natural language text
Document Representation in Natural Language Text Retrieval
... DOCUMENT REPRESENTATION IN NATURAL LANGUAGE TEXT RETRIEVAL D O C U M E N T R E P R E S E N T A T I O N IN N A T U R A L L A N G U A G E T E X T R E T R I E V A L Tomek Strzalkowski Courant Institute o[.] ...
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Generating Natural Language Text in a Dialog System
... Generating Natural Language Text in a Dialog System Generating Natural Language Text in a Dialog System Mare Koit Media Saluveer Department of Programming 2 Juhan Liivi Street Tartu State University 2[.] ...
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On Representing the Temporal Structure of a Natural Language Text
... On Representing the Temporal Structure of a Natural Language Text On Representing the Temporal Structure of a Natural Language Text* K u r t E b e r l e I n s t i t u t f i i r M a s c h i n e l l e S[.] ...
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A Service Oriented Framework for Natural Language Text Enrichment
... on natural language information extraction to include more structure and ...enhance text from unstructured documents to semi-structured graphs with additional ...full text enrichment stack, it ...
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Efficient Text Mining Using Side Information of Documents
... tasks. Text mining, also known as Intelligent Text Analysis, Text Data Mining or Knowledge-Discovery in Text (KDT) [4], is a variation in the field called data mining that tries discovery by ...
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Online Full Text
... A. Natural Language and DNA Sequence Test Data Natural language text used in this study is collected from a Turkish daily newspaper and it is approximately 100MB in ...the text, ...
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An Approach for Concept-based Automatic Multi-Document Summarization using Machine Learning
... Natural Language Processing (NLP) is an area of research and application that analyze how computers are used for understanding and manipulating natural language text or speech to ...
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Motivations among the Cream of the Crop
... This is a motivational study from a participant who received the top-notch award. The study was designed to expose the secrets toward academic achievement. It utilized the descriptive case study type on the real-life ...
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Title: Natural Language to Relational Query by Using Parsing Compiler
... in natural language texts and store them in a form that is suitable for automatic querying and ...a text, ...of text processing ...from natural language ...from natural ...
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Abstracts of Current Literature
... This paper describes the construction of a machine lexicon and its use in acquiring general world knowledge from natural language text.. Two types of text are identified, dictionary defi[r] ...
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Identification of Informativeness in Text using Natural Language Stylometry
... in text so that readers can retrieve this information more e ffi ...in natural language ...model text using a set of stylometric attributes to characterize variations in writing style present ...
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Document Text Classification Using Support Vector Machine
... Natural language processing[1] is a computer domain related to information engineering, computer engineering, machine learning and artificial intelligence focus on the interactions between human's languages ...
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Use of text-mining methods to improve efficiency in the calculation of drug exposure to support pharmacoepidemiology studies
... Phase 1: Definition of attributes and algorithm development In common with others, 7,12 we recognized that free-text dose instructions could be represented by three attributes– quantity, frequency and ...
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Automatic Text Summarization using Natural Language Processing
... Automatic Text Summarization approach depends on upon the semantic data of the concentration in a substance. So this way, gathered parameters like approaches, spots of different substances are not considered. In ...
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Pretraining Based Natural Language Generation for Text Summarization
... We also conduct experiments on the New York Times(NYT) dataset which also consists of many news articles. The original dataset can be applied here. 1 In our experiment, we follow the dataset splits and other pre-process ...
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Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
... In Natural Language Generation (NLG), End- to-End (E2E) systems trained through deep learning have recently gained a strong inter- ...a Natural Language Under- standing (NLU) ...
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A Cross Sentence Latent Variable Model for Semi Supervised Text Sequence Matching
... more text sequences. For example, in natu- ral language inference, a system has to infer the relationship between a premise and a hypothesis sentence, and in paraphrase identification a sys- tem should find ...
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Syllable-based Bengali text to speech system
... (optimal text selection, grapheme-to-phoneme (G2P) conversion, and automatic segmentation tools) in detail and experiment results of the different module have ...
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A Rule And Statistical Based Model For Descriptive Text Analysis Using Natural Language Processing
... the Natural Language process for the manipulation of the text or in some way the resulting operation of the ...the text and with the help of the signals and the inbuilt library transmitting ...
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Cross lingual Text Classification Using Topic Dependent Word Probabilities
... Cross-lingual text classification is a major challenge in natural language processing, since often training data is available in only one language (target language), but not avail- able ...
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