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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8...81 Hits 61 – 80 of 1.603 61 Deep Learning Methods for Human Behavior Recognition Lu, Jia. - : Auckland University of Technology, 2021 BASE Show details 62 Littérature et intelligence artificielle Brunet, Étienne; Lebart, Ludovic; Vanni, Laurent In: L'intelligence artificielle des textes ; https://hal.archives-ouvertes.fr/hal-03240145 ; D. Mayaffre, L. Vanni. L'intelligence artificielle des textes, Honoré Champion, pp.73-130, 2021, Lettres Numériques, 9782745356406 (2021) BASE Show details 63 Impact of textual data augmentation on linguistic pattern extraction to improve the idiomaticity of extractive summaries LAIFA, Abdelghani; Gautier, Laurent; Cruz, Christophe In: Lecture Notes in Computer Science ; https://hal.archives-ouvertes.fr/hal-03271380 ; Matteo Golfarelli; Robert Wrembel. Lecture Notes in Computer Science, Springer, In press, Lecture Notes in Computer Science (2021) BASE Show details 64 Multiword Expression Features for Automatic Hate Speech Detection Zampieri, Nicolas; Illina, Irina; Fohr, Dominique In: NLDB 2021 - 26th International Conference on Natural Language & Information Systems ; https://hal.archives-ouvertes.fr/hal-03231047 ; NLDB 2021 - 26th International Conference on Natural Language & Information Systems, Jun 2021, Saarbrücken/Virtual, Germany ; http://nldb2021.sb.dfki.de/ (2021) BASE Show details 65 Intelligence artificielle et discours politique. Quelles plus-values interprétatives ? Application aux corpus parlementaire et présidentiel contemporains Guaresi, Magali; Mayaffre, Damon In: L'intelligence artificielle des textes. Des algorithmes à l'interprétation ; https://hal.archives-ouvertes.fr/hal-03347997 ; L'intelligence artificielle des textes. Des algorithmes à l'interprétation, 17, Honoré Champion, pp.131-182, 2021, Lettres numériques, 9782815937467 (2021) BASE Show details 66 Intelligence artificielle et discours politique Le cas d'Emmanuel Macron (2017-2021) Mayaffre, Damon In: https://hal.archives-ouvertes.fr/hal-03522615 ; 3ème cycle. Collège de France - Séminaire "Migrations et sociétés", France. 2021 ; Collège de France - Séminaire "Migrations et sociétés" (2021) BASE Show details 67 Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks MACAIRE, Cécile In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021) BASE Show details 68 Automatic risk detection system by audiovisual signal processing ; Système de détection automatique de risques par traitement de signaux audiovisuels Bendjoudi, Ilyes. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03602318 ; Signal and Image processing. Université Polytechnique Hauts-de-France; Institut national des sciences appliquées Hauts-de-France, 2021. English. ⟨NNT : 2021UPHF0040⟩ (2021) BASE Show details 69 Du groupe à l'individu, du corpus à l'expérimentation, du spectrogramme au deep learning pour la phonétique Ferragne, Emmanuel. - : HAL CCSD, 2021 In: https://hal.archives-ouvertes.fr/tel-03283447 ; Linguistique. Aix-Marseille Université, 2021 (2021) BASE Show details 70 BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning. Zhou, Jiejie; Liu, Yan-Lin; Zhang, Yang. - : eScholarship, University of California, 2021 BASE Show details 71 BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning. Zhou, Jiejie; Liu, Yan-Lin; Zhang, Yang. - : eScholarship, University of California, 2021 BASE Show details 72 Playing With Unicorns: AI Dungeon and Citizen NLP Raley, Rita; Hua, Minh In: Digital Humanities Quarterly, vol 14, iss 4 (2021) BASE Show details 73 Towards a Discourse-Level Natural Language Processing Algorithm: Characterizing Tumor Existence, Change of Existence, and its Progression from Unstructured Radiology Reports Huang, Ruiqi. - : eScholarship, University of California, 2021 BASE Show details 74 Geographic Question Answering with Spatially-Explicit Machine Learning Models Mai, Gengchen. - : eScholarship, University of California, 2021 Abstract: As an important part of Artificial Intelligence (AI), Question Answering (QA) aims at generating answers to questions in natural language. With the advancement of deep learning technology, we have witnessed substantial progress in open-domain question answering. However, QA systems are still struggling to answer questions that involve geographic entities or concepts and that require spatial operations. In order to tackle these challenges, this dissertation specifically focuses on the problem of Geographic Question Answering (GeoQA) and develops a series of spatially-explicit machine learning models to handle different GeoQA tasks. First, in Chapter 1, we discuss the challenges of answering geographic questions and the uniqueness of GeoQA. A classification of geographic questions has been presented to facilitate the development of GeoQA. Next, in Chapter 2 a spatially-explicit query relaxation model is presented to demonstrate the usefulness of geographic information and spatial thinking in the geographic question answering and query relaxation process. To develop a more generalizable approach for GeoQA and other geospatial tasks, in Chapter 3, we present a general-purpose multi-scale representation learning model for geographic locations which can be utilized in multiple downstream tasks. It has been later on utilized to build a location-aware knowledge graph embedding model for a knowledge graph-based GeoQA model in Chapter 4. Only relying on points as the spatial representations for geographic entities is not sufficient to answer many geographic questions that involve spatial relations such as topological relations and cardinal direction relations. So in Chapter 5, we present a polygon encoder that can be used to answer multiple types of spatial relation questions. In the end, we draw a conclusion by listing several challenges of GeoQA which have not been solved in this dissertation and point out some future research directions. We hope this dissertation can reveal the importance of GeoQA and demonstrate the usefulness of spatially-explicit machine learning models on geospatial problems. We also hope GeoQA will become a unique research domain and serve as an important part of Geographic Artificial Intelligent (GeoAI) research. Keyword: Artificial intelligence; Computer science; Geographic Artificial Intelligence; Geographic information science and geodesy; Geographic Question Answering; Geometric Deep Learning; Knowledge Graph; Spatially-Explicit Machine Learning URL: https://escholarship.org/uc/item/8cp3c11d BASE Hide details 75 Automatic Speech Recognition : from hybrid to end-to-end approach ; Reconnaissance automatique de la parole à large vocabulaire : des approches hybrides aux approches End-to-End Heba, Abdelwahab. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03616588 ; Intelligence artificielle [cs.AI]. Université Paul Sabatier - Toulouse III, 2021. Français. ⟨NNT : 2021TOU30116⟩ (2021) BASE Show details 76 Large vocabulary automatic speech recognition: from hybrid to end-to-end approaches ; Reconnaissance automatique de la parole à large vocabulaire : des approches hybrides aux approches End-to-End Heba, Abdelwahab. - : HAL CCSD, 2021 In: https://hal.archives-ouvertes.fr/tel-03269807 ; Son [cs.SD]. Université toulouse 3 Paul Sabatier, 2021. Français (2021) BASE Show details 77 Neuro-computational models of language processing Hale, John,; Campanelli, Luca; Li, Jixing... In: EISSN: 2333-9691 ; Annual Review of Linguistics ; https://hal.archives-ouvertes.fr/hal-03334485 ; Annual Review of Linguistics, Annual Reviews, In press, ⟨10.1146/lingbuzz/006147⟩ (2021) BASE Show details 78 Representation learning of writing style, application to news recommendation ; Apprentissage de la représentation du style écrit, application à la recommandation d’articles d’actualité Hay, Julien. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03420487 ; Apprentissage [cs.LG]. Université Paris-Saclay, 2021. Français. ⟨NNT : 2021UPASG010⟩ (2021) BASE Show details 79 Hate speech and offensive language detection using transfer learning approaches ; Détection du discours de haine et du langage offensant utilisant des approches de Transfer Learning Mozafari, Marzieh. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03276023 ; Document and Text Processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS007⟩ (2021) BASE Show details 80 Automatic sentence simplification using controllable and unsupervised methods ; Simplification automatique de phrases à l'aide de méthodes contrôlables et non supervisées Martin, Louis. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03543971 ; Computation and Language [cs.CL]. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS265⟩ (2021) BASE Show details Page: 1 2 3 4 5 6 7 8...81

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