AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library
May 14, 2018 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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Authors
Laura Aina, Carina Silberer, Ionut-Teodor Sorodoc, Matthijs Westera, Gemma Boleda
arXiv ID
1805.05370
Category
cs.CL: Computation & Language
Citations
4
Venue
International Workshop on Semantic Evaluation
Last Checked
5 months ago
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 effective learning from sparse or unbalanced data.
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