3 ms·
Right now I'm hoping to extract entities and relations between them to use as facts for relevant domain specific search and validation. Reading up the articles
by dartwing 9y ago
Right now I'm hoping to extract entities and relations between them to use as facts for relevant domain specific search and validation.
Reading up the articles, YCombinator included:
https://blog.ycombinator.com/how-to-get-into-natural-language-processing/ https://blog.ycombinator.com/how-to-get-into-natural-languag...
- gtani 9y agoI think these PIs at UIUC communicate clearly about all the processes necessary (Han wrote a good text on data mining, but probably outdated from 2011): http://xren7.web.engr.illinois.edu/www17-StructNet-part1.pdf http://xren7.web.engr.illinois.edu/www17-StructNet-part1.pdf http://xren7.web.engr.illinois.edu/cikm16-profile.pdf http://xren7.web.engr.illinois.edu/cikm16-profile.pdf Also solr/lucene/elastic indexes are good tools for filtering your inputs and deciding what the unit doc will be (sentence, paragraph, numbered section of research paper etc
- dartwing 9y agoThank you! Reading through the papers.
- gauravnsit 9y agoI am also trying to find relations from textual entities, could you suggest any good paper or book to read and good python library to apply this.
- dartwing 9y agoI am starting to play around with: https://github.com/tensorflow/models/tree/master/syntaxnet https://github.com/tensorflow/models/tree/master/syntaxnet I expect that I will be able to match capabilities of this service and customize it to my needs: https://cloud.google.com/natural-language/ https://cloud.google.com/natural-language/