}-{UPF} at {S}em{E}val-2018 Task 4: {B}i{LSTM} with Entity Library",
author = "Aina, Laura and
Silberer, Carina and
Sorodoc, Ionut-Teodor and
Westera, Matthijs and
Boleda, Gemma",
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S18-1008",
doi = "10.18653/v1/S18-1008",
pages = "65--69",
abstract = "This paper describes our winning contribution to SemEval 2018 Task 4: Character Identification on Multiparty Dialogues. It is a simple, standard model with one key innovation, an entity library. Our results show that this innovation greatly facilitates the identification of infrequent characters. Because of the generic nature of our model, this finding is potentially relevant to any task that requires the effective learning from sparse or imbalanced data.",
}
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<abstract>This paper describes our winning contribution to SemEval 2018 Task 4: Character Identification on Multiparty Dialogues. It is a simple, standard model with one key innovation, an entity library. Our results show that this innovation greatly facilitates the identification of infrequent characters. Because of the generic nature of our model, this finding is potentially relevant to any task that requires the effective learning from sparse or imbalanced data.</abstract>
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%0 Conference Proceedings
%T AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library
%A Aina, Laura
%A Silberer, Carina
%A Sorodoc, Ionut-Teodor
%A Westera, Matthijs
%A Boleda, Gemma
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F aina-etal-2018-amore
%X This paper describes our winning contribution to SemEval 2018 Task 4: Character Identification on Multiparty Dialogues. It is a simple, standard model with one key innovation, an entity library. Our results show that this innovation greatly facilitates the identification of infrequent characters. Because of the generic nature of our model, this finding is potentially relevant to any task that requires the effective learning from sparse or imbalanced data.
%R 10.18653/v1/S18-1008
%U https://aclanthology.org/S18-1008
%U https://doi.org/10.18653/v1/S18-1008
%P 65-69
Markdown (Informal)
[AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library](https://aclanthology.org/S18-1008) (Aina et al., SemEval 2018)
ACL
- Laura Aina, Carina Silberer, Ionut-Teodor Sorodoc, Matthijs Westera, and Gemma Boleda. 2018. AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 65–69, New Orleans, Louisiana. Association for Computational Linguistics.