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Sentence Modeling

On Tree Based Neural Sentence Modeling

On Tree Based Neural Sentence Modeling

... tree-based sentence en- coders have shown better results on many downstream ...neural sentence modeling. Fur- ther analysis show that tree modeling gives better results when crucial words are ...

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Discriminative Neural Sentence Modeling by Tree Based Convolution

Discriminative Neural Sentence Modeling by Tree Based Convolution

... This paper proposes a tree-based con- volutional neural network (TBCNN) for discriminative sentence modeling. Our model leverages either constituency trees or dependency trees of sentences. The tree-based ...

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Sentence Modeling with Gated Recursive Neural Network

Sentence Modeling with Gated Recursive Neural Network

... Recently, neural network based sentence modeling methods have achieved great progress. Among these methods, the re- cursive neural networks (RecNNs) can ef- fectively model the combination of the words in ...

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Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification

Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification

... global sentence level while traditional word embeddings capture local contexts ...a sentence-level representation from sen- tence compositions in order to maintain the order of word and capture syntax, ...

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Sparsifying Word Representations for Deep Unordered Sentence Modeling

Sparsifying Word Representations for Deep Unordered Sentence Modeling

... For all analysis and results reported in this pa- per, we used the pre-trained 300 dimensional Glove (Pennington et al., 2014) word vectors. As described earlier, a sentence level representation is created by ...

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Multi Perspective Sentence Similarity Modeling with Convolutional Neural Networks

Multi Perspective Sentence Similarity Modeling with Convolutional Neural Networks

... our modeling decisions for all three datasets, demon- strating clear benefits from our use of multiple per- spectives both in sentence modeling and structured similarity ...

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Inter Weighted Alignment Network for Sentence Pair Modeling

Inter Weighted Alignment Network for Sentence Pair Modeling

... pair modeling is a crucial prob- lem in the field of natural language pro- ...a sentence pair focusing on the interaction informa- ...a sentence has a different importance from the perspective of ...

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A Sentence Interaction Network for Modeling Dependence between Sentences

A Sentence Interaction Network for Modeling Dependence between Sentences

... For sentence pair modeling, a simple idea is to first project the sentences to two sentence vectors separately with sentence modeling methods, and then feed these two vectors into other ...

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Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement

Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement

... whole sentence meanings into fixed-length vectors? In contrast, we focus on capturing fine-grained word-level information ...using sentence modeling, we propose pairwise word interaction ...

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English to Hungarian Morpheme based Statistical Machine Translation System with Reordering Rules

English to Hungarian Morpheme based Statistical Machine Translation System with Reordering Rules

... Another method of training a factored model is to translate factors independently. This could in- deed solve data sparseness problems, but, as we noted during our experiments, another problem arises in this case: at ...

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Topic Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information

Topic Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information

... of sentence vectors regardless of their input order via attention, our encoder is free from the constraint that all sen- tences must be compressed into a single fixed- length vector as a paragraph ...

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Sentence Decisionmaking: The Logic of Sentence Decisions and the Extent and Sources of Sentence Disparity

Sentence Decisionmaking: The Logic of Sentence Decisions and the Extent and Sources of Sentence Disparity

... The study used these seven factors because other empirical investigations of sentence decisions conducted at the state and local level have indicated their importance.' 0 An additional e[r] ...

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Deep Attentive Sentence Ordering Network

Deep Attentive Sentence Ordering Network

... the sentence order- ing task, Entity Grid (Barzilay and Lapata, 2008) achieves a good performance in this task and even outperforms Recurrent neural networks and Re- cursive neural networks (Li and Hovy, 2014) on ...

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Linguistic Overview of Dibra Phraseology

Linguistic Overview of Dibra Phraseology

... The slang of the people is an inexhaustible treasure of phraseological units, a treasure that enriches and expands with new units, as well as it developing with uses meanings never encountered before. Day by day popular ...

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Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech

Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech

... In this paper, we describe our effort to overcome these shortcomings by 1) replacing the generative model with one that estimates the posterior proba- bilities directly, and 2) using the maximum entropy (maxent) ...

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Latent Tree Language Model

Latent Tree Language Model

... An in-depth analysis of semantic and syntactic properties of LTLM is beyond the scope of this pa- per. For better insight into the behavior of LTLM, we show the most probable word substitutions for one selected ...

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Neural Relation Extraction within and across Sentence Boundaries

Neural Relation Extraction within and across Sentence Boundaries

... The two sentences together convey the fact that the entity e1 is associated with e2, which cannot be inferred from ei- ther sentence alone. The missed relations impact the system performance, leading to poor ...

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Scalable Cross Lingual Transfer of Neural Sentence Embeddings

Scalable Cross Lingual Transfer of Neural Sentence Embeddings

... which sentence translation retrieval accuracy was less that ...with sentence translation re- trieval accuracies indicates that neither evaluation framework is reliable on its ...that sentence ...

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Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora

Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora

... We introduce 1 a novel stochastic inversion transduction grammar formalism for bilingual language modeling of sentence-pairs, and 2 the concept of bilingual parsing with a variety of par[r] ...

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Visual support system for remote control by adaptive ROI selection of monitoring robot

Visual support system for remote control by adaptive ROI selection of monitoring robot

... By applying LDA topic modeling to the data based on a gestalt time series, the system creates a sentence using information regarding to the working robot and each object around it, fo[r] ...

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