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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
Training corpus hr500k 1.0
Abstract: The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and named entities. About half of the corpus is also manually annotated with syntactic dependencies. Furthermore, about a fifth of the corpus is annotated with semantic role labels. The annotations (and other aspects) of the hr500k corpus are documented in the teiHeader and back element of the TEI encoded corpus. In short, they follow (1) the MULTEXT-East V5 morphosyntactic specifications for Croatian, http://nl.ijs.si/ME/V5/msd/, (2) the UDv2 Guidelines, http://universaldependencies.org/guidelines.html, and (3) the Janes annotation guidelines for named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, while (4) the semantic role labelling annotation guidelines are currently in the publication process.
Keyword: dependency treebank; manual annotation; named entities; parsing; part-of-speech tagging; semantic role labelling; TEI; tokenisation
URL: http://hdl.handle.net/11356/1183
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3
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
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4
Is it worth it? Budget-related evaluation metrics for model selection ...
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5
Croatian Twitter training corpus ReLDI-NormTag-hr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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6
Serbian Twitter training corpus ReLDI-NormTag-sr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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7
Croatian Twitter training corpus ReLDI-NormTag-hr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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8
Serbian Twitter training corpus ReLDI-NormTag-sr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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9
Fine-grained human evaluation of neural versus phrase-based machine translation ...
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10
Serbian-English parallel corpus srenWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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11
Finnish-English parallel corpus fienWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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12
Serbian web corpus srWaC 1.1
Ljubešić, Nikola; Klubička, Filip. - : Jožef Stefan Institute, 2016
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13
Inflectional lexicon hrLex 1.0
Ljubešić, Nikola; Klubička, Filip. - : Faculty of Humanities and Social Sciences, University of Zagreb, 2016
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14
Inflectional lexicon hrLex 1.2
Ljubešić, Nikola; Klubička, Filip; Boras, Damir. - : Faculty of Humanities and Social Sciences, University of Zagreb, 2016
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15
Tourism English-Croatian Parallel Corpus 2.0
Toral, Antonio; Esplà-Gomis, Miquel; Klubička, Filip. - : Abu-MaTran project, 2016
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16
Inflectional lexicon srLex 1.2
Ljubešić, Nikola; Klubička, Filip; Boras, Damir. - : Faculty of Humanities and Social Sciences, University of Zagreb, 2016
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17
Croatian-English parallel corpus hrenWaC 2.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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18
Inflectional lexicon srLex 1.0
Ljubešić, Nikola; Klubička, Filip. - : Faculty of Humanities and Social Sciences, University of Zagreb, 2016
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19
Croatian web corpus hrWaC 2.1
Ljubešić, Nikola; Klubička, Filip. - : Jožef Stefan Institute, 2016
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20
Slovene-English parallel corpus slenWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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