[PDF] Top 20 Knowledge Structures for Natural Language Generation
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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[.] ... See full document
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Tree Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation
... share knowledge between domains, we performed ex- periments in three domain adaptation scenarios: (a) adapting to hotel from restaurant domain; (b) adapting to attraction from restaurant domain and (c) adapting to ... See full document
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Natural Language Generation through Character based RNNs with Finite state Prior Knowledge
... the generation of non-words or the hallucination of named entities), we exploit a priori knowledge in the form of a weighted finite- state automaton that constrains the generated strings of characters to ... See full document
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Zero Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
... By examining some of the generated ques- tions (Table 7) we see that models without copy actions can generalize to unseen pred- icates that only have a very similar free- base predicate in the training set. For ex- ample ... See full document
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Two Level, Many Paths Generation
... We describe a hybrid model for natural language generation which offers improved performance in the presence of knowledge gaps in the generator the grammar and the lexicon, and of errors[r] ... See full document
9
Natural Language Generation for Effective Knowledge Distillation
... transfer knowledge from BERT, a deep language repre- sentation model, to traditional, shallow word embedding-based neural networks, helping them approach or exceed the quality of other heavyweight ... See full document
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Natural Language Generation with Vocabulary Constraints
... are natural in the construction of language education exercises, where students have small known vocabularies and exercises that reinforce the knowledge of arbitrary words are re- ... See full document
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Scaling a Natural Language Generation System
... prior knowledge, we know that if we have a par- tial sentence of “the sky is”, we should try actions resulting in “the sky is blue” before those result- ing in “the sky is ...prior knowledge can be ... See full document
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Automatic generation of conversational utterances and narrative for Augmentative and Alternative Communication: a prototype system
... user‟s knowledge base is turned into useful con- versational utterances through a template-driven utter- ance generation system ...into natural language utter- ... See full document
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Using Classification to Generate Text
... Classification and inheritance are used in this manner by the IDAS natural language generation system [Reiter et al., 1992], and their use has allowed IDAS to use a single knowledge repr[r] ... See full document
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An Alignment Capable Microplanner for Natural Language Generation
... syntactic structures and lexical items used by a computer are subsequently adopted by ...for natural lan- guage human–computer interaction in general, and for dialogue systems with natural ... See full document
8
Abstract Meaning Representation for Sembanking
... representation language in which we are writing down the meanings of thousands of English sen- ...semantic structures will spur new work in statistical natural lan- guage understanding and ... See full document
9
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
... from Natural Language There have been several attempts at generating reg- ular expressions from textual ...a natural language interface to regular expres- sion writing (Ranta, ...of ... See full document
6
Augmenting a Database Knowledge Representation for Natural Language Generation
... The world knowledge axioms guide ENHANCE to ensure that the breakdowns formed are appropriate and that salient information is chosen for the sub-class descriptions.. At the same time, th[r] ... See full document
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User Controlled, Robust Natural Language Generation from an Evolving Knowledge Base
... sopoulos, 2007). Some of these systems attempt to minimize reliance on domain-specific linguistic resources and attempt to detect words in the labels of the ontology to use as lexical items (Mellish and Sun, 2005). On ... See full document
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A Logical Form and Knowledge Base Design for Natural Language Generation
... A LOGICAL FORM AND KNOWLEDGE BASE DESIGN FOR NATURAL LANGUAGE GENERATION A L O G I C A L F O R M A N D K N O W L E D G E B A S E D E S I G N 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 I O N 12[.] ... See full document
11
Intelligent Questions and Summary Generator Examally
... uses natural language processing (NLP) for the implementation of question generation, and knowledge base is used to generate answers for the generated questions and also to validate those ... See full document
6
Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
... more natural than in the E2E challenge case, 2) there is a large amount of vari- ation in the dataset, and 3) the dataset was split in such a way that the paired set contains perfect matches between the MR and the ... See full document
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Natural Language Input for Scene Generation
... the object in terms of prototype THOUGHTs.. divided in different levels of detail hier-.[r] ... See full document
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