21 |
Social Measurement and Causal Inference with Text
|
|
|
|
In: Doctoral Dissertations (2021)
|
|
BASE
|
|
Show details
|
|
22 |
(Indirect) requests in Natural Language Processing: a preliminary theoretical proposa
|
|
|
|
In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0717-1285, Nº. 51, 2021, pags. 204-226 (2021)
|
|
BASE
|
|
Show details
|
|
23 |
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
|
|
24 |
FlauBERT : Unsupervised Language Model Pre-training for French ; FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français
|
|
|
|
In: Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-02784776 ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles, Jun 2020, Nancy, France. pp.268-278 (2020)
|
|
BASE
|
|
Show details
|
|
25 |
Enhancing the Reasoning Capabilities of Natural Language Inference Models with Attention Mechanisms and External Knowledge
|
|
|
|
BASE
|
|
Show details
|
|
26 |
Comparação de Métodos para Inferência em Linguagem Natural ; Comparison of Methods for Natural Language Inference
|
|
Souza, Rodrigo Aparecido da Silva. - : Biblioteca Digital de Teses e Dissertações da USP, 2020. : Universidade de São Paulo, 2020. : Faculdade de Filosofia, Letras e Ciências Humanas, 2020
|
|
BASE
|
|
Show details
|
|
27 |
Exploring Explicit and Implicit Feature Spaces in Natural Language Processing Using Self-Enrichment and Vector Space Analysis
|
|
|
|
In: Electronic Thesis and Dissertation Repository (2020)
|
|
BASE
|
|
Show details
|
|
29 |
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
30 |
Deep neural networks for natural language processing and its acceleration
|
|
|
|
BASE
|
|
Show details
|
|
31 |
Non-Entailed Subsequences as a Challenge for Natural Language Inference
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2019)
|
|
BASE
|
|
Show details
|
|
32 |
Type Theories and Lexical Networks: Using Serious Games as the Basis for Multi-Sorted Typed Systems
|
|
|
|
In: ISSN: 2299-856X ; EISSN: 2299-8470 ; Journal of Language Modelling ; https://hal.archives-ouvertes.fr/hal-01947518 ; Journal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2017, Type-theoretical approaches to lexical semantics, 5 (2), pp.229-272. ⟨10.15398/jlm.v5i2.145⟩ (2017)
|
|
BASE
|
|
Show details
|
|
33 |
STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE
|
|
|
|
BASE
|
|
Show details
|
|
34 |
Textual Inference for Machine Comprehension ; Inférence textuelle pour la compréhension automatique
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-01317577 ; Computation and Language [cs.CL]. Université Paris Saclay (COmUE), 2016. English. ⟨NNT : 2016SACLS004⟩ (2016)
|
|
BASE
|
|
Show details
|
|
35 |
A Sentence-To-Sentence Relation Network For Recognizing Textual Entailment ...
|
|
|
|
BASE
|
|
Show details
|
|
36 |
A Sentence-To-Sentence Relation Network For Recognizing Textual Entailment ...
|
|
|
|
BASE
|
|
Show details
|
|
37 |
Learning with joint inference and latent linguistic structure in graphical models
|
|
|
|
BASE
|
|
Show details
|
|
38 |
Document Image Parsing and Understanding using Neuromorphic Architecture
|
|
|
|
In: DTIC (2015)
|
|
BASE
|
|
Show details
|
|
39 |
A Fast Variational Approach for Learning Markov Random Field Language Models
|
|
|
|
In: DTIC (2015)
|
|
BASE
|
|
Show details
|
|
40 |
Learning to Understand Natural Language with Less Human Effort
|
|
|
|
In: DTIC (2015)
|
|
BASE
|
|
Show details
|
|
|
|