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Automated Fake News detection using computational Forensic Linguistics
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| 2 |
A Multilingual and Multidomain Study on Dialog Act Recognition Using Character-Level Tokenization
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In: Information ; Volume 10 ; Issue 3 (2019)
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A pretensão de universalidade da hermenêutica revisitada ; The hermeneutic claim of universality revisited
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Oliveira, Rafael Barros de. - : Biblioteca Digital de Teses e Dissertações da USP, 2019. : Universidade de São Paulo, 2019. : Faculdade de Filosofia, Letras e Ciências Humanas, 2019
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Reconhecimento de Actos de Diálogo Hierárquicos e Multi-Etiqueta em Dados em Espanhol
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In: Linguamática, Vol 11, Iss 1 (2019) (2019)
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Teleologia e moral na Ideia de uma história universal de um ponto de vista cosmopolita ; Teleology and moral in the Idea of a universal history from a cosmopolitan point of view
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Crítica imanente como práxis: apresentação e investigação no ensaio lukacsiano sobre a reificação ; Immanent critique as praxis: presentation and research in Lukác's reification essay
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Revisiting Centrality-as-Relevance : Support Sets and Similarity as Geometric Proximity
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In: http://jair.org/media/3387/live-3387-5920-jair.pdf (2011)
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Fundamentação pragmático-transcendental da ética do discurso ; Transcendental-pragmatic foundation of discourse ethics
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\"Teleologia e história em Kant: a Idéia de uma história universal de um ponto de vista cosmopolita\" ; \"Teleology and history in Kant: Idea for an universal history with a cosmopolitan purpose\"
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Nadai, Bruno. - : Biblioteca Digitais de Teses e Dissertações da USP, 2007
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Racionalidade do entendimento: um estudo sobre a pragmática kantiana de Jürgen Habermas ; Understanding´s racionality: a study about \"Kantian formal pragmatics\" of Jürgen Habermas
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| 11 |
How to Integrate Data from Different Sources
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In: http://www.inesc-id.pt/ficheiros/publicacoes/2161.pdf (2004)
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Reusing Linguistic Resources: a Case Study in Morphossyntactic Tagging
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In: http://www.l2f.inesc-id.pt/English/./documents/papers/2003RibeiroB.pdf (2003)
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Creating and Maintaining Multi-purpose Lexical Knowledge
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In: http://www.inesc-id.pt/ficheiros/publicacoes/3576.pdf
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| 14 |
Testing lexical approaches in QA4MRE
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In: http://ceur-ws.org/Vol-1178/CLEF2012wn-QA4MRE-RodriguesEt2012.pdf
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| 15 |
Mixed-Source Multi-Document Speech-to-Text Summarization
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In: http://aclweb.org/anthology-new/W/W08/W08-1406.pdf
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| 16 |
Summarizing Spoken Documents: avoiding distracting content
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In: http://www.propor2012.org/theses/RRibeiro_PROPOR2012-PhD.pdf
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| 17 |
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Revisiting Centrality-as-Relevance: Support Sets and Similarity as Geometric Proximity: Extended Abstract ∗
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In: http://ijcai.org/papers13/Papers/IJCAI13-481.pdf
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Abstract:
In automatic summarization, centrality-asrelevance means that the most important content of an information source, or of a collection of information sources, corresponds to the most central passages, considering a representation where such notion makes sense (graph, spatial, etc.). We assess the main paradigms and introduce a new centrality-based relevance model for automatic summarization that relies on the use of support sets to better estimate the relevant content. Geometric proximity is used to compute semantic relatedness. Centrality (relevance) is determined by considering the whole input source (and not only local information), and by taking into account the existence of minor topics or lateral subjects in the information sources to be summarized. The method consists in creating, for each passage of the input source, a support set consisting only of the most semantically related passages. Then, the determination of the most relevant content is achieved by selecting the passages that occur in the largest number of support sets. This model produces extractive summaries that are generic, and language- and domain-independent. Thorough automatic evaluation shows that the method achieves state-of-the-art performance, both in written text, and automatically transcribed speech summarization, even when compared to considerably more complex approaches. 1
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URL: http://ijcai.org/papers13/Papers/IJCAI13-481.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.8686
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