Show HN: Wikipedia2Vec – A tool for learning embeddings of words and entities

Re:Show HN: Wikipedia2Vec – A tool for learning embeddings o... by ikuyamada on Thursday August 02, 2018 @11:26PM (#17677101)

We did not add Fasttext to our benchmarks because of a minor technical issue but we will work on it. Further, to conduct a fair comparison with ELMo, I think it is needed to use extrinsic tasks such as question answering and textual entailment.

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Re:Show HN: Wikipedia2Vec – A tool for learning embeddings o... by riku_iki on Friday August 03, 2018 @03:03PM (#17682658)

You can build very simple 100 lines benchmark e.g. doing IMDB dataset classification, and use ELMO and your embeddings, and see who will perform better..

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Re:Show HN: Wikipedia2Vec – A tool for learning embeddings o... by ikuyamada on Sunday August 05, 2018 @08:58PM (#17694468)

Thank you for your feedback! I am also interested in conducting experiments on extrinsic tasks such as text classification. In addition to word embeddings, Wikipedia2Vec also contains entity embeddings which are likely beneficial for these tasks, so I would like to design a model that uses both the word embeddings and entity embeddings.

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