MOTIVATION The growing availability of full-text scientific articles raises the important issue of how to most efficiently digest full-text content. Although article titles and abstracts provide accurate and concise information on an article's contents, their brevity inevitably entails the loss of detail. Full-text articles provide those details, but require more time to read. The primary goal ...

Finding answers to why-questions involves finding arguments in texts, rather than the noun phrases that are typical targets for factoid questions. Detecting arguments requires detecting specific rhetorical structures and relations. Therefore, we proposed the use of Rhetorical Structure Theory (RST) as a tool for discovering answer to why-questions in paragraphs that are likely to contain the an...

paragraph["In Xanada did Kubla Khan ..."] paragraph["And there did he ..."] ] section[title["Critical Overview ..." ] ] ...

Image paragraph captioning aims to automatically generate a from given image. It is an extension of image in terms generating multiple sentences instead single one, and it more challenging because paragraphs are longer, informative, linguistically complicated. Because consists several sentences, effective method should consistent rather than contradictory ones. still open question how achieve t...

Machine comprehension of text is a significant problem in natural language processing today – in this project, we tackle machine reading comprehension as applied to question answering. Our goal is: given a question and a context paragraph, to extract from the paragraph the answer to the question. As an oracle, on the dataset we used, humans score over 86.8% accuracy (EM) on the test set for thi...

This paper presents a cognitive computational model of the way people read a paragraph with the task of quickly deciding whether it is better related to a given goal than another paragraph processed previously. In particular, the model attempts to predict the time at which participants would decide to stop reading the current paragraph because they have enough information to make their decision...

This paper presents some experiments for specialising Paragraph Vectors, a new technique for creating text fragment (phrase, sentence, paragraph, text, ...) embedding vectors, for text polarity detection. The first extension regards the injection of polarity information extracted from a polarity lexicon into embeddings and the second extension aimed at inserting word order information into Para...