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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...16 Hits 1 – 20 of 311 1 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) Abstract: How do children acquire language through unsupervised or noisy supervision? How do their brain process language? We take this perspective to machine learning and robotics, where part of the problem is understanding how language models can perform grounded language acquisition through noisy supervision and discussing how they can account for brain learning dynamics. Most prior works have tracked the co-occurrence between single words and referents to model how infants learn wordreferent mappings. This paper studies cross-situational learning (CSL) with full sentences: we want to understand brain mechanisms that enable children to learn mappings between words and their meanings from full sentences in early language learning. We investigate the CSL task on a few training examples with two sequence-based models: (i) Echo State Networks (ESN) and (ii) Long-Short Term Memory Networks (LSTM). Most importantly, we explore several word representations including One-Hot, GloVe, pretrained BERT, and fine-tuned BERT representations (last layer token representations) to perform the CSL task. We apply our approach to three diverse datasets (two grounded language datasets and a robotic dataset) and observe that (1) One-Hot, GloVe, and pretrained BERT representations are less efficient when compared to representations obtained from fine-tuned BERT. (2) ESN online with final learning (FL) yields superior performance over ESN online continual learning (CL), offline learning, and LSTMs, indicating the more biological plausibility of ESNs and the cognitive process of sentence reading. (2) LSTM with fewer hidden units showcases higher performance for small datasets, but LSTM with more hidden units is Cross-Situational Learning needed to perform reasonably well on larger corpora. (4) ESNs demonstrate better generalization than LSTM models for increasingly large vocabularies. Overall, these models are able to learn from scratch to link complex relations between words and their corresponding meaning concepts, handling polysemous and synonymous words. Moreover, we argue that such models can extend to help current human-robot interaction studies on language grounding and better understand children's developmental language acquisition. We make the code publicly available * . Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]; [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]; BERT; cross-situational learning; echo state networks; grounded language; LSTM URL: https://hal.archives-ouvertes.fr/hal-03628290 https://hal.archives-ouvertes.fr/hal-03628290v2/file/Journal_of_Social_and_Robotics.pdf https://hal.archives-ouvertes.fr/hal-03628290v2/document BASE Hide details 2 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 3 A Neural Pairwise Ranking Model for Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022 BASE Show details 4 pNLP-Mixer: an Efficient all-MLP Architecture for Language ... Fusco, Francesco; Pascual, Damian; Staar, Peter. - : arXiv, 2022 BASE Show details 5 Does Corpus Quality Really Matter for Low-Resource Languages? ... Artetxe, Mikel; Aldabe, Itziar; Agerri, Rodrigo. - : arXiv, 2022 BASE Show details 6 A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ... Lees, Alyssa; Tran, Vinh Q.; Tay, Yi. - : arXiv, 2022 BASE Show details 7 Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ... Toyoda, Minori; Suzuki, Kanata; Hayashi, Yoshihiko. - : arXiv, 2022 BASE Show details 8 A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots ... Zhang, Sai; Hu, Yuwei; Wu, Yuchuan. - : arXiv, 2022 BASE Show details 9 Improving Intrinsic Exploration with Language Abstractions ... Mu, Jesse; Zhong, Victor; Raileanu, Roberta. - : arXiv, 2022 BASE Show details 10 GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records ... Yang, Xi; PourNejatian, Nima; Shin, Hoo Chang. - : arXiv, 2022 BASE Show details 11 Chain-based Discriminative Autoencoders for Speech Recognition ... Lee, Hung-Shin; Huang, Pin-Tuan; Cheng, Yao-Fei. - : arXiv, 2022 BASE Show details 12 Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ... Liu, Tingting; Giorgi, Salvatore; Tao, Xiangyu. - : arXiv, 2022 BASE Show details 13 Improving Word Translation via Two-Stage Contrastive Learning ... Li, Yaoyiran; Liu, Fangyu; Collier, Nigel. - : arXiv, 2022 BASE Show details 14 Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction ... Hofstätter, Sebastian; Khattab, Omar; Althammer, Sophia. - : arXiv, 2022 BASE Show details 15 COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics ... Qin, Lianhui; Welleck, Sean; Khashabi, Daniel. - : arXiv, 2022 BASE Show details 16 EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English ... Ma, Weicheng; Datta, Samiha; Wang, Lili. - : arXiv, 2022 BASE Show details 17 Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers ... Crothers, Evan; Japkowicz, Nathalie; Viktor, Herna. - : arXiv, 2022 BASE Show details 18 The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance Caucheteux, Charlotte; King, Jean-Rémi In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021) BASE Show details 19 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 20 Privacy and utility of x-vector based speaker anonymization Srivastava, Brij Mohan Lal; Maouche, Mohamed; Sahidullah, Md... In: https://hal.inria.fr/hal-03197376 ; 2021 (2021) BASE Show details Page: 1 2 3 4 5...16

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