Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation — mentioned by ikuyamada

Mon, 24 Dec 2018 01:20:18 GMT

My past paper describes an entity linking method based on Wikipedia2Vec: https://arxiv.org/abs/1601.01343 You need to extract entity names using an NER software (e.g., SpaCy, Stanford NER), and resolve the names to knowledge base entities using the entity linking method.

Paper and discussion history. A mention is not an endorsement.

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation — mentioned by ikuyamada

Fri, 03 Aug 2018 05:51:52 GMT

Thanks :) 1) I think learning entity embeddings using the Doc2Vec (paragraph vector) model is an interesting idea, but we did not test it. 2) This tool was initially developed to address the entity linking task. Mapping words and entities into a same vector space enables to model the contextual information that is useful for entity linking. For details, please refer to this paper: Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation: https://arxiv.org/pdf/1601.01343.pdf

Paper and discussion history. A mention is not an endorsement.

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation · HackerPapers discussions

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation — mentioned by ikuyamada

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation — mentioned by ikuyamada