VERTa: a linguistic approach to automatic machine translation evaluation

Autor: Jordi Atserias, Elisabet Comelles

Publikováno v: Language Resources and Evaluation. 53:57-86

Machine translation (MT) is directly linked to its evaluation in order to both compare different MT system outputs and analyse system errors so that they can be addressed and corrected. As a consequence, MT evaluation has become increasingly importan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0fc525067951e81d524b815e63a0e36f
https://doi.org/10.1007/s10579-018-9430-2

Using Wikipedia for Cross-Language Named Entity Recognition

Autor: Eraldo R. Fernandes, Ulf Brefeld, Jordi Atserias, Roi Blanco

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319290089
MSM/MUSE/SenseML

Named entity recognition and classification NERC is fundamental for natural language processing tasks such as information extraction, question answering, and topic detection. State-of-the-art NERC systems are based on supervised machine learning and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f82d84a41a6eb4b33104d83f4f5f8410
https://doi.org/10.1007/978-3-319-29009-6_1

[Untitled]

Autor: Eneko Agirre, German Rigau, Lluís Padró, 19020434 Hồ Mạnh Tân, Jordi Atserias batalla

Publikováno v: Computers and the Humanities. 34:103-108

This work combines a set of available techniques – whichcould be further extended – to perform noun sense disambiguation. We use several unsupervised techniques (Rigau et al., 1997) that draw knowledge from a variety of sources. In addition, we a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::129535b8e3338b9b1aecacfb6a0f25b6
https://doi.org/10.1023/a:1002486301447

VERTa participation in the WMT14 Metrics Task

Autor: Jordi Atserias, Elisabet Comelles

Publikováno v: WMT@ACL

In this paper we present VERTa, a linguistically-motivated metric that combines linguistic features at different levels. We provide the linguistic motivation on which the metric is based, as well as describe the different modules in VERTa and how the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b6189fa6824a5040085b0c8cef72b36
https://doi.org/10.3115/v1/w14-3347

Ranking very many typed entities on wikipedia

Autor: Peter Mika, Massimiliano Ciaramita, Jordi Atserias, Giuseppe Attardi, Henning Rode, Hugo Zaragoza

Publikováno v: CIKM
BASE-Bielefeld Academic Search Engine
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, CIKM '07, 1015-1018
STARTPAGE=1015;ENDPAGE=1018;TITLE=Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, CIKM '07

We discuss the problem of ranking very many entities of different types. In particular we deal with a heterogeneous set of types, some being very generic and some very specific. We discuss two approaches for this problem: i) exploiting the entity con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22938b0a016c9dfec8c83164e00b1783
https://doi.org/10.1145/1321440.1321599