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...

Ideas within student’s scientific works must meet conditions, one of which is written in a good and correct paragraph. Ironically, international students at UIN Maulana Malik Ibrahim Malang still make some mistakes upon writing papers even though they have been equipped with Indonesian language competence since the first semester. The current study aims to identify problems on students’ paragra...

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...