Learning latent representations from long text sequences is an important first step in many natural language processing applications. Recurrent Neural Networks (RNNs) have become a cornerstone for this challenging task. However, the quality of sentences during RNN-based decoding (reconstruction) decreases with the length of the text. We propose a sequence-to-sequence, purely convolutional and d...

Word2vec (Mikolov et al., 2013b) has proven to be successful in natural language processing by capturing the semantic relationships between different words. Built on top of single-word embeddings, paragraph vectors (Le and Mikolov, 2014) find fixed-length representations for pieces of text with arbitrary lengths, such as documents, paragraphs, and sentences. In this work, we propose a novel int...

This study investigated the comparative effect of teaching idiomatic expressions through practicing them in conversation and paragraph writing on intermediate EFL learners’ idiom learning. The participants were sorted out of a population of 134 intermediate students in Zabansara Language School in Khorramabad based on their scores on a Preliminary English Test (PET) and an idiom test piloted in...

OBJECTIVE Writing scientific manuscripts can be unnecessarily daunting, if not paralyzing. This paralysis is usually the result of one of two reasons: either researchers do not know how to start, or they do not know what to put where. However, most radiology manuscripts follow a definable blueprint. In this article, I attempt to lay out the paragraph-by-paragraph development of a typical radiol...

We present a method for partitioning expository texts into coherent multi-paragraph units which reeect the subtopic structure of the texts. Using Chafe's Flow Model of discourse, we observe that subtopics are often expressed by the interaction of multiple simultaneous themes. We describe two fully-implemented algorithms that use only term repetition information to determine the extents of the s...

Paragraph Vectors has been recently proposed as an unsupervised method for learning distributed representations for pieces of texts. In their work, the authors showed that the method can learn an embedding of movie review texts which can be leveraged for sentiment analysis. That proof of concept, while encouraging, was rather narrow. Here we consider tasks other than sentiment analysis, provide...

"BioMed Central will be the most significant development for disseminating the results of biomedical researc h in our lifetime." kindly pointed out that in the paragraph prior to the conclusion, it should read "Figure 3" instead of "Figure 2" and that in the last two sentences of that paragraph, it should read "gram-positive" instead of "gram-negative" [1]. article: verbatim copying and redistr...

the present study was conducted to investigate the effect of modified cloze procedure on writing proficiency of iranian intermediate efl learners. to fulfill the purpose of the study, 110 participants studying at semnan university majoring in english literature were tested on celt proficiency test. 65 participants who were found to be homogenous were selected and assigned randomly to two groups...

“please ensure that the abstract present in the manuscript matches exactly what is in the submission system” Response: Checked. Tables. “...include the tables within the text.... Move landscape orientated tables to the additional files and renumber tables accordingly...” Response: Modified as suggested. Three additional files are provided with an additional files section added in the manuscript...

Many of the processing steps in natural language engineering can be performed using nite state transducers An optimal way to create such transducers is to compile them from regular expressions This paper is an introduction to the regular expression calculus extended with certain operators that have proved very useful in natural language appli cations ranging from tokenization to light parsing T...