Results 101 to 110 of about 58,551 (288)
The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation
International Joint Conference on Artificial Intelligence, 2020 Word Sense Disambiguation (WSD) is the task of identifying the meaning of a word in a given context. It lies at the base of Natural Language Processing as it provides semantic information for words.
Tommaso Pasini
semanticscholar +1 more source
Imagination in Critical Theory: Utopia, Ideology, Aesthetics
Constellations, EarlyView.ABSTRACT This article explores the role of imagination in critical theory, addressing its conceptual ambiguity and its synthesis of three distinct but interrelated strands. The first, rooted in Freud's theory, sees imagination as wish‐fulfillment—necessarily unreal yet foundational to utopian thought.
Markus Gante
wiley +1 more source
Incorporating Glosses into Neural Word Sense Disambiguation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great help for WSD in the knowledge-based methods.
Fuli Luo +4 more
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Transactions of the Philological Society, EarlyView.Abstract This study investigates the lexicographical potential of Medieval Latin documentation from the Venetian area of the Italo‐Romance domain, highlighting the need for a systematic approach to bridge Latin and vernacular linguistic developments. The project MEDITA – Medieval Latin Documentation and Digital Italo‐Romance Lexicography.
Jacopo Gesiot
wiley +1 more source
Remnant Case Forms and Patterns of Syncretism in Early West Germanic
Transactions of the Philological Society, EarlyView.Abstract Early stages of the Old West Germanic languages differ from the other two branches, Gothic and Norse, by showing remnants of a fifth case in a‐ and ō‐stem nouns. The forms in question, which have the ending ‐i or ‐u, are conventionally labelled ‘instrumental’ and cover a range of functions, such as instrument, means, comitative and locative ...
Will Thurlwell
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An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation [PDF]
Conference on Machine Translation, 2018 Recent work has shown that the encoder-decoder attention mechanisms in neural machine translation (NMT) are different from the word alignment in statistical machine translation.
Gongbo Tang, Rico Sennrich, Joakim Nivre
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Word Sense Disambiguation using Clue Words
Journal of the Institute of Engineering, 2014 This paper presents a new model to disambiguate the correct sense of polysemy word based on the related context words for each different sense of the polysemy word. The related context words for each sense are referred to as clue words for the sense.
Subarna Shakya, Udaya Raj Dhungana
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Addiction, EarlyView.Abstract Aims The current study measured the extent to which different neurobehavioral indices of incentive‐motivational salience attribution to alcohol cues predict alcohol craving and consumption in the natural environment. Design, setting, and participants Laboratory study at a university in Missouri, USA, followed by a smartphone‐based 21‐day ...
Roberto U. Cofresí +4 more
wiley +1 more source
CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation
AAAI Conference on Artificial Intelligence, 2020 Word Sense Disambiguation (WSD) is the task of associating a word in context with one of its meanings. While many works in the past have focused on raising the state of the art, none has even come close to achieving an F-score in the 80% ballpark when ...
Caterina Lacerra +3 more
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Trajectory based word sense disambiguation [PDF]
Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004 Classifier combination is a promising way to improve performance of word sense disambiguation. We propose a new combinational method in this paper. We first construct a series of Naive Bayesian classifiers along a sequence of orderly varying sized windows of context, and perform sense selection for both training samples and test samples using these ...
Xiaojie Wang, Yuji Matsumoto
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