Natural language generation
Up cycling Data for Natural Language Generation
... existing Natural Language Generation (NLG) systems can generate fluent and adaptive texts for visitors, given appropriate input data, but there is typically a large amount of expert human effort ...
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The Order of Prenominal Adjectives in Natural Language Generation
... The question of robustness is a perennial prob- lem for parsing systems. In order to be useful, a parser must be able to accept a wide range of input types, and must be able to gracefully deal with dysfluencies, false ...
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An Alignment Capable Microplanner for Natural Language Generation
... Purver et al. (2006) take a more formal approach. They use an implementation of the Dynamic Syn- tax formalism, which uses the same representations and mechanisms for parsing as well as for genera- tion of natural ...
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SemScribe: Natural Language Generation for Medical Reports
... Natural language generation in the medical domain is heavily influenced by domain knowledge and genre-specific text ...implemented natural language generation system that ...
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Introduction to the Special Issue on Natural Language Generation
... Natural language generation is the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understa[r] ...
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Issues in the choice of a source for Natural Language Generation
... suppression of redundancy in the generation of inference-rich reports." In Aspects of Automated Natural Language Generation, Springer Verlag Lecture Notes in AI, Number 587, edited by Da[r] ...
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Unsupervised Natural Language Generation with Denoising Autoencoders
... Generating text from structured data is impor- tant for various tasks such as question answer- ing and dialog systems. We show that in at least one domain, without any supervision and only based on unlabeled text, we are ...
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Proceedings of the 14th European Workshop on Natural Language Generation
... For this year’s edition, we invited submissions on all topics related to natural language generation. We received a total of 36 submissions from all over the world, and accepted 13 as long papers for ...
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Adapting MUMBLE: Experience with Natural Language Generation
... Adapting MUMBLE Experience with Natural Language Generation A d a p t i n g M U M B L E E x p e r i e n c e w i t h N a t u r a l L a n g u a g e G e n e r a t i o n R o b e r t R u b i n o f f C o m[.] ...
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Empirically based Control of Natural Language Generation
... This paper 1 is concerned with the problem of con- trolling the output of natural language generation (NLG) systems. In many application scenarios the generator’s task is underspecified, resulting in ...
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Multi-Agent Discussion Mechanism for Natural Language Generation
... Natural Language Generation (NLG) (Kukich 1983; Reiter and Dale 1997) is a challenging task of generating texts on the condition of specified information such as knowl- edge, images or ...the ...
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SimpleNLG NL : Natural Language Generation for Dutch
... in Natural Language Generation. Natural Language Generation is the pro- cess of transforming non-linguistic information into understandable ...
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Proceedings of the 12th International Conference on Natural Language Generation
... International Natural Language Generation Conference (INLG 2019), the first to be organised in ...of Natural Language Generation (NLG), including data-to- text, concept-to-text, ...
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Semantic Noise Matters for Neural Natural Language Generation
... Neural natural language generation (NNLG) systems are known for their pathological out- puts, i.e. generating text which is unrelated to the input specification. In this paper, we show the impact of ...
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Proceedings of the 10th International Conference on Natural Language Generation
... International Natural Language Generation Conference (INLG 2017)! INLG is the annual meeting of the ACL Special Interest Group on Natural Language Generation ...of Natural ...
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Stylistic Variation in Television Dialogue for Natural Language Generation
... Conversation is an essential component of social behavior, one of the primary means by which hu- mans express emotions, moods, attitudes, and per- sonality. Conversation is also critical to story- telling, where key ...
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Proceedings of the 9th International Natural Language Generation conference
... International Natural Language Generation Conference (INLG 2016)! INLG is the biennial meeting of the ACL Special Interest Group on Natural Language Generation ...of ...
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A Framework for Lexical Selection in Natural Language Generation
... A Framework for Lexical Selection in Natural Language Generation A ~,"e'aa~)lework ~bv L e x k a t Setecth~n h~ Natm?a~ ge~;vei Nire~tburg Ca, r ~ e g i e , M e l # m U n i v e ~ ' i ~ y /~'" ~;" N i[.] ...
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Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
... Natural Language Generation (NLG) is an NLP task that consists in generating a sequence of nat- ural language sentences from non-linguistic ...
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Knowledge Structures for Natural Language Generation
... Knowledge Structures for Natural Language Generation K n o w l e d g e S t r u c t u r e s f o r N a t u r a l L a n g u a g e G e n e r a t l o n ~ P a u l S J a c o b s Knowledge Based Systems Branc[.] ...
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