CoNLL 2017 Shared Task - Automatically Annotated Raw Texts and Word Embeddings

Title:

CoNLL 2017 Shared Task - Automatically Annotated Raw Texts and Word Embeddings

Creator:

Ginter, Filip, Hajič, Jan, Luotolahti, Juhani, Straka, Milan, and Zeman, Daniel

Publisher:

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Identifier:

http://hdl.handle.net/11234/1-1989

Subject:

CoNLL 2017, word embeddings, and automatic annotation

Type:

text, mlmodel, and languageDescription

Description:

Automatic segmentation, tokenization and morphological and syntactic annotations of raw texts in 45 languages, generated by UDPipe (http://ufal.mff.cuni.cz/udpipe), together with word embeddings of dimension 100 computed from lowercased texts by word2vec (https://code.google.com/archive/p/word2vec/). For each language, automatic annotations in CoNLL-U format are provided in a separate archive. The word embeddings for all languages are distributed in one archive. Note that the CC BY-SA-NC 4.0 license applies to the automatically generated annotations and word embeddings, not to the underlying data, which may have different license and impose additional restrictions. Update 2018-09-03 =============== Added data in the 4 “surprise languages” from the 2017 ST: Buryat, Kurmanji, North Sami and Upper Sorbian. This has been promised before, during CoNLL-ST 2018 we gave the participants a link to this record saying the data was here. It wasn't, sorry. But now it is.

Language:

Multiple languages

Rights:

Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
http://creativecommons.org/licenses/by-nc-sa/4.0/
PUB

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2017-03-15