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Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification
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In: Sensors; Volume 22; Issue 5; Pages: 1899 (2022)
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Investigating the impact of preprocessing on document embedding: an empirical comparison
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In: ISSN: 1759-1163 ; EISSN: 1759-1171 ; International Journal of Data Mining, Modelling and Management ; https://hal.inrae.fr/hal-03574696 ; International Journal of Data Mining, Modelling and Management, Inderscience, 2021, 13 (4), pp.351-363 (2021)
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A Review of Urdu Sentiment Analysis with Multilingual Perspective: A Case of Urdu and Roman Urdu Language
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In: Computers; Volume 11; Issue 1; Pages: 3 (2021)
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An LDA-based Approach for Product Attribute Identification from Online Customer Reviews
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Bridging the “gApp”: improving neural machine translation systems for multiword expression detection
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In: 11 ; 1 ; 61 ; 80 (2020)
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A large Portuguese corpus on-line: cleaning and preprocessing
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Improving subject-verb agreement in SMT
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In: Vanmassenhove, Eva orcid:0000-0003-1162-820X , Du, Jinhua orcid:0000-0002-3267-4881 and Way, Andy orcid:0000-0001-5736-5930 (2016) Improving subject-verb agreement in SMT. In: Fifth Workshop on Hybrid Approaches to Translation (HyTra), 1 June 2016, Riga, Latvia. (2016)
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Examination and utilization of rare features in text classification of injury narratives
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In: Open Access Dissertations (2016)
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Joint Segmentation and POS Tagging for Arabic Using a CRF-based Classifier
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/855_Paper.pdf (2012)
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Évaluation de G-LexAr pour la traduction automatique statistique
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In: TALN'11 ; https://hal.archives-ouvertes.fr/hal-01070023 ; TALN'11, Jun 2011, Montpellier, France. pp.261-266 (2011)
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Évaluation de G-LexAr pour la traduction automatique statistique
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In: TALN'11 ; https://hal.archives-ouvertes.fr/hal-01070023 ; TALN'11, Jun 2011, Montpellier, France. pp.261-266 (2011)
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Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
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In: DTIC (2009)
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PARADISE Based Search Engine at TREC 2009 Web Track
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In: DTIC (2009)
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Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
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In: DTIC (2009)
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Abstract:
This paper reports on the work that has been conducted by Fraunhofer SCAI for Trec Chemistry (Trec-Chem) track 2009. The team of Fraunhofer SCAI participated in two tasks, namely Technology Survey and Prior Art Search. The core of the framework is an index of 1.2 million chemical patents provided as a data set by Trec. For the technology survey, three runs were submitted based on semantic dictionaries and noun phrases. For the prior art search task, several fields were introduced into the index that contained normalized noun phrases, biomedical as well as chemical entities. Altogether, 36 runs were submitted for this task that were based on automatic querying with tokens, noun phrases and entities along with different search strategies. ; Prepared in cooperation with Bonn-Aachen International Centre for Information Technology (B-IT), Bonn, Germany. Proceedings of the Text REtrieval Conference (18th), TREC 2009, held in Gaithersburg, MD, 17-20 Nov 2009. The conference was co-sponsored by the National Institute of Standards and Technology (NIST) the Defense Advanced Research Projects Agency (DARPA) and the Advanced Research and Development Activity (ARDA). The original document contains color images.
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Keyword:
*BIOMEDICINE; *CHEMISTRY; *INDEXES; *PATENTS; AUTOMATIC QUERYING; Computer Programming and Software; DATA BASES; FOREIGN REPORTS; GERMANY; INFORMATION RETRIEVAL; Information Science; MARKUP LANGUAGES; NOUN PHRASES; PREPROCESSING; SEMANTIC DICTIONARIES; SEMANTICS; SYMPOSIA; TEXT PROCESSING
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA519347 http://www.dtic.mil/docs/citations/ADA519347
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PLATO: Portable Language-Independent Adaptive Translation from OCR
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In: DTIC (2008)
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A web smart space framework for information mining: a base for intelligent search engines
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