Results 221 to 230 of about 2,664 (259)
A drift-aware RS2FS pipeline with confidence gating for IDS. [PDF]
Sci RepSakthivel G, Kumarasamy AK.
europepmc +1 more source
Keyword-Driven Resource Disambiguation over RDF Knowledge Bases
, 2013 Keyword search is the most popular way to access information. In this paper we introduce a novel approach for determining the correct resources for user-supplied queries based on a hidden Markov model. In our approach the user-supplied query is modeled as the observed data and the background knowledge is used for parameter estimation.
Saeedeh Shekarpour +2 more
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Minimalist Entity Disambiguation for Mid-Resource Languages
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), 2023 For many languages and applications, even though enough data is available for training Named Entity Disambiguation (NED) systems, few off-the-shelf models are available for use in practice. This is due to both the large size of state-of-the-art models, and to the computational requirements for recreating them from scratch.
Kruit, Benno
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Effective Entity Disambiguation in Low-Resource Languages: A Study of Icelandic
2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023Hafsteinn Einarsson, Hrafn Loftsson
exaly +2 more sources
Word sense disambiguation for low resource languages: setswana collocations
International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023Boago Okgetheng +2 more
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Resources for Nepali Word Sense Disambiguation
2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008Word sense disambiguation (WSD) is a process of identifying proper meaning of words that may have multiple meanings. It is regarded as one of the most challenging problems in the field of natural language processing (NLP). Nepali Language also has words that have multiple meanings, thus giving rise to the problem of WSD in it.
Niraj Shrestha +2 more
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Named Entity Disambiguation for Resource-Poor Languages
Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval, 2015Named entity disambiguation (NED) is the task of linking ambiguous names in natural language text to canonical entities like people, organizations or places, registered in a knowledge base. The problem is well-studied for English text, but few systems have considered resource-poor languages that lack comprehensive name-entity dictionaries, entity ...
Gad-Elrab, M., Yosef, M., Weikum, G.
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On the Quality of Lexical Resources for Word Sense Disambiguation
2004Word Sense Disambiguation (WSD) systems are usually evaluated by comparing their absolute performance, in a fixed experimental setting, to other alternative algorithms and methods. However, little attention has been paid to analyze the lexical resources and the corpora defining the experimental settings and their possible interactions with the overall ...
Lluís Màrquez +4 more
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