Sentence Similarity Calculating Method Based on Word2Vec and Clustering

A Sentence Semantic Similarity Calculating Method Based on Segmented Semantic Comparison

In order to calculate sentence semantic similarity more accurately, a sentence semantic similarity calculating method based on segmented semantic comparison was proposed. Sentences would be divided into the trunk and the other segments by some grammar rules, and each segment might be divided into several shorter segments. When calculating the sentence semantic similarity between two sentences, ...

Sentence Similarity based on Relevance

The issue about sentence similarity is essential to many areas of artificial intelligence. Although there are related studies on determining text similarity, fewer publications are about the similarity between short texts especially about the similarity between sentence pairs. In this paper, a novel method is proposed to estimate the sentence similarity with consideration of direct relevance an...

Similarity Word-Sequence Kernels for Sentence Clustering

A Clustering Method for Molecular Sequences based on Pairwise Similarity

This paper presents a method for clustering a large and mixed set of uncharacterized sequences provided by genome projects. As the measure of the clustering, we use a fast approximation of sequence similarity (FASTA score). However, in the case to detect similarity between two sequences that are much diverged in evolutionary process, FASTA sometimes underestimates the similarity compared to the...

Automatic Sentence Ordering Assessment Based on Similarity

One of the tasks of text generation is sentence ordering since it is crucial for readability. Nevertheless, there is no common approach for evaluation of sentence ordering. The state-ofthe art methods are based on the comparison with a humanprovided order. However, in many cases it is impossible or time and resource consuming. Therefore, we propose three completely automatic approaches for sent...