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Pairwise FastText Classifier for Entity Disambiguation

Yu, Cheng; Chu, Bing; Ram, Rohit; Aichinger, James; Qu, Lizhen; Suominen, Hanna

Description

For the Australasian Language Technology Association (ALTA) 2016 Shared Task, we devised Pairwise FastText Classifier (PFC), an efficient embedding-based text classifier, and used it for entity disambiguation. Compared with a few baseline algorithms, PFC achieved a higher F1 score at 0.72 (under the team name BCJR). To generalise the model, we also created a method to bootstrap the training set deterministically without human labelling and at no financial cost. By releasing PFC and the dataset...[Show more]

CollectionsANU Research Publications
Date published: 2016
Type: Conference paper
URI: http://hdl.handle.net/1885/154089
Source: Proceedings of Australasian Language Technology Association Workshop 2016 Workshop
Access Rights: Open Access

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