best paper award of the CoNLL 2018 conference
2018
Deskribapena:
"Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation" artikuluak CoNLL 2018 kongresuko Best Paper Award saria irabazi zuen, Bruselasen.
Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre (2018) Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018), pages 282–291. Brussels, Belgium, October 31 - November 1, 2018
Deskribapena:
Our work "Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation" received the Best Paper Award in CoNLL 2018 conference, in Brussels.
Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre (2018) Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018), pages 282–291. Brussels, Belgium, October 31 - November 1, 2018
Nori:
Eneko Agirre
Mikel Artetxe
Gorka Labaka
Iñigo López
Nori:
Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre
tituloa:
CoNLL 2018 kongresuko artikulu onenaren saia (best paper award)