content selection
Category Driven Content Selection
... for content selection from DBPedia data which supports the selection of semantically varied content units of different ...the selection of 2- and 3-grams that are directly related to ...
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A Discourse Aware Graph Based Content Selection Framework
... domain-independent content selection framework, which contains domain-dependent features that must be instantiated when applying it to a particu- lar ...appropriate content by using an incre- mental ...
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Collective Content Selection for Concept to Text Generation
... Erroneous content selection decisions could be remedied by other components later in the generation ...tent selection rules could be further refined or post- processed by a domain ...feature ...
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Evaluating Content Selection in Summarization: The Pyramid Method
... of content over a pool of human summaries, rather than to human judgments of ...of content units to which differential weights are assigned based on their fre- quency in a corpus of ...ful content ...
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Content Selection in Deep Learning Models of Summarization
... We carry out experiments with deep learning models of summarization across the domains of news, personal stories, meetings, and medi- cal articles in order to understand how content selection is performed. ...
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Data-to-Text Generation with Content Selection and Planning
... better content selection (CS) and/or content planning ...that content selection and planning individually contribute to performance improvements over the baseline (ED+CC), and accuracy ...
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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 classification prob- ...
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Mixture Content Selection for Diverse Sequence Generation
... Deep Mixture of Experts Several methods adopt a deep mixture of experts (MoE) (Jacobs et al., 1991; Eigen et al., 2014) to diversify de- coding steps. Yang et al. (2018) introduce soft mixture of softmax on top of the ...
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Reactive Content Selection in the Generation of Real time Soccer Commentary
... We describe how a principle of maximizing the total gain of importance scores during a game can be used to incorporate content selection into the surface generation module, thus accounti[r] ...
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Reactive Content Selection in the Generation of Real time Soccer Commentary
... Reactive Content Selection in the Generation of Real time Soccer Commentary R e a c t i v e C o n t e n t S e l e c t i o n i n t h e G e n e r a t i o n o f R e a l t i m e S o c c e r C o m m e n t[.] ...
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Select and Attend: Towards Controllable Content Selection in Text Generation
... the content selection as la- tent variables and train with amortized variational inference (Kingma and Welling, 2014; Mnih and Gregor, ...regarding content-level diversity and controllability while ...
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Automatically Evaluating Content Selection in Summarization without Human Models
... We present a fully automatic method for content selection evaluation in summariza- tion that does not require the creation of human model summaries. Our work capi- talizes on the assumption that the ...
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Statistical Acquisition of Content Selection Rules for Natural Language Generation
... things can be noted in the table. The first is that imdb.com represents a harder set than our de- velopment set. That is to expect, as biogra- phy.com’s biographies have a stable editorial line, while imdb.com ...
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Multi criteria based negotiation for learning content selection : submitted in partial fulfilment of the requirements for the degree of Master of Information Sciences, Massey University, New Zealand
... However, it is a challenging problem to provide appropriate learning content selection facilities for the learners to efficiently identify learning content that best suit their needs, du[r] ...
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Discourse indicators for content selection in summarization
... for content selection as sim- pler text structure built using lexical ...for content selection in summarization, current sys- tems can make use of simple lexical structures to obtain similar ...
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Content Selection in Multi-Document Summarization
... DPP: Determinantal point processes (DPPs) (Kulesza and Taskar, 2012) are prob- abilistic models of sets which balance the selection of important information and diverse groups of sentences within a given length. ...
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Learning to Score System Summaries for Better Content Selection Evaluation
... Currently, ROUGE (Lin, 2004) is the accepted standard for automatic evaluation of content selec- tion because of its simplicity and its good correla- tion with human judgments. However, previous works on ...
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Content selection as semantic based ontology exploration
... As explained in Kruszewski and Baroni, 2015, distributional semantic representations provide models for semantic relatedness and have shown good performance in many lexical semantic task[r] ...
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Online Full Text
... learning content organizing, user interface, course delivery ordering, ...adaptive content nomination and associative semantic processing are involved to empower such learning ...system. Content ...
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Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web (WebNLG 2016)
... Maria Keet Content Selection as Semantic-Based Ontology Exploration Laura Perez-Beltrachini, Claire Gardent, Anselme Revuz and Saptarashmi Bandyopadhyay Content Selection through Paraphr[r] ...
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