DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 33

1
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
In: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) ; https://hal-universite-paris-saclay.archives-ouvertes.fr/hal-03650618 ; 2022 (2022)
BASE
Show details
2
L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition ...
BASE
Show details
3
L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition ...
BASE
Show details
4
Stratégie Multitâche pour la Classification Multiclasse
In: à paraître : Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles (TALN 2021) ; https://hal.archives-ouvertes.fr/hal-03265870 ; Traitement Automatique des Langues Naturelles (TALN 2021), 2021, Lille, France. pp.227-236 ; https://talnrecital2021.inria.fr/articles-acceptes/ (2021)
BASE
Show details
5
Understanding Feature Focus in Multitask Settings for Lexico-semantic Relation Identification
In: à paraître ; Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03220236 ; Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), ACL : Association for Computational Linguistics; Asian Federation of Natural Language Processing, Aug 2021, Bangkok (complete virtual format), Thailand ; https://2021.aclweb.org/ (2021)
BASE
Show details
6
Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
Abstract: National audience ; This paper tackles the task of NER applied to historical texts obtained from processing digital images of news papers using OCR techniques. The main challenge for this task is that the OCR process leads to misspellings and linguistic errors in the output text, which can impact the performance of the NER. We conduct a comparative evaluation on two historical datasets in German and French against previous state-of-the-art models, and we propose a model based ona hierarchical stack of Transformers to approach the NER task for historical data. Our findings show that the proposed model clearly improves the results on both historical data sets ; Cet article aborde la reconnaissance d’entités nommées (NER) appliquée aux textes historiques obtenus à partir du traitement d’images numériques de journaux à l’aide de tech-niques de reconnaissance optique de caractères (OCR). Nous soutenons que le principal défi pour cette tâche est que le processus OCR produit des textes contenant entre autres des fautes d’orthographe et des erreurs de syntaxes. De plus, des variations sémantiques peuvent être présentes dans les documents anciens, ce qui a un impact sur les performances de la reconnaissance d’entités nommées. Nous menons une évaluation comparative à l’état de l’art de deux ensembles de données historiques en allemand et en français, et nous proposons un modèle basé sur une pile hiérarchique de couches Transformer pour aborder la reconnaissance d’entités nommées dans des données historiques. Nos résultats montrent que le modèle proposé améliore clairement les résultats sur les deux ensembles de données
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; données historiques; données multi-lingues; Extraction d’information; Historical data; Information extraction; Multilingual data; Named entity recognition; reconnaissance d’entités nommées
URL: https://hal.archives-ouvertes.fr/hal-03320332/document
https://hal.archives-ouvertes.fr/hal-03320332
https://hal.archives-ouvertes.fr/hal-03320332/file/main%281%29.pdf
BASE
Hide details
7
MELHISSA: a multilingual entity linking architecture for historical press articles ...
BASE
Show details
8
MELHISSA: a multilingual entity linking architecture for historical press articles ...
BASE
Show details
9
Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
BASE
Show details
10
A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
BASE
Show details
11
Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
BASE
Show details
12
A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
BASE
Show details
13
A Multilingual Approach for Unsupervised Search Task Identification
In: SIGIR '20: Proceeding of the 43rd International ACM SIGIR conference on research and development in Information Retrieval ; 43rd International ACM SIGIR conference on research and development in Information Retrieval - SIGIR 2020 ; https://hal.archives-ouvertes.fr/hal-03014724 ; 43rd International ACM SIGIR conference on research and development in Information Retrieval - SIGIR 2020, Jul 2020, Virtual Event China, China. pp.2041-2044, ⟨10.1145/3397271.3401258⟩ ; https://dl.acm.org/doi/10.1145/3397271.3401258 (2020)
BASE
Show details
14
Entity Linking for Historical Documents: Challenges and Solutions
In: 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020 ; https://hal.archives-ouvertes.fr/hal-03034492 ; 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, 12504, Springer, pp.215-231, 2020, Lecture Notes in Computer Science, 978-3-030-64452-9. ⟨10.1007/978-3-030-64452-9_19⟩ (2020)
BASE
Show details
15
Robust Named Entity Recognition and Linking on Historical Multilingual Documents
In: Conference and Labs of the Evaluation Forum (CLEF 2020) ; https://hal.archives-ouvertes.fr/hal-03026969 ; Conference and Labs of the Evaluation Forum (CLEF 2020), Sep 2020, Thessaloniki, Greece. pp.1-17, ⟨10.5281/zenodo.4068074⟩ ; http://ceur-ws.org/Vol-2696/paper_171.pdf (2020)
BASE
Show details
16
Linking Named Entities across Languages using Multilingual Word Embeddings
In: JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020 ; ACM/IEEE Joint Conference on Digital Libraries - JCDL 2020 ; https://hal.archives-ouvertes.fr/hal-03026933 ; ACM/IEEE Joint Conference on Digital Libraries - JCDL 2020, Aug 2020, Wuhan, Hubei - Virtual event, China. pp.329-332, ⟨10.1145/3383583.3398597⟩ ; https://dl.acm.org/doi/10.1145/3383583.3398597 (2020)
BASE
Show details
17
Knowledge Base Embedding By Cooperative Knowledge Distillation
In: Proceedings of the 28th International Conference on Computational Linguistics, ; International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03172074 ; International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelone (on line), Spain. pp.5579-5590, ⟨10.18653/v1/2020.coling-main.489⟩ ; https://www.aclweb.org/anthology/2020.coling-main.489/ (2020)
BASE
Show details
18
Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
BASE
Show details
19
Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
BASE
Show details
20
Linking Named Entities across Languages using Multilingual Word Embeddings ...
BASE
Show details

Page: 1 2

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
33
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern