1 |
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
|
|
|
|
In: Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021) ; https://hal.archives-ouvertes.fr/hal-03466171 ; Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩ (2021)
|
|
BASE
|
|
Show details
|
|
2 |
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
A Thorough Evaluation of Task-Specific Pretraining for Summarization ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 264-280 (2020) (2020)
|
|
BASE
|
|
Show details
|
|
7 |
Privacy-preserving Neural Representations of Text
|
|
|
|
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing ; 2018 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02135081 ; 2018 Conference on Empirical Methods in Natural Language Processing, Nov 2018, Brussels, Belgium. pp.1--10 (2018)
|
|
BASE
|
|
Show details
|
|
10 |
Split and Rephrase
|
|
|
|
In: EMNLP 2017: Conference on Empirical Methods in Natural Language Processing ; https://hal.inria.fr/hal-01623746 ; EMNLP 2017: Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark. pp.617 - 627 (2017)
|
|
BASE
|
|
Show details
|
|
11 |
The WebNLG Challenge: Generating Text from RDF Data
|
|
|
|
In: Proceedings of the 10th International Conference on Natural Language Generation ; https://hal.archives-ouvertes.fr/hal-02461197 ; Proceedings of the 10th International Conference on Natural Language Generation, Sep 2017, Santiago de Compostela, Spain. pp.124-133, ⟨10.18653/v1/W17-3518⟩ (2017)
|
|
BASE
|
|
Show details
|
|
12 |
Creating Training Corpora for NLG Micro-Planning
|
|
|
|
In: 55th annual meeting of the Association for Computational Linguistics (ACL) ; https://hal.inria.fr/hal-01623744 ; 55th annual meeting of the Association for Computational Linguistics (ACL), Jul 2017, Vancouver, Canada (2017)
|
|
BASE
|
|
Show details
|
|
19 |
The SUMMA Platform Prototype
|
|
Riedel, Sebastian; Garner, Phil; Narayan, Shashi; Sajjad, Hassan; Tong, Sibo; Miculicich Werlen, Lesly; Liepins, Renars; Vlachos, Andreas; Mitchell, Jeff; Renals, Steve; Dwojak, Tomasz; Jones, Clive; Almeida, Mariana S. C.; Sheppey, David; Khurana, Sameer; Dalvi, Fahim; Weber, Susanne; Bourlard, Hervé; Pappas, Nikolaos; Balage, Pedro; Sennrich, Rico; Papasarantopoulos, Nikos; Lazaridis, Alexandros; Pieto, João; Cohen, Shay; Germann, Ulrich; Damonte, Marco; Popescu-Belis, Andrei; Mendes, Alfonso; Junczys-Dowmunt, Marcin; Birch, Alexandra; Abdelali, Ahmed; Vogel, Stephan; van der Kreeft, Peggy; Nogueira, David; Imran, Hina; Durrani, Nadir; Wang, Yang; Obamuyide, Abiola; Klejch, Ondrej; Miranda, Sebastião; Giefer, Andreas; Barzdins, Guntis; Hernon, Chris; Ali, Ahmed; Bell, Peter
|
|
In: http://infoscience.epfl.ch/record/233575 (2017)
|
|
Abstract:
We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring. The platform contains a rich suite of low-level and high-level natural language processing technologies: automatic speech recognition of broadcast media, machine translation, automated tagging and classification of named entities, semantic parsing to detect relationships between entities, and automatic construction / augmentation of factual knowledge bases. Implemented on the Docker platform, it can easily be deployed, customised, and scaled to large volumes of incoming media streams.
|
|
URL: http://infoscience.epfl.ch/record/233575 http://aclweb.org/anthology/E17-3029 http://infoscience.epfl.ch/record/233575/files/Liepins_EACL_2017.pdf
|
|
BASE
|
|
Hide details
|
|
20 |
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|