Results 1 to 10 of about 178 (71)
Context-enhanced concept disambiguation in Wikification
Intelligent Systems With Applications, 2023 Wikification is a method to automatically enrich a text with links to Wikipedia as a knowledge base. One step in Wikification is detecting ambiguous mentions, and one other step is disambiguating those mentions.In this paper, we worked on the mention ...
Kaveh Mahdaviani, Mozhgan Saeidi
exaly +4 more sources
Urdu Wikification and Its Application in Urdu News Recommendation System
IEEE Access, 2022 Wikification is the process of linking the entities found in a sample text to their individual Wikipedia or Wikidata pages. Many natural language processing applications, including question-answering systems, information retrieval, fraud detection, and ...
Muhammad Kamran Malik +2 more
exaly +4 more sources
WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres [PDF]
Law, 2021 Previous work on Entity Linking has focused on resources targeting non-nested proper named entity mentions, often in data from Wikipedia, i.e. Wikification.
Amir Zeldes
exaly +2 more sources
Web GIS in practice III: creating a simple interactive map of England's Strategic Health Authorities using Google Maps API, Google Earth KML, and MSN Virtual Earth Map Control [PDF]
International Journal of Health Geographics, 2005 This eye-opener article aims at introducing the health GIS community to the emerging online consumer geoinformatics services from Google and Microsoft (MSN), and their potential utility in creating custom online interactive health maps.
Boulos Maged
doaj +2 more sources
Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples [PDF]
International Journal of Health Geographics, 2011 'Wikification of GIS by the masses' is a phrase-term first coined by Kamel Boulos in 2005, two years earlier than Goodchild's term 'Volunteered Geographic Information'. Six years later (2005-2011), OpenStreetMap and Google Earth (GE) are now full-fledged,
Kamel Boulos Maged N +8 more
doaj +2 more sources
Concept Wikification for COVID-19
NLP4COVID@EMNLP, 2020 Understanding scientific articles related to COVID-19 requires broad knowledge about concepts such as symptoms, diseases and medicine. Given the very large and evergrowing scientific articles related to COVID19, it is a daunting task even for experts to ...
Panagiotis Lymperopoulos +2 more
exaly +2 more sources
Cross-lingual Wikification Using Multilingual Embeddings
North American Chapter of the Association for Computational Linguistics, 2016 Cross-lingual Wikification is the task of grounding mentions written in non-English documents to entries in the English Wikipedia. This task involves the problem of comparing textual clues across languages, which requires developing a notion of similarity
Chen-Tse Tsai, Dan Roth
exaly +2 more sources
Cross-Lingual Named Entity Recognition via Wikification
Conference on Computational Natural Language Learning, 2016 Named Entity Recognition (NER) models for language L are typically trained using annotated data in that language. We study cross-lingual NER , where a model for NER in L is trained on another, source, language (or multiple source languages). We introduce
Chen-Tse Tsai, Dan Roth, Stephen Mayhew
exaly +2 more sources
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes
Annual Meeting of the Association for Computational Linguistics, 2016 In this research, we build a Wikification corpus for advancing Japanese Entity Linking. This corpus consists of 340 Japanese newspaper articles with 25,675 entity mentions. All entity mentions are labeled by a fine-grained semantic classes (200 classes),
Davaajav Jargalsaikhan +3 more
exaly +2 more sources
Relational Inference for Wikification
Conference on Empirical Methods in Natural Language Processing, 2013 Wikification, commonly referred to as Disambiguation to Wikipedia (D2W), is the task of identifying concepts and entities in text and disambiguating them into the most specific corresponding Wikipedia pages.
Dan Roth
exaly +2 more sources