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A shared substrate between Greek and Italic
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In: ISSN: 0019-7262 ; EISSN: 1613-0405 ; Indogermanische Forschungen ; https://hal.inria.fr/hal-01621467 ; Indogermanische Forschungen, De Gruyter, 2017, 122 (1), pp.29-60. ⟨10.1515/if-2017-0002⟩ (2017)
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| 82 |
Improving neural tagging with lexical information
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In: 15th International Conference on Parsing Technologies ; https://hal.inria.fr/hal-01592055 ; 15th International Conference on Parsing Technologies, Sep 2017, Pisa, Italy. pp.25-31 ; http://compling.ucdavis.edu/iwpt2017/ (2017)
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| 83 |
Universal Dependencies 2.1
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In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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| 84 |
Paris and Stanford at EPE 2017: Downstream Evaluation of Graph-based Dependency Representations
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In: EPE 2017 - The First Shared Task on Extrinsic Parser Evaluation ; https://hal.inria.fr/hal-01592051 ; EPE 2017 - The First Shared Task on Extrinsic Parser Evaluation, Sep 2017, Pisa, Italy. pp.47-59 ; http://epe.nlpl.eu (2017)
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| 85 |
Computational methods for descriptive and theoretical morphology: a brief introduction
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In: ISSN: 1871-5621 ; EISSN: 1871-5656 ; Morphology ; https://hal.inria.fr/hal-01628253 ; Morphology, Springer Verlag, 2017, Computational methods for descriptive and theoretical morphology, 27 (4), pp.1-7. ⟨10.1017/CBO9781139248860⟩ (2017)
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| 86 |
Annotating omission in statement pairs
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In: 11th Linguistic Annotation Workshop ; https://hal.inria.fr/hal-01584035 ; 11th Linguistic Annotation Workshop, Apr 2017, Valencia, Spain. pp.41-45 (2017)
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| 87 |
Speeding up corpus development for linguistic research: language documentation and acquisition in Romansh Tuatschin
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In: Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature ; https://hal.inria.fr/hal-01570614 ; Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Aug 2017, Vancouver, Canada. pp.89 - 94, ⟨10.18653/v1/W17-2212⟩ ; https://sighum.wordpress.com/events/latech-clfl-2017/ (2017)
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| 88 |
Milk and the Indo-Europeans
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In: Language Dispersal Beyond Farming ; https://hal.inria.fr/hal-01667476 ; Martine Robeets; Alexander Savalyev Language Dispersal Beyond Farming, John Benjamins Publishing Company, pp.291-311, 2017, 978 90 272 1255 9. ⟨10.1075/z.215.13gar⟩ (2017)
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| 91 |
Milk and the Indo-Europeans
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In: Language Dispersal Beyond Farming ; https://hal.inria.fr/hal-01667476 ; Martine Robeets; Alexander Savalyev Language Dispersal Beyond Farming, John Benjamins Publishing Company, pp.291-311, 2017, 978 90 272 1255 9. ⟨10.1075/z.215.13gar⟩ (2017)
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| 92 |
From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenarios
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In: 2nd Workshop on Noisy User-generated Text (W-NUT) at CoLing 2016 ; https://hal.inria.fr/hal-01584054 ; 2nd Workshop on Noisy User-generated Text (W-NUT) at CoLing 2016, Dec 2016, Osaka, Japan (2016)
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| 93 |
External Lexical Information for Multilingual Part-of-Speech Tagging ...
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| 94 |
Constructing a poor man’s wordnet in a resource-rich world
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.inria.fr/hal-01174492 ; Language Resources and Evaluation, Springer Verlag, 2015, 49 (3), pp.601-635. ⟨10.1007/s10579-015-9295-6⟩ (2015)
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Abstract:
International audience ; In this paper we present a language-independent, fully modular and automatic approach to bootstrap a wordnet for a new language by recycling different types of already existing language resources, such as machine-readable dictionaries, parallel corpora, and Wikipedia. The approach, which we apply here to Slovene, takes into account monosemous and polysemous words, general and specialised vocabulary as well as simple and multi-word lexemes. The extracted words are then assigned one or several synset ids, based on a classifier that relies on several features including distributional similarity. Finally, we identify and remove highly dubious (literal, synset) pairs, based on simple distributional information extracted from a large corpus in an unsupervised way. Automatic, manual and task-based evaluations show that the resulting resource, the latest version of the Slovene wordnet, is already a valuable source of lexico-semantic information.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Distributional similarity; Multilingual lexicon extraction; Word-sense disambiguation; Wordnet development
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URL: https://hal.inria.fr/hal-01174492/document
https://hal.inria.fr/hal-01174492
https://doi.org/10.1007/s10579-015-9295-6
https://hal.inria.fr/hal-01174492/file/lre15slownet_published.pdf
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| 95 |
Could Greek and Italic share a same Indo-European substratum?
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In: 22nd International Conference on Historical Linguistics ; https://hal.inria.fr/hal-01256310 ; 22nd International Conference on Historical Linguistics, Jul 2015, Naples, Italy ; http://www.ichl22.unina.it (2015)
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| 96 |
Developing a French FrameNet: Methodology and First results
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In: LREC - The 9th edition of the Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01022385 ; LREC - The 9th edition of the Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland (2014)
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| 97 |
A language-independent and fully unsupervised approach to lexicon induction and part-of-speech tagging for closely related languages
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In: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01022298 ; Language Resources and Evaluation Conference, European Language Resources Association, May 2014, Reykjavik, Iceland (2014)
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| 98 |
Data-driven Synset Induction and Disambiguation for Wordnet Development
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.inria.fr/hal-01088000 ; Language Resources and Evaluation, Springer Verlag, 2014, 48 (4), pp.655-677. ⟨10.1007/s10579-014-9291-2⟩ (2014)
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| 99 |
Crowdsourcing for Language Resource Development: Criticisms About Amazon Mechanical Turk Overpowering Use
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In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.inria.fr/hal-01053047 ; Vetulani, Zygmunt and Mariani, Joseph. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.303-314, 2014, Lecture Notes in Computer Science, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_25⟩ (2014)
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The CoMeRe corpus for French: structuring and annotating heterogeneous CMC genres
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In: ISSN: 0175-1336 ; Journal for language technology and computational linguistics ; https://halshs.archives-ouvertes.fr/halshs-00953507 ; Journal for language technology and computational linguistics, GSCL (Gesellschaft für Sprachtechnologie und Computerlinguistik) 2014, 29 (2), pp.1-30 ; http://www.jlcl.org/2014_Heft2/Heft2-2014.pdf (2014)
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