sentence similarity
Survey on Sentence Similarity System
... every sentence and collect the essential data from ...a sentence well, leading to obscure results. The current times the Sentence Similarity measures are used more and needed in the Text-based ...
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Word Sense Disambiguation based Sentence Similarity
... final sentence similarity score is likely to be affected ...the similarity score based on the concept of comparing the nearest meanings instead of comparing the ac- tual ...
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Sentence Similarity based on Dependency Tree Kernels for Multi document Summarization
... presented sentence similarity computation methods for MDS based on the dependency parse trees of the ...based sentence similarity kernels, which have originally been proposed for relation ...
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A kind of intelligent question answering system based on sentence similarity calculation model
... new sentence similarity computing model, comprehensively sums up all kinds of methods that current intelligent answering-questions system query the sentence similarity, analyzes their ...
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Sentence Similarity Learning by Lexical Decomposition and Composition
... each sentence into a vector separately, and joined the two sentence vectors to compute the sentence ...the sentence- level granularity was used, the performance is much lower (the second row ...
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Sentence Similarity Techniques for Automatic Text Summarization
... of sentence score which include title feature, numerical data, cue phrase, sentence length, sentence centrality, sentence position, upper case word, term frequency, sentence ...
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Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity
... using sentence similarity based on ...for sentence splitting based on N-grams, and select the best one by measuring sentence ...a sentence as a translation ...
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A Sentence Similarity Estimation Method Based on Improved Siamese Network
... Recently, because of the huge success of neural networks in many NLP tasks, especially the recurrent neural networks (RNN), many researches focus on the using of deep neural networks for the task of sentence ...
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A computation study on semantics based weighted sentence similarity
... semantic similarity algorithm, integrating the relations of conceptual semantics, hierachical structure and the depth, and apply the algorithm in the computation of sentence ...weighted sentence ...
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Sentence-Similarity Based Document Clustering Using Birch Algorithm
... e. Sentence similarity calculations: The ability to accurately judge the similarity between natural language sentences is critical to the performance of several applications such as text mining, ...
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Enhanced Sentence-Level Text Clustering using Semantic Sentence Similarity from Different Aspects
... Abstract: Sentence clustering plays a significant role in many textprocessing ...integrate sentence clustering into extractive multidocument summarization useful to address issues of content overlap, ...
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Sinhala Short Sentence Similarity Calculation using Corpus Based and Knowledge Based Similarity Measures
... measuring similarity between short sentences written in Sin- hala, an official language of Sri Lanka, which is currently used by a population of over 16 ...short sentence similarity ...other ...
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Multi Perspective Sentence Similarity Modeling with Convolutional Neural Networks
... Modeling sentence similarity is compli- cated by the ambiguity and variability of linguistic ...each sentence using a convolutional neural network that extracts features at multiple levels of gran- ...
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Evaluation of Methods for Sentence Similarity for Use in Intelligent Tutoring System
... In this paper we extend our research from[1] where we presented and evaluated methods for finding similar- ity between textual data. These methods can be used inside modules of ITS to evaluate student performance [2]. ...
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A Sentence Similarity Computation for Restricted Domain
... is the most classical sentence similarity algorithm, it mainly uses the word frequency to calculate the similarity, which is a statistical method. In Natural Language Processing, the vector space ...
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Discriminative Improvements to Distributional Sentence Similarity
... Matrix and tensor factorization have been ap- plied to a number of semantic relatedness tasks, including paraphrase identification. The key idea is that similarity in the latent space implies semantic relatedness. ...
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Taking into account Inter sentence Similarity for Update Summarization
... Extracting one sentence per cluster to generate summaries as in (Zopf et al., 2016) leads to poor results for update MDS. We have rather added the information brought by our semantic clustering to an ILP model for ...
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Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations
... based similarity which uses METAMAP (Aronson, 2001) for extracting medical concepts from text and our simple unsupervised approach outperform them by a significant ...
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Comparison of Algorithmic and Human Assessments of Sentence Similarity
... a sentence as a vector of feature values, then obtain a similarity mea- surement through a trained classifier (Tara- ban and McClelland, ...about similarity rather than from a domain- specific ...
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A Comparative Study of Conversion Aided Methods for WordNet Sentence Textual Similarity
... Sentence textual similarity is a crucial and a prerequisite subtask for many text processing and NLP tasks including text summarization, document classification, text clustering, topic detection, automatic ...
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