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Mikel Artetxe awarded in Hackaton on Language Technologies organized by Red.es

Yesterday, Mikel Artetxe was awarded in Barcelona with the second prize in the First Hackaton on Language Technologies organized by Red.es in collaboration with  the Spanish Plan to promote Language Technology managed by the Spanish Government’s SESIAD agency.

This hackathon was organized in the context of  “4 Years From Now” (4YFN), the bussines platform created by […]

Nice results in Codefestdss2016 projects

This a list of the aims of the projects in CODEFEST 2016 summer school and the results achieved by each of them. Further information can be found in Codefest_dss2016 website.

Quiz Bowl: Multilingual question-answering for trivia games with Wikipedia

The QUIZ Bowl team was the winner in our codefest competition. Congratulations!

Aims:The question-answering trivia quiz project is […]

Codefest summer­lab aims to revitalise resource ­scarce language (Donostia, July 4-8)

Donostia / San Sebastian 2016 European Capital of Culture represents an enormous opportunity to turn the focus on culture and dialogue as the roads towards improved coexistence. Thus, Donostia / San Sebastian aims to become a benchmark in the sphere of creative processes and culture.

Inside the programme, we are organising Codefest: Coding for Language Communities […]

Nice results from the OpeNER Hackathon

Picture of the hackathon (www.newsreader-project.eu)

 

Some IXA members participated in the Natural Language Processing, Text Mining and Big Data Hackathon organised by our colleagues from the OpeNER project. And they obtained excellent results:

10 projects were organized.
Three projects were tied for third place.
The project presented by Iñaki San Vicente (“Last Minute”) finished second … 😉
The […]

OpeNER Hackathon (Text Mining & Big Data). Amsterdam, July 2, 2013

From the OpeNER project we are inviting coders, linguists and (product) designers to join us for a one day Hackathon around Natural Language Technology and Text Mining large datasets (e.g. Sentiment analysis, Named Entity Recognition).

There’s a large collection of state of the art webservices, datasets and APIs available of which all “core” developers are […]