2 |
A French corpus annotated for multiword expressions and named entities
|
|
|
|
In: ISSN: 2299-856X ; EISSN: 2299-8470 ; Journal of Language Modelling ; https://hal.archives-ouvertes.fr/hal-03016721 ; Journal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2020, 8 (2), pp.415-479. ⟨10.15398/jlm.v8i2.265⟩ (2020)
|
|
BASE
|
|
Show details
|
|
3 |
Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Without lexicons, multiword expression identification will never fly: A position statement
|
|
|
|
In: Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) ; Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) ; https://hal.archives-ouvertes.fr/hal-02318241 ; Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), Aug 2019, Florence, Italy. pp.79 - 91, ⟨10.18653/v1/W19-5110⟩ (2019)
|
|
BASE
|
|
Show details
|
|
5 |
Literal Occurrences of Multiword Expressions: Rare Birds That Cause a Stir
|
|
|
|
In: ISSN: 1804-0462 ; The Prague Bulletin of Mathematical Linguistics ; https://hal.archives-ouvertes.fr/hal-02106263 ; The Prague Bulletin of Mathematical Linguistics, Univerzita Karlova v Praze, 2019, ⟨10.2478/pralin-2019-0001⟩ (2019)
|
|
BASE
|
|
Show details
|
|
6 |
Unsupervised Compositionality Prediction of Nominal Compounds
|
|
|
|
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02318196 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (1), pp.1-57. ⟨10.1162/coli_a_00341⟩ (2019)
|
|
BASE
|
|
Show details
|
|
7 |
Multilingual corpus of literal occurrences of multiword expressions
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Unsupervised Compositionality Prediction of Nominal Compounds
|
|
|
|
Abstract:
Nominal compounds such as red wine and nut case display a continuum of compositionality, with varying contributions from the components of the compound to its semantics. This article proposes a framework for compound compositionality prediction using distributional semantic models, evaluating to what extent they capture idiomaticity compared to human judgments. For evaluation, we introduce datasets containing human judgments in three languages: English, French and Portuguese. The results obtained reveal a high agreement between the models and human predictions, suggesting that they are able to incorporate information about idiomaticity. We also present an in-depth evaluation of various factors that can affect prediction, such as model and corpus parameters and compositionality operations. General crosslingual analyses reveal the impact of morphological variation and corpus size in the ability of the model to predict compositionality, and of a uniform combination of the components for best results.
|
|
Keyword:
P Philology. Linguistics; QA75 Electronic computers. Computer science
|
|
URL: http://repository.essex.ac.uk/22999/7/coli_a_00341.pdf https://doi.org/10.1162/coli_a_00341 http://repository.essex.ac.uk/22999/
|
|
BASE
|
|
Hide details
|
|
9 |
Literal Occurrences of Multiword Expressions: Rare Birds That Cause a Stir
|
|
|
|
In: Prague Bulletin of Mathematical Linguistics , Vol 112, Iss 1, Pp 5-54 (2019) (2019)
|
|
BASE
|
|
Show details
|
|
10 |
Literal readings of multiword expressions: as scarce as hen's teeth
|
|
|
|
In: Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT 16), Jan 2018, Prague, Czech Republic ; https://hal.archives-ouvertes.fr/hal-01694995 ; Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT 16), Jan 2018, Prague, Czech Republic, Jan 2018, Prague, Czech Republic. pp.64 - 72 (2018)
|
|
BASE
|
|
Show details
|
|
11 |
Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions
|
|
|
|
In: Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) ; https://hal.archives-ouvertes.fr/hal-01865575 ; Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Aug 2018, Santa Fe, United States. pp.222 - 240 (2018)
|
|
BASE
|
|
Show details
|
|
12 |
Advances in Multiword Expression Identification for the Italian language: The PARSEME shared task edition 1.1
|
|
|
|
In: Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018) ; Fifth Italian Conference on Computational Linguistics (CLiC-it 2018) ; https://hal.archives-ouvertes.fr/hal-02152557 ; Fifth Italian Conference on Computational Linguistics (CLiC-it 2018), Dec 2018, Torino, Italy (2018)
|
|
BASE
|
|
Show details
|
|
13 |
Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
|
|
|
|
In: Language Science Press; (2018)
|
|
BASE
|
|
Show details
|
|
15 |
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
|
|
|
|
In: Language Science Press; (2018)
|
|
BASE
|
|
Show details
|
|
16 |
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
|
|
|
|
In: Language Science Press; (2018)
|
|
BASE
|
|
Show details
|
|
17 |
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
|
|
|
|
In: Language Science Press; (2018)
|
|
BASE
|
|
Show details
|
|
18 |
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
|
|
|
|
In: Language Science Press; (2018)
|
|
BASE
|
|
Show details
|
|
19 |
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
|
|
|
|
In: Language Science Press; (2018)
|
|
BASE
|
|
Show details
|
|
20 |
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
|
|
|
|
In: Language Science Press; (2018)
|
|
BASE
|
|
Show details
|
|
|
|