[PDF] Top 20 Contextual Grammars as Generative Models of Natural Language
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Contextual Grammars as Generative Models of Natural Language
... Speaking strictly from a formal language theory point of view, the behavior of these grammars is not spectacular: the family of generated languages is incomparable with the family of con[r] ... See full document
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Estimating Reactions and Recommending Products with Generative Models of Reviews
... in generative text modeling have demonstrated the effectiveness of recurrent neural networks in capturing content, structure, and style in natural ...ing generative models of product reviews, ... See full document
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Language as a Latent Variable: Discrete Generative Models for Sentence Compression
... deep generative mod- ...in natural language processing, there are variants of VAEs on modelling documents (Miao et ...employs generative models for supervised learning ...a ... See full document
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Contextual Bidirectional Long Short Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis
... LMs. For example, in (Frinken et al., 2012), dis- tinct forward and backward LMs are estimated for handwriting recognition. However, no trial is made to go beyond 4-gram models. In (Xiong et al., 2016), standard ... See full document
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Refining Generative Language Models using Discriminative Learning
... training language models contain only real sentences, ...discriminative language modeling this was not a major issue as the work was concerned with specific applications, and these provided a ... See full document
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A Generative Model for Parsing Natural Language to Meaning Representations
... instead, models the cor- respondence between sentences and their meanings with a generative ...ral language words and meaning representation to- ...the generative model builds trees by ... See full document
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On the Correspondence between Compositional Matrix Space Models of Language and Weighted Automata
... matrix-space models of language were recently proposed for the task of meaning representation of complex text structures in natural language process- ...These models have been shown to ... See full document
5
Executable Attribute Grammars for Modular and Efficient Natural Language Processing
... functional language Haskell [2] where application developers can specify syntactic and semantic descriptions of natural languages using a general notation of AGs as directly executable ...restricted ... See full document
173
Book Reviews: Statistical Language Learning
... "Towards history-based grammars: Using richer models for probabilistic parsing." In Speech and Natural Language: Proceedings of a Workshop Held at Harriman, New York.. San Francisco, Cal[r] ... See full document
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A Note on Contextual Binary Feature Grammars
... ral language processing and machine learning is the ability to learn suitable structures of a language from a finite ...the language it- self, rather than syntactic properties of the ... See full document
8
Klein and Manning generative induction pdf
... a generative distributional model for the unsupervised induction of natural language syntax which explicitly models constituent yields and con- ...previous models, and discuss upper ... See full document
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Defining Natural Language Grammars in GPSG
... These 'formal consequences' include both the generative power consequences demanded by the first goal and membership determination: GPSG regards languages "as collections whose membershi[r] ... See full document
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Unsupervised Recurrent Neural Network Grammars
... network grammars (RNNG) are generative models of language which jointly model syntax and surface structure by incrementally generating a syntax tree and sentence in a top-down, left-to-right ... See full document
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Joshua 4 0: Packing, PRO, and Paraphrases
... Recently English-to-English text generation tasks have seen renewed interest in the NLP commu- nity. Paraphrases are a key component in large- scale state-of-the-art text-to-text generation systems. We present an ... See full document
9
Simple Unsupervised Summarization by Contextual Matching
... sentences in the training set and test on the first 1000 pairs of evaluation set consistent with pre- vious works. For generation, we set λ = 0.11 in (1) and beam size to 10. Each source sentence is tokenized and ... See full document
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Feasible Learnability of Formal Grammars and The Theory of Natural Language Acquisition
... Feasible Learnability of Formal Grammars and The Theory of Natural Language Acquisition FeaMble L e a r n a b i l i t y o f F o r m a l G r a m m a r s a n d [~?he T h e o r y o f N a t m ' a l L a n[.] ... See full document
6
Toward a deep dialectological representation of Indo Aryan
... old language contact (namely lexical bor- rowing) between prehistoric Indo-Aryan dialects, as opposed to different conditioning environments which trigger a change ...regarding language con- tact ... See full document
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Functor Driven Natural Language Generation with Categorial Unification Grammars
... Functor Driven Natural Language Generation with Categorial Unification Grammars F u n e t o r D r i v e n 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 w i t h C a t e g o r i a l U n i f i c a t[.] ... See full document
6
A Hybrid Recurrent Neural Network For Music Transcription
... acoustic models for transcription demonstrates that RNNs are very good at predicting note-onsets ...the language model and the acoustic model are trained separately, combining their pre- dictions leads to ... See full document
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A Hybrid Recurrent Neural Network For Music Transcription
... and language models were trained by gradient descent, according to Equations 8 and ...acoustic models consisted of sigmoid ...RNN models, weights were randomly initialised by sampling values ... See full document
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