Essays about: "disambiguering"

Found 3 essays containing the word disambiguering.

  1. 1. Exploring Emerging Entities and Named Entity Disambiguation in News Articles

    University essay from Linköpings universitet/Interaktiva och kognitiva system

    Author : Robin Ellgren; [2020]
    Keywords : NLP; Emerging Entities; NED; NER; Entity Linking;

    Abstract : Publicly editable knowledge bases such as Wikipedia and Wikidata have over the years grown tremendously in size. Despite the quick growth, they can never be fully complete due to the continuous stream of events happening in the world. READ MORE

  3. 2. Improving Artist Content Matching with Stacking : A comparison of meta-level learners for stacked generalization

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Fannar Magnússon; [2018]
    Keywords : machine learning; stacked generalization; combining classifiers; meta-learning; name disambiguation.; maskininlärning; staplade generaliseringar; kombinerande klassificerare; metainlärning; namn disambiguering.;

    Abstract : Using automatic methods to assign incoming tracks and albums from multiple sources to artists entities in a digital rights management company, where no universal artist identifier is available and artist names can be ambiguous, is a challenging problem. In this work we propose to use stacked generalization to combine the predictions of heterogeneous classifiers for an improved quality of artist content matching on two datasets from a digital rights management company. READ MORE

  4. 3. Translation of keywords between English and Swedish

    University essay from KTH/Data- och elektroteknik

    Author : Tobias Ahmady; Sander Klein Rosmar; [2014]
    Keywords : machine translation; MT; rule-based machine translation; RBMT; word sense disambiguation; WSD; translation disambiguation; translation; knowledge-based word sense disambiguation; keyword translation; maskinöversättning; översättning; tvetydiga översättningar; disambiguering;

    Abstract : In this project, we have investigated how to perform rule-based machine translation of sets of keywords between two languages. The goal was to translate an input set, which contains one or more keywords in a source language, to a corresponding set of keywords, with the same number of elements, in the target language. READ MORE