| 1 |
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)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
|
|
|
|
In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03418387 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2328-2334, ⟨10.1145/3404835.3463255⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 4 |
A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 5 |
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
|
|
|
| 6 |
Compressive approaches for cross-language multi-document summarization
|
|
|
|
In: ISSN: 0169-023X ; Data and Knowledge Engineering ; https://hal.archives-ouvertes.fr/hal-02556889 ; Data and Knowledge Engineering, Elsevier, 2020, 125, pp.101763. ⟨10.1016/j.datak.2019.101763⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
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
|
|
|
| 8 |
Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 10 |
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 11 |
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming ...
|
|
|
|
Abstract:
Multi-Sentence Compression (MSC) aims to generate a short sentence with the key information from a cluster of similar sentences. MSC enables summarization and question-answering systems to generate outputs combining fully formed sentences from one or several documents. This paper describes an Integer Linear Programming method for MSC using a vertex-labeled graph to select different keywords, with the goal of generating more informative sentences while maintaining their grammaticality. Our system is of good quality and outperforms the state of the art for evaluations led on news datasets in three languages: French, Portuguese and Spanish. We led both automatic and manual evaluations to determine the informativeness and the grammaticality of compressions for each dataset. In additional tests, which take advantage of the fact that the length of compressions can be modulated, we still improve ROUGE scores with shorter output sentences. ...
|
|
Keyword:
integer linear programming; Multi-sentence compression; word graph
|
|
URL: https://zenodo.org/record/3930868
https://dx.doi.org/10.5281/zenodo.3930868
|
|
BASE
|
|
Hide details
|
|
|
| 12 |
TLR at BSNLP2019: A Multilingual Named Entity Recognition System
|
|
|
|
In: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing ; 7th Workshop on Balto-Slavic Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02364839 ; 7th Workshop on Balto-Slavic Natural Language Processing, Aug 2019, Florence, Italy. pp.83-88, ⟨10.18653/v1/W19-3711⟩ ; https://www.aclweb.org/anthology/W19-3711/ (2019)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task
|
|
|
|
In: 11th International Conference on Language Resources and Evaluation (LREC) ; https://hal.archives-ouvertes.fr/hal-01722130 ; 11th International Conference on Language Resources and Evaluation (LREC), 2018, Miyazaki, Japan (2018)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
A First Summarization System of a Video in a Target Language
|
|
|
|
In: MISSI 2018 - 11th edition of the International Conference on Multimedia and Network Information Systems ; https://hal.archives-ouvertes.fr/hal-01819720 ; MISSI 2018 - 11th edition of the International Conference on Multimedia and Network Information Systems, Sep 2018, Wrocław, Poland. pp.1-12 (2018)
|
|
BASE
|
|
Show details
|
|
|
|
|
