Semantic similarityFollowing the Principle of Compositionality, the meaning of a complex expression is influenced, to some extent, not only by the meanings of its individual words, but also the structural way the words are assembled. Compositionality has been a central research issue for linguists ...
Moreover, they only can capture the textual similarity, but not semantic. In this paper, we propose a method for semantic textual similarity that leverages bilingual word-level semantics to compute the semantic similarity between sentences. To capture word-level semantics, we employ distribute ...
The above method allows us to find the most appropriate sense for each word in a sentence. To compute the similarity between two sentences, we base the semantic similarity between word senses. We capture semantic similarity between two word senses based on the path length similarity. In WordNet...
Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset. - likejazz/Siamese-LSTM
p class=Abstractspan lang=EN-USSentence and document similarity assessment is key to most NLP applications. This paper presents a novel measure of calculating the similarity between sentences or between documents using ontology. The similarity is assessed using sentence/spanspan lang=EN-US or document...
The semantic similarity between 2 words can easily be established using word embedding. Similarly large pieces of text are relatively easy to work with as the offer a lot of room for meaningful feature engineering. So for this essay, we are focusing on sentences. Pairs of sentences, assumedly...
Semantic similarity between sentences The present study investigated the effects of deep, lexical, and surface structure relationships between sentences on judgments of these sentences' semantic similarity. Ten sentence conditions, four paraphrases and six nonparaphrases, we... RP Honeck - 《Journal of...
Measuring the semantic similarity between various text components like words, sentences, or documents plays a significant role in a wide range of NLP tasks like informationretrieval, text summarization, text classification, essay evalution, machine translation, question answering, among others. ...
A system and associated methods determine the semantic similarity of different sentences to one another. A particularly appropriate application of the present invention is to automatic processing of Chinese-language text, for example, for document retrieval. A method for computing the similarity between ...
Well, In those models, the semantic Textual similarity is considered as a regression task. This means whenever we need to calculate the similarity score between two sentences, we need to pass them together into the model and the model outputs the numerical score between them. While this works ...