[PDF] Top 20 Collective Content Selection for Concept to Text Generation
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Collective Content Selection for Concept to Text Generation
... language generation practitioners (Robin, 1994; Tanaka-Ishii et ...in content organization and is there- fore amenable to current generation ... See full document
8
Unsupervised Concept to text Generation with Hypergraphs
... Concept-to-text generation refers to the task of automatically producing textual output from non-linguistic ...captures content selection (“what to say”) and surface realization (“how ... See full document
10
Concept to text Generation via Discriminative Reranking
... for concept-to-text generation, the task of automatically producing textual output from non-linguistic ...of content se- lection (“what to say”) and surface realization (“how to say”) into a ... See full document
10
Inducing Document Plans for Concept to Text Generation
... Their content plan- ner has no notion of ...record selection into a series of locally coher- ent decisions, by first deciding on what records to talk ... See full document
12
Sentence Level Content Planning and Style Specification for Neural Text Generation
... with concept-to- text generation, where sentences are produced from structured representations, such as database records (Konstas and Lapata, 2013; Lebret et ...long text, which is addressed ... See full document
12
Investigating Content Selection for Language Generation using Machine Learning
... The content selection component of a nat- ural language generation system decides which information should be communi- cated in its ...treat content se- lection as a collective ... See full document
8
Collective Search for Concept Disambiguation
... formulate concept assignment as an optimization problem that assigns concepts to mentions such that the mention-concept compatibility and global concept-concept coherence is ...graph-based ... See full document
16
Enhanced Transformer Model for Data to Text Generation
... We presented a Transformer-based data-to-text generation model. Experimental results have shown that our two modifications on the Trans- former model significantly improve the content- oriented ... See full document
9
Statistical Acquisition of Content Selection Rules for Natural Language Generation
... the content selec- tion ...human-produced text) aligned against re- lated semantic data ...a text, identifying all information that is potentially relevant (previously termed global focus (McKeown, ... See full document
8
Collective Generation of Natural Image Descriptions
... tecting content elements ...image content using a set of En- glish words, then language generation constructs a full description by adding function words and optionally applying simple ...the ... See full document
10
Content selection from an ontology based knowledge base for the generation of football summaries
... the content plan by the estimated or baseline model against the individu- als mentioned in the gold ...since content se- lection is less discriminative without a user profile (or rather with a neutral user ... See full document
10
BEYOND TEXT: A FRAMEWORK FOR MULTIMEDIA CONTENT GENERATION ON THE WEB
... a text oriented process is there it was the good concept from a long time but some of the times in the searching process it’s not providing the sufficient information to the users, to improve this we are ... See full document
6
Text Content and Task Performance in the Evaluation of a Natural Language Generation System
... tent selection strategy which selected events based on their clinical importance, computed using rules obtained from ...selecting content using much more sophisticated heuristics, in part based on the ... See full document
6
Automatic Voice Selection in Japanese based on Various Linguistic Information
... actual text has been mainly developed in the area of nat- ural language generation (Reiter and Dale, 2000), and has been applied to various NLP applications such as multi-document summarisation (Radev and ... See full document
5
Data-to-Text Generation with Content Selection and Planning
... the content planner which brings performance ...best content selection and content ordering scores in terms of ...relation generation; content selection precision also ... See full document
8
Select and Attend: Towards Controllable Content Selection in Text Generation
... Most content selection models train the selector with heuristic rules (Hsu et ...between selection and ...the selection to generate di- verse text is ...the selection targets at ... See full document
12
Building RDF Content for Data to Text Generation
... the generation of natural image descriptions from visual and text data and (Filippova and Strube, 2008) uses ILP to model sentence ...our content selection method is most similar to that ... See full document
10
Title: A Two Stage DNA Approach for Text Cryptography
... In this presented work a two stage, DNA cryptography approach is presented to text encryption. In this work, the DNA concept will be used for the key generation as well to encode the text. At ... See full document
7
Template free Data to Text Generation of Finnish Sports News
... one text span refers to one game ...vanced generation, which stands to produce more natural-sounding reports in terms of less repetition and more flexible ... See full document
11
Learning strategies in interpreting text: From comprehension to illustration
... expository text into an illustration was a constant ...a text (Louwerse and Graesser, 2006; Armbruster, Anderson and Ostertag, 1987; Van Dijk & Kintsch, ... See full document
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