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41
Definiteness across languages
In: Language Science Press; (2019)
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Definiteness across languages
In: Language Science Press; (2019)
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43
Definiteness across languages
In: Language Science Press; (2019)
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44
Definiteness across languages
In: Language Science Press; (2019)
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45
Definiteness across languages
In: Language Science Press; (2019)
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46
Definiteness across languages
In: Language Science Press; (2019)
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47
Definiteness across languages
In: Language Science Press; (2019)
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48
Definiteness across languages
In: Language Science Press; (2019)
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49
Definiteness across languages
In: Language Science Press; (2019)
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50
Definiteness across languages
In: Language Science Press; (2019)
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51
Definiteness across languages
In: Language Science Press; (2019)
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52
A morpho-semantic account of weak definites and bare institutional singulars in English ...
Williams, Adina. - : Zenodo, 2019
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53
A morpho-semantic account of weak definites and bare institutional singulars in English ...
Williams, Adina. - : Zenodo, 2019
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54
Verb Argument Structure Alternations in Word and Sentence Embeddings
In: Proceedings of the Society for Computation in Linguistics (2019)
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55
Representing Relationality: MEG Studies on Argument Structure
Williams, Adina. - : New York University, 2018
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56
XNLI: Evaluating Cross-lingual Sentence Representations ...
Abstract: State-of-the-art natural language processing systems rely on supervision in the form of annotated data to learn competent models. These models are generally trained on data in a single language (usually English), and cannot be directly used beyond that language. Since collecting data in every language is not realistic, there has been a growing interest in cross-lingual language understanding (XLU) and low-resource cross-language transfer. In this work, we construct an evaluation set for XLU by extending the development and test sets of the Multi-Genre Natural Language Inference Corpus (MultiNLI) to 15 languages, including low-resource languages such as Swahili and Urdu. We hope that our dataset, dubbed XNLI, will catalyze research in cross-lingual sentence understanding by providing an informative standard evaluation task. In addition, we provide several baselines for multilingual sentence understanding, including two based on machine translation systems, and two that use parallel data to train aligned ... : EMNLP 2018 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.1809.05053
https://arxiv.org/abs/1809.05053
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Verb Argument Structure Alternations in Word and Sentence Embeddings ...
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The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations ...
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