Semantic similarity is a confidence score that replicates semantic equivalence between the meanings of two sentences. Determining the similarity among sentences is one of the critical tasks which have a wide-ranging impact in recent NLP applications. This paper presents a method for identifying semantic sentence similarity among sentences using semantic relation of word senses across the differ...

PURPOSE Although concordance by race and sex in physician-patient relationships has been associated with patient ratings of better care, mechanisms through which concordance leads to better outcomes remains unknown. This investigation examined (1) whether patients' perceptions of similarity to their physicians predicted their ratings of quality of care and (2) whether perceived similarity was i...

In this paper, NUTKS (Nagaoka University of Technology, Knowledge Systems Laboratory) reports the results of our participation at the NTCIR-12 MobileClick task, iUnit Ranking subtask. The authors have ranked iUnit by using similarity of iUnit word distribution based on LDA topics. Our system has recorded Q-measure score as 0.7392 and nDCG@20 score as 0.6334. In baseline system, the recorded Qme...

In this proof-of-concept study we use standard cosine similarity measure to calculate the semantic similarity between two pieces of text – the citing document and the cited text. Three subject matter experts then evaluate the citing and the cited text based on the cosine score to give their judgement on the semantic similarity between the two pieces of text.

Different similarity measures are available for comparison of textual data. These similarity measures are used for plagiarism detection. This research paper proposes a new similarity measure. Moreover, this paper proposes to consider length of content for plagiarism score determination. General Terms Data mining, plagiarism detection.

MOTIVATION Meaningful scores to assess protein structure similarity are essential to decipher protein structure and sequence evolution. The mining of the increasing number of protein structures requires fast and accurate similarity measures with statistical significance. Whereas numerous approaches have been proposed for protein domains as a whole, the focus is progressively moving to a more lo...