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Hits 81 – 100 of 165

81
A shared substrate between Greek and Italic
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
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
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
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
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
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
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
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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89
CoNLL 2017 Shared Task System Outputs
Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017
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90
Universal Dependencies 2.1
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017
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91
Milk and the Indo-Europeans
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
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 ...
Sagot, Benoît. - : arXiv, 2016
Abstract: Morphosyntactic lexicons and word vector representations have both proven useful for improving the accuracy of statistical part-of-speech taggers. Here we compare the performances of four systems on datasets covering 16 languages, two of these systems being feature-based (MEMMs and CRFs) and two of them being neural-based (bi-LSTMs). We show that, on average, all four approaches perform similarly and reach state-of-the-art results. Yet better performances are obtained with our feature-based models on lexically richer datasets (e.g. for morphologically rich languages), whereas neural-based results are higher on datasets with less lexical variability (e.g. for English). These conclusions hold in particular for the MEMM models relying on our system MElt, which benefited from newly designed features. This shows that, under certain conditions, feature-based approaches enriched with morphosyntactic lexicons are competitive with respect to neural methods. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1606.03676
https://arxiv.org/abs/1606.03676
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94
Constructing a poor man’s wordnet in a resource-rich world
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?
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
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
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
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
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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100
The CoMeRe corpus for French: structuring and annotating heterogeneous CMC genres
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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