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1
Baselines and test data for cross-lingual inference
In: Agic , Z & Schluter , N 2018 , Baselines and test data for cross-lingual inference . in Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) . European Language Resources Association , pp. 3890-3894 . (2018)
Abstract: 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.
Keyword: cross-lingual methods; natural language inference; test data
URL: https://arxiv.org/pdf/1704.05347.pdf
https://pure.itu.dk/ws/files/83054422/1704.05347.pdf
https://pure.itu.dk/portal/en/publications/baselines-and-test-data-for-crosslingual-inference(00ef2199-9e6d-4a52-ab71-0e2a1256cfdf).html
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2
Multilingual Projection for Parsing Truly Low-Resource Languageš
In: ISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01426754 ; Transactions of the Association for Computational Linguistics, 2016 (2016)
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3
Multilingual projection for parsing truly low resource languages
In: Agic , Z , Johannsen , A T , Plank , B , Martinez Alonso , H , Schluter , N E & Søgaard , A 2016 , ' Multilingual projection for parsing truly low resource languages ' Transactions of the Association for Computational Linguistics , bind 4 , s. 301-312 . (2016)
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4
Multilingual Projection for Parsing Truly Low-Resource Languageš
In: ISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01426754 ; Transactions of the Association for Computational Linguistics, 2016 (2016)
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5
Multilingual Projection for Parsing Truly Low-Resource Languages
In: Agić , Ž , Johannsen , A , Plank , B , Martínez Alonso , H , Schluter , N & Søgaard , A 2016 , ' Multilingual Projection for Parsing Truly Low-Resource Languages ' Transactions of the Association for Computational Linguistics , vol 4 , pp. 301-312 . (2016)
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6
Treebank-Based Deep Grammar Acquisition for French Probabilistic Parsing Resources
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7
Dependency parsing resources for French: Converting acquired lexical functional grammar F-Structure annotations and parsing F-Structures directly
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8
Dependency Parsing Resources for French: Converting Acquired Lexical Functional Grammar F-Structure Annotations and Parsing F-Structures Directly
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9
Treebank-based acquisition of LFG parsing resources for French
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10
Preparing, restructuring, and augmenting a French treebank: lexicalised parsers or coherent treebanks?
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11
The role of aspect in paraphrase operations
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