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Best Paper Award on CoNLL2018

Last week our colleagues Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, and Eneko Agirre were the recipients of the Best Paper Award in the 22nd Conference on Computational Natural Language Learning (CoNLL 2018) for the paper “Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation”.

Congratulations!

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Talk: Neural Networks and Linguistics. Talking Past Each Other? (M. Hulden, 2018-11-08)

Speaker: Mans Hulden, University of Colorado. When: Thursday, 8 November 12:00 – 1:00pm Where:Ada Lovelace aretoan.

Description: Neural networks have led to previously unimaginable advances in NLP engineering tasks. The main criticism against them from a linguistic point of view is that neural models – while fine for “language engineering tasks” – are thought […]

Best Thesis Award in SEPLN (Aitor Gonzalez, 2018-09-13)

Last September Aitor Gonzalez Agirre was awarded with the best MSc thesis Award 2018 by the SEPLN association. Congratulations to Aitor and to his supervisors Eneko Agirre and German Rigau.

Aitor is now working at the Barcelona Supercomputing Center.

The abstract of his thesis entitled “Computational Models for Semantic Textual Similarity” is the following:

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