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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 3 4 5...16 Hits 1 – 20 of 302 1 Um método adaptativo para análise sintática do Português Brasileiro. ; An adaptive method for syntactic analysis of Brazilian Portuguese. Padovani, Djalma. - : Biblioteca Digital de Teses e Dissertações da USP, 2022. : Universidade de São Paulo, 2022. : Escola Politécnica, 2022 BASE Show details 2 Graph-based broad-coverage semantic parsing Lyu, Chunchuan. - : The University of Edinburgh, 2021 BASE Show details 3 Wide-coverage statistical parsing with minimalist grammars Torr, John Philip. - : The University of Edinburgh, 2019 BASE Show details 4 Document Image Parsing and Understanding using Neuromorphic Architecture Qiu, Qinru In: DTIC (2015) BASE Show details 5 Learning to Understand Natural Language with Less Human Effort Krishnamurthy, Jayant In: DTIC (2015) BASE Show details 6 Natural Language Semantics using Probabilistic Logic Beltagy, Islam In: DTIC (2014) BASE Show details 7 Arabic Natural Language Processing System Code Library Tratz, Stephen C In: DTIC (2014) BASE Show details 8 Text collection for the "Beja parser" Wedekind, Klaus. - 2014 BASE Show details 9 Building on Deep Learning Pickett, Marc In: DTIC (2013) BASE Show details 10 Corrección no supervisada de dependencias sintácticas de aposición mediante clases semánticas ; Unsupervised correction of syntactic dependencies of apposition through semantic classes Cabaleiro Barciela, Bernardo; Peñas Padilla, Anselmo. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2013 BASE Show details 11 Le programme Mogador en linguistique formelle arabe et ses applications dans le domaine de la recherche et du filtrage sémantique Jaccarini, André; Gaubert, Christian In: https://halshs.archives-ouvertes.fr/halshs-00912009 ; 2012 (2012) BASE Show details 12 An All-Fragments Grammar for Simple and Accurate Parsing Bansal, Mohit; Klein, Daniel In: DTIC (2012) BASE Show details 13 Incremental Syntactic Language Models for Phrase-Based Translation Schwartz, Lane; Callison-Burch, Chris; Schuler, William... In: DTIC (2011) BASE Show details 14 Introduction of Automation for the Production of Bilingual, Parallel-Aligned Text Tanenbaum, Will; LaRocca, Steven A; Morgan, John J... In: DTIC (2011) BASE Show details 15 Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence Hecking, Matthias; Wotzlaw, Andreas; Coote, Ravi In: DTIC (2011) Abstract: Written information for military purposes is available in abundance. Documents are written in many languages. The question is how we can automate the content extraction of these documents. One possible approach is based on shallow parsing (information extraction) with application specific combination of analysis results. One example of this, the ZENON research system, does a partial content analysis of some English, Dari, and Tajik texts. Another principal approach for content extraction is based on a combination of deep and shallow parsing with logical inferences on the analysis results. In the project "Multilingual content analysis with semantic inference on military relevant texts" (mIE) we followed the second approach. In this paper, we present the results of the mIE project. First, we briefly contrast the ZENON project to the mIE project. In the main part of the paper, the mIE project is presented. After explaining the combined deep and shallow parsing approach with Head-driven Phrase Structured Grammars, the inference process is introduced. Then we show how background knowledge (WordNet, YAGO) is integrated into the logical inferences to increase the extent, quality, and accuracy of the content extraction. The prototype also is presented. The presentation includes briefing charts. ; Presented at the International Command and Control Research and Technology Symposium (ICCRTS 2011) (16th) held in Quebec City, Canada, on 21-23 June 2011. Published in the Proceedings of the 16th International Command and Control Research and Technology Symposium, June 2011. Keyword: *AUTOMATION; *DATA FUSION; *DOCUMENTS; *EXTRACTION; *FOREIGN LANGUAGES; *INFORMATION PROCESSING; *MILITARY INTELLIGENCE; *MULTILINGUAL CONTENT EXTRACTION; ACCURACY; BRIEFING CHARTS; DEEP PARSING; FOREIGN REPORTS; GERMANY; INFORMATION EXTRACTION; Information Science; Linguistics; LOGICAL INFERENCES; MIE PROJECT; MILITARY APPLICATIONS; Military Intelligence; MULTILINGUAL CONTENT ANALYSIS; NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; PARSERS; PARTIAL CONTENT ANALYSIS; QUALITY; SEMANTIC TEXT ANALYSIS; SEMANTICS; SHALLOW PARSING; SYMPOSIA; ZENON PROJECT URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA546910 http://www.dtic.mil/docs/citations/ADA546910 BASE Hide details 16 Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques Ge, Ruifang In: DTIC (2010) BASE Show details 17 A Formal Model of Ambiguity and its Applications in Machine Translation Dyer, Christopher J In: DTIC (2010) BASE Show details 18 Rapidly Customizable Spoken Dialogue Systems Allen, James In: DTIC (2009) BASE Show details 19 Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text Cowie, James; Helmreich, Stephen; Dang, Hung H. In: DTIC (2009) BASE Show details 20 Wide-coverage deep statistical parsing using automatic dependency structure annotation Cahill, Aoife; Burke, Michael; O'Donovan, Ruth... In: Cahill, Aoife orcid:0000-0002-3519-7726 , Burke, Michael, O'Donovan, Ruth, Riezler, Stefan, van Genabith, Josef orcid:0000-0003-1322-7944 and Way, Andy orcid:0000-0001-5736-5930 (2008) Wide-coverage deep statistical parsing using automatic dependency structure annotation. Computational Linguistics, 34 (1). pp. 81-124. (2008) BASE Show details Page: 1 2 3 4 5...16

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