| 2 |
Terminologies augmented recurrent neural network model for clinical named entity recognition
|
|
|
|
In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.archives-ouvertes.fr/hal-02428771 ; Journal of Biomedical Informatics, Elsevier, 2020, 102, pp.103356. ⟨10.1016/j.jbi.2019.103356⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
CAS: corpus of clinical cases in French
|
|
|
|
In: ISSN: 2041-1480 ; Journal of Biomedical Semantics ; https://hal.archives-ouvertes.fr/hal-03021064 ; Journal of Biomedical Semantics, BioMed Central, 2020, ⟨10.1186/s13326-020-00225-x⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
|
|
|
|
In: NeurIPS 2020 - 34th Conference on Neural Information Processing Systems ; https://hal.archives-ouvertes.fr/hal-03083158 ; NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada (2020)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Normalisation of 16th and 17th century texts in French and geographical named entity recognition
|
|
|
|
In: 4th ACM SIGSPATIAL International Workshop on Geospatial Humanities ; ACM SIGSPATIAL GeoHumanities'20 ; https://hal-upec-upem.archives-ouvertes.fr/hal-02955867 ; ACM SIGSPATIAL GeoHumanities'20, ACM, Nov 2020, Seattle (virtual), United States. pp.28-34, ⟨10.1145/3423337.3429437⟩ ; https://ludovicmoncla.github.io/sigspatial-geohumanities-2020/ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
FlauBERT: Unsupervised Language Model Pre-training for French
|
|
|
|
In: Proceedings of the 12th Language Resources and Evaluation Conference ; LREC ; https://hal.archives-ouvertes.fr/hal-02890258 ; LREC, 2020, Marseille, France (2020)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
|
|
|
|
In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.inria.fr/hal-03476839 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Evaluation of Embeddings in Medication Domain for Spanish Language Using Joint Natural Language Understanding
|
|
|
|
In: IFMBE Proceedings ; https://hal.archives-ouvertes.fr/hal-03294349 ; IFMBE Proceedings, 2020, 8th European Medical and Biological Engineering Conference, 80, pp.510 - 517. ⟨10.1007/978-3-030-64610-3_58⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Improving Short Text Classification Through Global Augmentation Methods
|
|
|
|
In: Lecture Notes in Computer Science ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-03414750 ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.385-399, ⟨10.1007/978-3-030-57321-8_21⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework Based on Multi-Input Neural Network
|
|
|
|
In: Computer Science Faculty Publications and Presentations (2020)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Inference Annotation of a Chinese Corpus for Opinion Mining
|
|
|
|
In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Lexicon-Grammar based open information extraction from natural language sentences in Italian
|
|
|
|
In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-02291746 ; Expert Systems with Applications, Elsevier, 2020, pp.112954. ⟨10.1016/j.eswa.2019.112954⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Syntactic and Semantic Impact of Prepositions in Machine Translation : An Empirical Study of French-English Translation of Prepositions ‘à’, ‘de’ and ‘en’
|
|
|
|
In: Human Language Technology. Challenges for Computer Science and Linguistics 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers ; 8th Language and Technology Conference (LTC 2017) ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-03091307 ; Human Language Technology. Challenges for Computer Science and Linguistics 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers, 12598, pp.273-287, 2020, Lecture Notes in Computer Science, 978-3-030-66526-5. ⟨10.1007/978-3-030-66527-2_20⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
State Machine based Human-Bot Conversation Model and Services
|
|
|
|
In: CAiSE 2020: 32nd International Conference on Advanced Information Systems Engineering ; https://hal.archives-ouvertes.fr/hal-03122974 ; CAiSE 2020: 32nd International Conference on Advanced Information Systems Engineering, Jun 2020, Grenoble, France. pp.199-214, ⟨10.1007/978-3-030-49435-3_13⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Place perception from the fusion of different image representation
|
|
|
|
In: Li, P, Li, X, Li, X, Pan, H, Khyam, MO, Noor-A-Rahim, M, Ge, SS, (2020). Place perception from the fusion of different image representation. Pattern Recognition, Vol. 110, p. 1-11 http://dx.doi.org/10.1016/j.patcog.2020.107680 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
MultiMWE: building a multi-lingual multi-word expression (MWE) parallel corpora
|
|
|
|
In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2020) MultiMWE: building a multi-lingual multi-word expression (MWE) parallel corpora. In: 12th International Conference on Language Resources and Evaluation (LREC), 11-16 May, 2020, Marseille, France. (Virtual). (2020)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
MultiMWE: building a multi-lingual multi-word expression (MWE) Pparallel corpora
|
|
|
|
In: Han, Lifeng, Gareth, Jones orcid:0000-0003-2923-8365 and Alan, Smeaton orcid:0000-0003-1028-8389 (2020) MultiMWE: building a multi-lingual multi-word expression (MWE) Pparallel corpora. In: International Conference on Language Resources and Evaluation (LREC), 11-16 May, 2020, Marseille, France. (2020)
|
|
Abstract:
Multi-word expressions (MWEs) are a hot topic in research in natural language processing (NLP), including topics such as MWE detection, MWE decomposition, and research investigating the exploitation of MWEs in other NLP fields such as Machine Translation. However, the availability of bilingual or multi-lingual MWE corpora is very limited. The only bilingual MWE corpora that we are aware of is from the PARSEME (PARSing and Multi-word Expressions) EU Project. This is a small collection of only 871 pairs of English-German MWEs. In this paper, we present multi-lingual and bilingual MWE corpora that we have extracted from root parallel corpora. Our collections are 3,159,226 and 143,042 bilingual MWE pairs for German-English and Chinese-English respectively after filtering. We examine the quality of these extracted bilingual MWEs in MT experiments. Our initial experiments applying MWEs in MT show improved translation performances on MWE terms in qualitative analysis and better general evaluation scores in quantitative analysis, on both German-English and Chinese-English language pairs. We follow a standard experimental pipeline to create our MultiMWE corpora which are available online. Researchers can use this free corpus for their own models or use them in a knowledge base as model features.
|
|
Keyword:
Artificial intelligence; Computational linguistics; Information technology; Machine translating; Machine Translation; Multi-word Expression; Natural Language Processing; Software engineering
|
|
URL: http://doras.dcu.ie/24259/
|
|
BASE
|
|
Hide details
|
|
|
| 20 |
Using Twitter Streams for Opinion Mining: a case study on Airport Noise
|
|
|
|
In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; https://hal.archives-ouvertes.fr/hal-03018998 ; Communications in Computer and Information Science, Springer Verlag, 2020, ⟨10.1007/978-3-030-44900-1_10⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
|
|
