natural language text generation
Automatic Text Generation
... AUTOMATIC TEXT GENERATION 1 0 INTRODUCTION Automatic text generation is the generation of natural language texts by computer It has applications in automatic documentation systems, automatic letter wr[.] ...
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A Probabilistic Approach to Text Generation of Human Motions extracted from Kinect Videos
... a text and its semantics with less supervision and domain ...of natural language description of the content of the records is obtained by machine ...a text generation model that unifies ...
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Text Content and Task Performance in the Evaluation of a Natural Language Generation System
... To identify the characteristics of the texts which con- tributed to the decision-making performance, two kinds of quantitative methods were used. The first compared the computer (C) and human-authored (H) texts in terms ...
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The Text System for Natural Language Generation: An Overview
... For example, in response to requests for definitions, the constituency schema is selected when the relevant knowledge pool contains a rich description of the questioned object's sub-clas[r] ...
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A Model of Revision in Natural Language Generation
... As a general area of study, the revision process presents interesting problems: Recognition of flaws in text requires a descriptive theory of what constitutes well written prose and a pa[r] ...
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Towards Automatic Generation of Natural Language Generation Systems
... Various corpora are used in these experi- ments. For training, there are two distinct corpora. First, there is the previously in- troduced Penn Treebank (PTB). As the alternative, there is a human-human corpus of dialogs ...
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Book Reviews: A Theory of Computer Semiotics: Semiotic Approaches to Construction and Assessment of Computer Systems
... presentation planning as an extension of text planning." In Aspects of Automated Natural Language Generation, edited by Robert Dale, Eduard H.. "Generating referring expressions in a mul[r] ...
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Narrative: Text Generation Model from Data
... narratives generation in text format has undergone a constant development in the last decades, in research of all the aspects related to natural ...massive generation of contents on real time, ...
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Natural Language Generation with Vocabulary Constraints
... To perform the sampling required for derivation tree construction we must define P(o|c). Using M, we begin by converting a large corpus of sen- tence segmented text into a training set of deriva- tion trees. ...
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Natural Language Generation from Pictographs
... The Pictograph-to-Text translation system con- tains a number of decoding parameters. Threshold pruning determines whether a new path should be added to the existing beam, based on the probabil- ity of that path ...
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A Personal Storytelling about Your Favorite Data
... automatic text generation, the text − to − text approach is used to automat- ically summarize texts (Rotem, 2003) or opin- ions (Labb´e and Portet, 2012) expressed in nat- ural ...− ...
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Procedural Text Generation from an Execution Video
... In recent years, there has been a surge of interest in automatically describing images or videos in a natural language. These descriptions are useful for image/video search, etc. In this paper, we focus on ...
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Linguistic Research & Engineering (LRE). An overview. Telematics programme 1991-1994
... X ALEP The Advanced Language Engineering Platform 21 AN1HEM Advanced Natural Language Interface for Multilingual Text Generation in Health Care 23 Construction, Augmentation and Use of K[r] ...
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Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder
... for natural language generation ...well-studied natural language generation tasks — Machine Translation, Question Generation, and Text Summarization — and obtain ...
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Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
... The approach of joint learning has been tested in the literature in other domains than NLG/NLU for tasks such machine translation (Cheng et al., 2016; He et al., 2016; Tu et al., 2017) and speech processing (Tjandra et ...
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Pretraining Based Natural Language Generation for Text Summarization
... various natural language processing tasks, such as textual entailment, name entity recognition and machine reading ...novel natural language generation model based on pre-trained ...
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ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation
... S = {Word Typing, Deletion, Substitution, Reordering}. If the annotator chooses Substi- tution, he can select to show a list of words in the gray panel recommended by either word similarity or a pre-trained ...
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Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
... Singh A Decision-Theoretic Approach to Natural Language Generation Nathan McKinley and Soumya Ray Generating Code-switched Text for Lexical Learning Igor Labutov and Hod Lipson Omni-word[r] ...
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Design and Implementation of Text To Speech Conversion for Visually Impaired People
... in text to speech ...his/her text provided in the text field in the ...a text to speech engine developed for American ...Nigerian language so as to make text to speech technology ...
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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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