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Lexical Analysis of Serbian with Conditional Random Fields and Large-Coverage Finite-State Resources
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In: Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2015 ; https://hal.archives-ouvertes.fr/hal-02496263 ; Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2015, 10930, Springer, 2018, Lecture Notes in Computer Science (2018)
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Semantic and syntactic patterns of multiword names: A cross-language study
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In: Multiword expressions: Insights from a multi-lingual perspective ; https://hal-upec-upem.archives-ouvertes.fr/hal-01579971 ; Multiword expressions: Insights from a multi-lingual perspective, Language Science Press, pp.31-62, 2018, Phraseology and Multiword Expressions, 978-3-96110-063-7. ⟨10.5281/zenodo.1182589⟩ (2018)
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Serbian Language Integration in Prolexbase Multilingual Dictionary
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In: ISSN: 1450-9687 ; EISSN: 2217-9461 ; INFOtheca : Journal of Information and Library Science ; https://hal.archives-ouvertes.fr/hal-02050875 ; INFOtheca : Journal of Information and Library Science, Serbian Academic Library Association, 2018, 18 (2), pp.29-52 ; https://infoteka.bg.ac.rs/ojs/index.php/Infoteka/article/view/2018.18.2.2_en/143 (2018)
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Semantic And Syntactic Patterns Of Multiword Names: A Cross-Language Study ...
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| 5 |
Semantic And Syntactic Patterns Of Multiword Names: A Cross-Language Study ...
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Abstract:
Named entities (NEs) constitute a great challenge for computational linguistics and one of the major research topics during the last decade. They can be divided in cat- egories describing people, location, time, organization and others. In this paper we will restrict our discussion to proper names that belong to three main classes: personal, location and organization names, and that can be either single-word nouns or multiword expressions. First, we are going to define common (language- independent) semantic patterns for proper names and then we will present the cor responding syntactic patterns in English, Bulgarian, French, Greek, and Serbian. We will compare these patterns regarding grammatical categories of dependent constituents, definiteness, distribution of clitics, word order and various alterna- tions. Our ultimate goal is to build a universal framework for Named Entity Recog- nition (NER). ...
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URL: https://dx.doi.org/10.5281/zenodo.1182589
https://zenodo.org/record/1182589
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| 6 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 8 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 9 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 10 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 11 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 12 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 13 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 14 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 15 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 16 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 17 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 18 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 19 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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| 20 |
Multiword expressions: Insights from a multi-lingual perspective
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In: Language Science Press; (2017)
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