Naslov
Baselines and test data for cross-lingual inference

Autori
Agić, Željko ; Schluter, Natalie

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
LREC 2018: Eleventh International Conference on Language Resources and Evaluation: Conference Proceedings / Calzolari, Nicoletta ... [et al.] - Miyazaki : European Language Resources Association (ELRA), 2018, 3890-3894

ISBN
979-10-95546-00-9

Skup
11th International Conference on Language Resources and Evaluation (LREC 2018)

Mjesto i datum
Miyazaki, Japan, 07.05.2018. - 12.05.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
natural language inference ; cross-lingual methods ; test data

Sažetak
The recent years have seen a revival of interest in textual entailment, sparked by i) the emergence of powerful deep neural network learners for natural language processing and ii) the timely development of large-scale evaluation datasets such as SNLI. Recast as natural language inference, the problem now amounts to detecting the relation between pairs of statements: they either contradict or entail one another, or they are mutually neutral. Current research in natural language inference is effectively exclusive to English. In this paper, we propose to advance the research in SNLI-style natural language inference toward multilingual evaluation. To that end, we provide test data for four major languages: Arabic, French, Spanish, and Russian. We experiment with a set of baselines. Our systems are based on cross-lingual word embeddings and machine translation. While our best system scores an average accuracy of just over 75%, we focus largely on enabling further research in multilingual inference.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti, Filologija

POVEZANOST RADA