[PDF] Top 20 Natural Language Generation for Effective Knowledge Distillation
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Natural Language Generation for Effective Knowledge Distillation
... to knowledge distillation is constructing a transfer dataset of unlabeled ...an effective trans- fer ...pretrained language models fine-tuned on task-specific ... 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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Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
... To further explore the power of neural networks, we created a much larger public dataset, NL-RX. Since creation of regular expressions requires spe- cialized knowledge, standard crowd-sourcing meth- ods are not ... See full document
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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
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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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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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
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User Controlled, Robust Natural Language Generation from an Evolving Knowledge Base
... a natural lan- guage generation system which produces complex sentences from a biology knowl- edge ...the knowledge base and generates certain parts of answers in response to users’ questions in an ... See full document
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Natural Language Generation through Character based RNNs with Finite state Prior Knowledge
... Our encoder-decoder RNN is based on LSTMs (Hochreiter and Schmidhuber, 1997), which have been shown to be effective in particular in Machine Translation (Sutskever et al., 2014). Our approach is close to that of ... 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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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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Generation Distillation for Efficient Natural Language Understanding in Low Data Settings
... large language model (LM), (2) replace the top layer of the LM with a task-specific layer, and (3) finetune the entire model on a (usually relatively small) labeled ... See full document
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Self-Knowledge Distillation in Natural Language Processing
... in natural language processing (NLP), many deep learning models have been showing remarkable performances in a variety of NLP tasks, and in some cases, they are even outperforming ...efficient ... See full document
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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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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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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
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Towards Automatic Generation of Natural Language Generation Systems
... Systems that interact with the user via natural language are in their infancy. As these systems mature and become more complex, it would be desirable for a system developer if there were automatic methods ... See full document
7
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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Natural Language Generation from Pictographs
... messages into Dutch text, using WordNet synsets and a trigram language model. After a discus- sion of related work (section 2), we describe some characteristics of pictograph languages (section 3), followed by an ... See full document
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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] ... See full document
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