Results 31 to 40 of about 22,651 (201)
Frontiers in Psychology, 2023 Children’s ability to learn new words during their preschool years is crucial for further academic success. Previous research suggests that children rely on different learning mechanisms to acquire new words depending on the available context and ...
Gloria Pino Escobar +6 more
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Approaches to disambiguating toponyms [PDF]
SIGSPATIAL Special, 2011 Many approaches have been proposed in recent years in the context of Geographic Information Retrieval (GIR), mostly in order to deal with geographically constrained information in un-structured texts. Most of these approaches share a common scheme: in order to disambiguate a toponym t with n ...
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That's 'é' not 'þ' '?' or '☐': a user-driven context-aware approach to erroneous metadata in digital libraries [PDF]
, 2011 In this paper we present a novel system for user-driven integration of name variants when interacting with web-based information systems. The growth and diversity of online information means that many users experience disambiguation and collocation ...
Nichols, David M. +5 more
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Model Reuse in Machine Learning for Author Name Disambiguation: An Exploration of Transfer Learning
IEEE Access, 2020 Machine learning for author name disambiguation is usually conducted on the training and test subsets of labeled data created for a specific task. As a result, disambiguation models learned on heterogeneous labeled data are often inapplicable for other ...
Jinseok Kim, Jason Owen-Smith
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Sentence similarity-based source context modelling in PBSMT [PDF]
, 2010 Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation hypotheses. Inspired by context-rich word-sense disambiguation techniques,
Rejwanul Haque +9 more
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Disambiguation of Knowledge Domains by emphasize on Medicine Fields: Systematic Review [PDF]
Iranian Journal of Information Processing & ManagementIntroduction: The aim of this paper is to represent a comprehensive expression of disambiguation in the knowledge domains based on published’ researchesMethods: In order to facilitate the retrieval of studies in disambiguation’ field to conduct a ...
حمیده اسدی +2 more
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A Semi-Supervised Abbreviation Disambiguation Method Based on ACNN and Bi-LSTM
Journal of Harbin University of Science and Technology, 2022 In order to improve disambiguation accuracy of biomedical abbreviations， a semi-supervised abbreviation disambiguation method based on asymmetric convolutional neural networks and bidirectional long short term memory networks is proposed. Abbreviation is
ZHANG Chun-xiang +2 more
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Disambiguating toponyms in news [PDF]
Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05, 2005 This research is aimed at the problem of disambiguating toponyms (place names) in terms of a classification derived by merging information from two publicly available gazetteers. To establish the difficulty of the problem, we measured the degree of ambiguity, with respect to a gazetteer, for toponyms in news.
Eric Garbin, Inderjeet Mani
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Joint Morphological and Syntactic Disambiguation [PDF]
, 2007 In morphologically rich languages, should morphological and syntactic disambiguation be treated sequentially or as a single problem? We describe several efficient, probabilistically-interpretable ways to apply joint inference to morphological and ...
Smith, N. A., Cohen, S. B.
core
Durham - a word sense disambiguation system [PDF]
, 1999 Ever since the 1950's when Machine Translation first began to be developed, word sense disambiguation (WSD) has been considered a problem to developers. In more recent times, all NLP tasks which are sensitive to lexical semantics potentially benefit from
Hawkins, Paul Martin
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