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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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| 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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Abstract:
International audience ; Automatic methods for wordnet development in languages other than English generally exploit information found in Princeton WordNet (PWN) and translations extracted from parallel corpora. A common approach consists in preserving the structure of PWN and transferring its content in new languages using alignments, possibly combined with information extracted from multilingual semantic resources. Even if the role of PWN remains central in this process, these automatic methods offer an alternative to the manual elaboration of new wordnets. However, their limited coverage has a strong impact on that of the resulting resources. Following this line of research, we apply a cross-lingual word sense disambiguation method to wordnet development. Our approach exploits the output of a data-driven sense induction method that generates sense clusters in new languages, similar to wordnet synsets, by identifying word senses and relations in parallel corpora. We apply our cross-lingual word sense disambiguation method to the task of enriching a French wordnet resource, the WOLF, and show how it can be efficiently used for increasing its coverage. Although our experiments involve the English-French language pair, the proposed methodology is general enough to be applied to the development of wordnet resources in other languages for which parallel corpora are available. Finally, we show how the disambiguation output can serve to reduce the granularity of new wordnets and the degree of polysemy present in PWN.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing; cross-lingual word sense disambiguation; parallel corpora; sense clustering; word sense induction; WordNet
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URL: https://hal.inria.fr/hal-01088000/file/LRE_Apidianaki_Sagot_camera_ready.pdf
https://hal.inria.fr/hal-01088000
https://hal.inria.fr/hal-01088000/document
https://doi.org/10.1007/s10579-014-9291-2
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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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