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{ "pk": 32354, "title": "Building Lexical Representations Dynamically Using Artificial Neural Networks", "subtitle": null, "abstract": "The topic of this paper is the development of dynamic lexical representations using artificial neural networks. In previous work on connectionist natural language processing a lot of approaches have experimented with manually encoded lexicon representations for words. However from a cognitive point of view as well as an engineering point of view it is difficult to find appropriate representations for the lexicon entries for a given task. In this context, this paper explores the use of building word representations during a training process for a particular task. Using simple recurrent networks, principal component analysis and hierarchical clustering we show how lexical representations can be formed dynamically, especially for neural network modules in large, real-world, computational speech-language modeIs.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Long Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/2b8363cw", "frozenauthors": [ { "first_name": "Stefan", "middle_name": "", "last_name": "Wermter", "name_suffix": "", "institution": "Laboratoire de la Physiologie de la Perception et de l'Action, College de France/CNRS", "department": "" }, { "first_name": "Manuela", "middle_name": "", "last_name": "Meurer", "name_suffix": "", "institution": "UCLA Psychology Department", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1997-01-01T10:00:00-08:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32354/galley/23419/download/" } ] }