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2. How to use the Wikipedia Miner API in python - Quora
Description: Jan 27, 2016 · If all you need to do is wikify or tag a snippet of text then you may consider using Open Calais by Thomson Reuters. They have an easy to use API and a cool tagging engine. There used to be an API provided by Waikato University (same link which yo...
4. Wikipedia talk:WikiProject Wikify/Archive 6 - Wikipedia
Description: Sometimes, the backlogs of articles to be dealt with feels overwhelming. I'd just like to point to Wikipedia:Unreferenced BLP Rescue which, over the course of about 20 months, has managed what many thought would not be possible; the backlog was chipped away to none. We've got a lot of articles to wikify, but with some effort, we can make a difference!
5. nlp - Entity Extraction/Recognition with free tools while ...
Description: Dec 08, 2017 · The problem you are facing in the 'wicket' example is called entity disambiguation, not entity extraction/recognition (NER).NER can be useful but only when the categories are specific enough. Most NER systems doesn't have enough granularity to distinguish between a sport and a software project (both types would fall outside the typically recognized types: person, org, location).
6. Antonyms are similar: Towards paradigmatic association ...
Description: SimLex-999 is a widely used lexical resource for tracking progress in word similarity computation. It anchors similarity in synonymy, while other researchers such as Agirre et al. (2009) adopt broader similarity definition, involving also hyponymy and antonymy relations.
7. 'Big Data': Big Gaps of Knowledge in the field of Internet ...
Description: “Big Data”: Big Gaps of Knowledge in the Field of Internet Science Chris Snijders1, Uwe Matzat1, Ulf-Dietrich Reips2,3 1Eindhoven University of Technology, The Netherlands, 2University of Deusto, Spain, 3IKERBASQUE, Basque Foundation for Science, Spain
8. Get Started | ADAMS
Description: First steps. Check out the manual adams-core-manual.pdf that comes with ADAMS:. Using ADAMS Flows Creating flows. This section discusses how to create your first Hello World! flows.. The first part of the manual, Using ADAMS, covers most of the core functionality of ADAMS, like control actors, variables, storage, debugging, etc.
9. hierarchical classification + topic model training data ...
Description: Jan 15, 2014 · I want to classify large numbers (100K to 1M+) of smallish internet-based articles (tweets, blog articles, news, etc) by topic. Toward this goal, I have been looking for labeled training data documents which I could use to build classifier model(s).
10. EAD: Encoded Archival Description (EAD Official Site ...
Description: Apr 10, 2019 · Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Standards of the Society of American Archivists, in partnership with the Library of Congress.. Version EAD3 - Current . EAD3 Version 1.1.0 [GitHub] ; EAD3 Schemas and DTD