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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...9 Hits 1 – 20 of 179 1 An Evolution Gaining Momentum—The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases Andre Wirries; Florian Geiger; Ludwig Oberkircher; Samir Jabari In: Diagnostics; Volume 12; Issue 4; Pages: 836 (2022) BASE Show details 2 A Comparative Review on Applications of Different Sensors for Sign Language Recognition Muhammad Saad Amin; Syed Tahir Hussain Rizvi; Md. Murad Hossain In: Journal of Imaging; Volume 8; Issue 4; Pages: 98 (2022) BASE Show details 3 Analysing the Sentiment of Air-Traveller: A Comparative Analysis ... Homaid, Mohammed Salih A. - : Cranfield Online Research Data (CORD), 2022 BASE Show details 4 Analysing the Sentiment of Air-Traveller: A Comparative Analysis ... Homaid, Mohammed Salih A. - : Cranfield Online Research Data (CORD), 2022 BASE Show details 5 Neural-based Knowledge Transfer in Natural Language Processing Wang, Chao. - 2022 BASE Show details 6 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 7 A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction Giarelis, Nikolaos; Kanakaris, Nikos; Karacapilidis, Nikos In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287681 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.635-645, ⟨10.1007/978-3-030-79150-6_50⟩ (2021) BASE Show details 8 Unsupervised Learning of Intuitive Physics from Videos ; Apprentissage non-supervisé de la physique intuitive Riochet, Ronan. - : HAL CCSD, 2021 In: https://hal.archives-ouvertes.fr/tel-03530321 ; Artificial Intelligence [cs.AI]. Ecole Normale Superieure de Paris - ENS Paris, 2021. English (2021) BASE Show details 9 Textbrytning av mäklartexter och slutpris : Med BERT, OLS och Elman regressionsnätverk ; Text mining of broker texts and sold price : Using BERT, OLS and Elman regression network Challita, Johan; Fjellström, Emil. - : KTH, Hälsoinformatik och logistik, 2021 BASE Show details 10 Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain—A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups André Wirries; Florian Geiger; Ahmed Hammad; Andreas Redder; Ludwig Oberkircher; Steffen Ruchholtz; Ingmar Bluemcke; Samir Jabari In: Diagnostics; Volume 11; Issue 11; Pages: 1934 (2021) BASE Show details 11 Discovering structure in speech recordings: Unsupervised learning of word and phoneme like units for automatic speech recognition Walter, Oliver. - 2021 In: Fraunhofer IAIS (2021) BASE Show details 12 Going beyond our means: A proposal for improving psycholinguistic methods Goldshtein, Maria. - 2021 BASE Show details 13 Unsupervised Deep Learning for Fake Content Detection in Social Media Tao, Jie; Fang, Xing; Zhou, Lina. - 2021 BASE Show details 14 A cascaded unsupervised model for PoS tagging Bölücü, Necva; Can, Burcu In: 20 ; 1 (2021) BASE Show details 15 A study on the impact of neural architectures for Unsupervised Machine Translation Sanz Rodríguez, Aitana. - : Universitat Politècnica de València, 2021 BASE Show details 16 Strong Learning of Probabilistic Tree Adjoining Grammars Clark, Alexander In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 17 Consistent unsupervised estimators for anchored PCFGs Clark, Alexander; Fijalkow, Nathanaël In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 18 Unsupervised Structural Graph Node Representation Learning Joaristi, Mikel In: Boise State University Theses and Dissertations (2020) BASE Show details 19 A Model of Unsupervised Formal Learning for Natural Language Collard, Jacob Neil. - 2020 Abstract: 236 pages ; Formal language theory has shown that strong notions of learnability do not apply directly to classes of formal language that may include natural languages, regardless of the number of strings presented to the learner. However, research in statistical learning has shown that neural network language models can predict certain linguistic properties when trained on text alone. Unsupervised statistical models that leverage grammar formalisms have not yet achieved the same level of performance, despite advantages in interpretability. I introduce a variably supervised learning algorithms that can directly apply the rules of a number of different grammar formalisms to learn from natural language texts. This algorithm, the Missing Link algorithm, allows for the direct comparison of different grammar formalisms and learning environments. I compare results for Combinatory Categorial Grammars, Tree-Adjoining Grammars, and Relational Grammars with a number of different parameters. These results show that weakly equivalent grammar formalisms, such as CCGs and TAGs, perform differently in unsupervised learning and that directly encoding linguistic features into Relational Grammars can improve performance at specific linguistic tasks, at least in English. I also show that the same algorithm can be used to learn simple a semantics semantics using Abstract Meaning Representations. These results open new lines of research into the exploration of learning models for natural language. Keyword: combinatory categorial grammar; grammar formalisms; semantic parsing; syntactic theory; tree-adjoining grammar; unsupervised learning URL: http://dissertations.umi.com/cornellgrad:12154 https://doi.org/10.7298/fj3m-7673 https://hdl.handle.net/1813/103003 BASE Hide details 20 Towards unsupervised learning of speech features in the wild Rivière, Morgane; Dupoux, Emmanuel In: SLT 2020 : IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03070411 ; SLT 2020 : IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual, China (2020) BASE Show details Page: 1 2 3 4 5...9

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