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Hits 1 – 12 of 12

1
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ...
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2
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? ...
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3
SEAGLE: A platform for comparative evaluation of semantic encoders for information retrieval
Schmidt, Fabian David; Dietsche, Markus; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2019
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4
Multilingual and cross-lingual graded lexical entailment
Glavaš, Goran; Vulić, Ivan; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2019
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5
Specializing distributional vectors of all words for lexical entailment
Ponti, Edoardo Maria; Kamath, Aishwarya; Pfeiffer, Jonas. - : Association for Computational Linguistics, 2019
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6
How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions
Glavaš, Goran; Litschko, Robert; Ruder, Sebastian. - : Association for Computational Linguistics, 2019
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7
Cross-lingual semantic specialization via lexical relation induction
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2019
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8
Generalized tuning of distributional word vectors for monolingual and cross-lingual lexical entailment
Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2019
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9
SenZi: A sentiment analysis lexicon for the latinised Arabic (Arabizi)
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10
Informing unsupervised pretraining with external linguistic knowledge
Lauscher, Anne; Vulić, Ivan; Ponti, Edoardo Maria. - : Cornell University, 2019
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11
Do we really need fully unsupervised cross-lingual embeddings?
Vulić, Ivan; Glavaš, Goran; Reichart, Roi. - : Association for Computational Linguistics, 2019
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12
Are we consistently biased? Multidimensional analysis of biases in distributional word vectors
Lauscher, Anne; Glavaš, Goran. - : Association for Computational Linguistics, 2019
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