top | item 12329094 Facebook AI Research Open Sources fastText 121 points| Nikhil_teja | 9 years ago |research.facebook.com | reply 5 comments order hn newest [+] [-] Radim|9 years ago|reply Jupyter notebook with some numbers on performance and accuracy of fastText:https://github.com/jayantj/gensim/blob/fast_text_notebook/do...This compares fastText against the word2vec implementation in gensim, on the syntactic/semantic word analogy task.(raw pull request with comments: https://github.com/RaRe-Technologies/gensim/pull/815) [+] [-] nl|9 years ago|reply Note that this is only looking at the embeddings side of FastText (which looks quite impressive).The classification side is equally interesting, and is better compared to things like VW, eg http://nlpers.blogspot.com.au/2016/08/fast-easy-baseline-tex...VW is a pretty strong baseline here, so equaling it is a good accomplishment. [+] [-] wodenokoto|9 years ago|reply That notebook is great! thanks for sharing. [+] [-] minimaxir|9 years ago|reply Previous discussion on fasttext: https://news.ycombinator.com/item?id=12226988This submission is apparently the official announcement. [+] [-] peeyek|9 years ago|reply Link to the python interface https://pypi.python.org/pypi/fasttext [+] [-] unknown|9 years ago|reply [deleted]
[+] [-] Radim|9 years ago|reply Jupyter notebook with some numbers on performance and accuracy of fastText:https://github.com/jayantj/gensim/blob/fast_text_notebook/do...This compares fastText against the word2vec implementation in gensim, on the syntactic/semantic word analogy task.(raw pull request with comments: https://github.com/RaRe-Technologies/gensim/pull/815) [+] [-] nl|9 years ago|reply Note that this is only looking at the embeddings side of FastText (which looks quite impressive).The classification side is equally interesting, and is better compared to things like VW, eg http://nlpers.blogspot.com.au/2016/08/fast-easy-baseline-tex...VW is a pretty strong baseline here, so equaling it is a good accomplishment. [+] [-] wodenokoto|9 years ago|reply That notebook is great! thanks for sharing.
[+] [-] nl|9 years ago|reply Note that this is only looking at the embeddings side of FastText (which looks quite impressive).The classification side is equally interesting, and is better compared to things like VW, eg http://nlpers.blogspot.com.au/2016/08/fast-easy-baseline-tex...VW is a pretty strong baseline here, so equaling it is a good accomplishment.
[+] [-] minimaxir|9 years ago|reply Previous discussion on fasttext: https://news.ycombinator.com/item?id=12226988This submission is apparently the official announcement.
[+] [-] Radim|9 years ago|reply
https://github.com/jayantj/gensim/blob/fast_text_notebook/do...
This compares fastText against the word2vec implementation in gensim, on the syntactic/semantic word analogy task.
(raw pull request with comments: https://github.com/RaRe-Technologies/gensim/pull/815)
[+] [-] nl|9 years ago|reply
The classification side is equally interesting, and is better compared to things like VW, eg http://nlpers.blogspot.com.au/2016/08/fast-easy-baseline-tex...
VW is a pretty strong baseline here, so equaling it is a good accomplishment.
[+] [-] wodenokoto|9 years ago|reply
[+] [-] minimaxir|9 years ago|reply
This submission is apparently the official announcement.
[+] [-] peeyek|9 years ago|reply
[+] [-] unknown|9 years ago|reply
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