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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 Hits 1 – 11 of 11 1 In-Game Social Interactions to Facilitate ESL Students' Morphological Awareness, Language and Literacy Skills Tibi, Sana; Kennington, Casey; Han, Na-Eun... In: Computer Science Faculty Publications and Presentations (2021) BASE Show details 2 Language Acquisition is Embodied, Interactive, Emotive: a Research Proposal ... Kennington, Casey. - : arXiv, 2021 BASE Show details 3 Enriching Language Models with Visually-grounded Word Vectors and the Lancaster Sensorimotor Norms ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kennington, Casey. - : Underline Science Inc., 2021 Abstract: Language models are trained only on text despite the fact that humans learn their first language in a highly interactive and multimodal environment where the first set of learned words are largely concrete, denoting physical entities and embodied states. To enrich language models with some of this missing experience, we leverage two sources of information: (1) the Lancaster Sensorimotor norms, which provide ratings (means and standard deviations) for over 40,000 English words along several dimensions of embodiment, and which capture the extent to which something is experienced across 11 different sensory modalities, and (2) vectors from coefficients of binary classifiers trained on images for the BERT vocabulary. We pre-trained the ELECTRA model and fine-tuned the RoBERTa model with these two sources of information then evaluate using the established GLUE benchmark and the Visual Dialog benchmark. We find that enriching language models with the Lancaster norms and image vectors improves results in both ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/93qk-ze94 https://underline.io/lecture/39871-enriching-language-models-with-visually-grounded-word-vectors-and-the-lancaster-sensorimotor-norms BASE Hide details 4 KidSpell: A Child-Oriented, Rule-Based, Phonetic Spellchecker Downs, Brody; Anuyah, Oghenemaro; Shukla, Aprajita... In: Computer Science Faculty Publications and Presentations (2020) BASE Show details 5 Guiding the Selection of Child Spellchecker Suggestions Using Audio and Visual Cues Downs, Brody; Shukla, Aprajita; Krentz, Mikey... In: Computer Science Faculty Publications and Presentations (2020) BASE Show details 6 Evaluating and Improving Child-Directed Automatic Speech Recognition Booth, Eric; Carns, Jake; Kennington, Casey... In: Computer Science Faculty Publications and Presentations (2020) BASE Show details 7 Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics ... Moro, Daniele; Black, Stacy; Kennington, Casey. - : arXiv, 2019 BASE Show details 8 Symbol, Conversational, and Societal Grounding with a Toy Robot ... Kennington, Casey; Plane, Sarah. - : arXiv, 2017 BASE Show details 9 Incrementally resolving references in order to identify visually present objects in a situated dialogue setting Kennington, Casey. - : Universität Bielefeld, 2016 BASE Show details 10 Incremental Semantics for Dialogue Processing: Requirements, and a Comparison of Two Approaches Hough, Julian; Kennington, Casey; Schlangen, David... In: Proceedings of the 11th International Conference on Computational Semantics ; 11th International Conference on Computational Semantics ; https://hal-univ-paris.archives-ouvertes.fr/hal-01371420 ; 11th International Conference on Computational Semantics, 2015, London, United Kingdom (2015) BASE Show details 11 Situated incremental natural language understanding using Markov Logic Networks Kennington, Casey; Schlangen, David In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 1, 240-255 OLC Linguistik Show details

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