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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Nguyen, Tuan-Phong; Razniewski, Simon. - : Underline Science Inc., 2021 BASE Show details 2 AligNarr: Aligning Narratives on Movies ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Abouhamra, Mostafa; Mirza, Paramita. - : Underline Science Inc., 2021 BASE Show details 3 Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases ... Christmann, Philipp; Roy, Rishiraj Saha; Weikum, Gerhard. - : arXiv, 2021 BASE Show details 4 Question answering over knowledge bases with continuous learning Abujabal, Abdalghani. - : Saarländische Universitäts- und Landesbibliothek, 2019 BASE Show details 5 Credibility analysis of textual claims with explainable evidence Popat, Kashyap Kiritbhai. - : Saarländische Universitäts- und Landesbibliothek, 2019 BASE Show details 6 Enriching Knowledge Bases with Counting Quantifiers ... Mirza, Paramita; Razniewski, Simon; Darari, Fariz. - : arXiv, 2018 BASE Show details 7 DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning ... Popat, Kashyap; Mukherjee, Subhabrata; Yates, Andrew. - : arXiv, 2018 BASE Show details 8 Knowledge-driven entity recognition and disambiguation in biomedical text Siu, Amy [Verfasser]; Weikum, Gerhard [Akademischer Betreuer]. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2017 DNB Subject Category Language Show details 9 KnowNER: Incremental Multilingual Knowledge in Named Entity Recognition ... Seyler, Dominic; Dembelova, Tatiana; Del Corro, Luciano. - : arXiv, 2017 BASE Show details 10 People on Drugs: Credibility of User Statements in Health Communities ... Mukherjee, Subhabrata; Weikum, Gerhard; Danescu-Niculescu-Mizil, Cristian. - : arXiv, 2017 BASE Show details 11 Constructing lexicons of relational phrases ; Konstruktion von Lexika von relationalen Phrasen Grycner, Adam. - 2017 BASE Show details 12 Knowledge-driven entity recognition and disambiguation in biomedical text Siu, Amy. - 2017 BASE Show details 13 Probabilistic graphical models for credibility analysis in evolving online communities Mukherjee, Subhabrata. - 2017 BASE Show details 14 Question answering and query processing for extended knowledge graphs ; Frage-Antworten und Abfrageverarbeitung für erweiterte Wissengraphen Yahya, Mohamed. - 2016 BASE Show details 15 U-AIDA : a customizable system for named entity recognition, classification, and disambiguation ; U-AIDA : ein anpassbares System zur Erkennung, Klassifikation und Disambiguierung benannter Entitäten Yosef, Mohamed Amir. - 2015 Abstract: Recognizing and disambiguating entities such as people, organizations, events or places in natural language text are essential steps for many linguistic tasks such as information extraction and text categorization. A variety of named entity disambiguation methods have been proposed, but most of them focus on Wikipedia as a sole knowledge resource. This focus does not fit all application scenarios, and customization to the respective application domain is crucial. This dissertation addresses the problem of building an easily customizable system for named entity disambiguation. The first contribution is the development of a universal and flexible architecture that supports plugging in different knowledge resources. The second contribution is utilizing the flexible architecture to develop two domain-specific disambiguation systems. The third contribution is the design of a complete pipeline for building disambiguation systems for languages other than English that have poor annotated resources such as Arabic. The fourth contribution is a novel approach that performs fine-grained type classification of names in natural language text. ; Das Erkennen und die Disambiguierung von Entitäten wie etwa Personen, Organisationen oder Orte in natürlichsprachigem Text sind wertvolle Hilfsmittel für zahlreiche linguistische Aufgaben Biespielanwendungen sind Informationsextraktion oder die Kategorisierung von Texten. In diesem Kontext sind eine Vielzahl von Verfahren zur Disambiguierung erforscht worden. Allerdings basieren die meisten dieser Verfahren lediglich auf dem aus Wikipedia extrahierbaren “Wissen”. Diese Fokussierung eignet sich jedoch keines- wegs für alle Anwendungsszenarien, weshalb eine Anpassung an die jeweils vorliegende Anwendungsdomäne besonders wichtig ist. Diese Dissertation befasst sich daher mit dem Entwurf eines Universell einsetzbaren und individuell konfigurierbaren Systems zur Disambiguierung von Entitätsnamen. Der erste Beitrag dieser Arbeit ist die Entwicklung einer universell einsatzfähigen und anpassbaren Architektur, die das Einbinden unterschiedlicher Wissensquellen ermöglicht. Darauf aufbauend wird die Flexibilität der vorgestellten Architektur mittels zweier domänen-spezifischer Anwendungen belegt. Darüber hinaus wird die Vielseitigkeit des Verfahrens durch den Entwurf eines kompletten Verarbeitungsprozess für resourcenarme Sprachen am Beispiel der arabischen Sprache gezeigt. Abschließend wird ein neuartiger Ansatz zur feingranularen Typisierung von benannten Entitäten in natürlichsprachigem Text vorgestellt. Keyword: automatic classification; Automatische Klassifikation; ddc:004; Information Retrieval; multi-lingual program; Multi-Lingual Scholar URL: http://nbn-resolving.org/urn:nbn:de:bsz:291-scidok-63703 https://doi.org/10.22028/D291-25426 BASE Hide details 16 Discovering and disambiguating named entities in text ; Erkennung und Disambiguierung von Entitäten in Texten Hoffart, Johannes. - 2015 BASE Show details 17 FINET: context-aware fine-grained named entity typing Abujabal, Abdalghani; Corro, Luciano del; Gemulla, Rainer. - : Assoc. for Computational Linguistics, 2015 BASE Show details 18 Werdy: Recognition and disambiguation of verbs and verb phrases with syntactic and semantic pruning Corro, Luciano del [Verfasser]; Gemulla, Rainer [Verfasser]; Weikum, Gerhard [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2014 DNB Subject Category Language Show details 19 Senti-LSSVM: Sentiment-oriented multi-relation extraction with latent structural SVM Weikum, Gerhard; Gemulla, Rainer; Zhang, Yi. - : Assoc. for Computational Linguistics, 2014 BASE Show details 20 Werdy: Recognition and disambiguation of verbs and verb phrases with syntactic and semantic pruning Corro, Luciano del; Gemulla, Rainer; Weikum, Gerhard. - : Assoc. for Computational Linguistics, 2014 BASE Show details Page: 1 2

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