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1
Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification
In: Front Artif Intell (2022)
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2
Semantic Relatedness and Taxonomic Word Embeddings ...
Abstract: This paper connects a series of papers dealing with taxonomic word embeddings. It begins by noting that there are different types of semantic relatedness and that different lexical representations encode different forms of relatedness. A particularly important distinction within semantic relatedness is that of thematic versus taxonomic relatedness. Next, we present a number of experiments that analyse taxonomic embeddings that have been trained on a synthetic corpus that has been generated via a random walk over a taxonomy. These experiments demonstrate how the properties of the synthetic corpus, such as the percentage of rare words, are affected by the shape of the knowledge graph the corpus is generated from. Finally, we explore the interactions between the relative sizes of natural and synthetic corpora on the performance of embeddings when taxonomic and thematic embeddings are combined. ... : 7 pages 0 figures ...
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.2002.06235
https://arxiv.org/abs/2002.06235
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3
English WordNet Taxonomic Random Walk Pseudo-Corpora
In: Conference papers (2020)
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4
Language related issues for machine translation between closely related south Slavic languages
Arcan, Mihael; Klubicka, Filip; Popovic, Maja. - : The COLING 2016 Organizing Committee, 2019
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5
Synthetic, Yet Natural: Properties of WordNet Random Walk Corpora and the impact of rare words on embedding performance
In: Conference papers (2019)
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6
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
In: Articles (2019)
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7
Training corpus hr500k 1.0
Ljubešić, Nikola; Agić, Željko; Klubička, Filip. - : Jožef Stefan Institute, 2018
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8
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
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9
Is it worth it? Budget-related evaluation metrics for model selection ...
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10
Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
In: Articles (2018)
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11
Is it worth it? Budget-related evaluation metrics for model selection
In: Conference papers (2018)
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12
hr500k – A Reference Training Corpus of Croatian.
In: Conference papers (2018)
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13
Croatian Twitter training corpus ReLDI-NormTag-hr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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14
Serbian Twitter training corpus ReLDI-NormTag-sr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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15
Croatian Twitter training corpus ReLDI-NormTag-hr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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16
Serbian Twitter training corpus ReLDI-NormTag-sr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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17
Fine-grained human evaluation of neural versus phrase-based machine translation ...
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18
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 121-132 (2017) (2017)
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19
Serbian-English parallel corpus srenWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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20
Finnish-English parallel corpus fienWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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