Results 31 to 40 of about 19,142 (209)
Generalising semantic category disambiguation with large lexical resources for fun and profit [PDF]
Journal of Biomedical Semantics, 2014 Semantic Category Disambiguation (SCD) is the task of assigning the appropriate semantic category to given spans of text from a fixed set of candidate categories, for example Protein to "Fibrin". SCD is relevant to Natural Language Processing tasks such as Named Entity Recognition, coreference resolution and coordination resolution.
Sophia Ananiadou +4 more
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IEEE Access, 2020 Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity mentions in an input-text sequence to their correct references in a knowledge graph.
Zizheng Ji +3 more
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PLOS ONE, 2016 The NIF Registry developed and maintained by the Neuroscience Information Framework is a cooperative project aimed at cataloging research resources, e.g., software tools, databases and tissue banks, funded largely by governments and available as tools to research scientists.
Ozyurt, Ibrahim Burak +3 more
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Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation [PDF]
, 2017 Interpretability of a predictive model is a powerful feature that gains the trust of users in the correctness of the predictions. In word sense disambiguation (WSD), knowledge-based systems tend to be much more interpretable than knowledge-free ...
Biemann, Chris +6 more
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, 2020 The study of homonymy is vital to resolving fundamental problems in lexical semantics. In this paper, we propose four hypotheses that characterize the unique behavior of homonyms in the context of translations, discourses, collocations, and sense ...
Hauer, Bradley, Kondrak, Grzegorz
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NASARI: a novel approach to a Semantically-Aware Representation of items [PDF]
, 2015 The semantic representation of individual word senses and concepts is of fundamental importance to several applications in Natural Language Processing.
CAMACHO COLLADOS, Jose' +2 more
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An Optimized Lesk-Based Algorithm for Word Sense Disambiguation
Open Computer Science, 2016 Computational complexity is a characteristic of almost all Lesk-based algorithms for word sense disambiguation (WSD). In this paper, we address this issue by developing a simple and optimized variant of the algorithm using topic composition in documents ...
Ayetiran Eniafe Festus, Agbele Kehinde
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Word Sense Disambiguation Using Heterogeneous Language Resources [PDF]
, 2005 This paper proposes a robust method for word sense disambiguation (WSD) of Japanese. Four classifiers were combined in order to improve recall and applicability: one used example sentences in a machine readable dictionary (MRD), one used grammatical information in an MRD, and two classifiers were obtained by supervised learning from a sense-tagged ...
Kiyoaki Shirai, Takayuki Tamagaki
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Semantics, sensors, and the social web: The live social semantics experiments [PDF]
, 2010 The Live Social Semantics is an innovative application that encourages and guides social networking between researchers at conferences and similar events. The application integrates data and technologies from the Semantic Web, online social networks, and
A. Scherrer +7 more
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AutoExtend: Combining Word Embeddings with Semantic Resources
Computational Linguistics, 2017 We present AutoExtend, a system that combines word embeddings with semantic resources by learning embeddings for non-word objects like synsets and entities and learning word embeddings that incorporate the semantic information from the resource.
Sascha Rothe, Hinrich Schütze
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