Results 41 to 50 of about 20,348 (235)
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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Evaluating the semantic web: a task-based approach [PDF]
, 2007 The increased availability of online knowledge has led to the design of several algorithms that solve a variety of tasks by harvesting the Semantic Web, i.e. by dynamically selecting and exploring a multitude of online ontologies.
A. Hotho +15 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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Natural language understanding: instructions for (Present and Future) use [PDF]
, 2018 In this paper I look at Natural Language Understanding, an area of Natural Language Processing aimed at making sense of text, through the lens of a visionary future: what do we expect a machine should be able to understand?
Navigli, R.
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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.
Stenetorp, P +3 more
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A Crowdsourced Frame Disambiguation Corpus with Ambiguity
, 2019 We present a resource for the task of FrameNet semantic frame disambiguation of over 5,000 word-sentence pairs from the Wikipedia corpus. The annotations were collected using a novel crowdsourcing approach with multiple workers per sentence to capture ...
Aroyo, Lora +2 more
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Applied SciencesChinese, a tonal language with inherent homophonic ambiguity, poses significant challenges for semantic disambiguation in natural language processing (NLP), hindering applications like speech recognition, dialog systems, and assistive technologies ...
Yu Sun +4 more
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Journal of Political Ecology, 2018 Theories of ownership have long focussed on the institutions governing resource stocks such as land, and largely neglected the ownership of resource flows such as the crops that flow from that land.
Tilman Hartley
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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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Robust Processing of Natural Language
, 1995 Previous approaches to robustness in natural language processing usually treat deviant input by relaxing grammatical constraints whenever a successful analysis cannot be provided by ``normal'' means. This schema implies, that error detection always comes
Menzel, Wolfgang
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