Narratives are fundamental to our understanding of the world, providing us with a natural
structure for knowledge representation over time. Computational narrative extraction is a …

This article presents a comprehensive review of stacking methods commonly used to
address the challenge of automatic semantic similarity measurement in the literature. Since …

The Volume of text resources have been increasing in digital libraries and internet.
Organizing these text documents has become a practical need. For organizing great number …

Determining semantic similarity between texts is important in many tasks in information
retrieval such as search, query suggestion, automatic summarization and image finding …

We present a siamese adaptation of the Long Short-Term Memory (LSTM) network for
labeled data comprised of pairs of variable-length sequences. Our model is applied to …

This paper examines the calculation of the similarity between words in English using word
representation techniques. Word2Vec is a model used in this paper to represent words into …

Despite the ubiquity of textual data, so far few researchers have applied text mining to
answer organizational research questions. Text mining, which essentially entails a …

With the continuous evolve of E-commerce systems, online reviews are mainly considered
as a crucial factor for building and maintaining a good reputation. Moreover, they have an …

Measuring the similarity between words, sentences, paragraphs and documents is an
important component in various tasks such as information retrieval, document clustering …

The application of information retrieval techniques to search tasks in software engineering is
made difficult by the lexical gap between search queries, usually expressed in natural …