نتایج جستجو برای: paragraph development

تعداد نتایج: 1420011  

2017
Karol Grzegorczyk Marcin Kurdziel

Recently Le & Mikolov described two log-linear models, called Paragraph Vector, that can be used to learn state-ofthe-art distributed representations of documents. Inspired by this work, we present Binary Paragraph Vector models: simple neural networks that learn short binary codes for fast information retrieval. We show that binary paragraph vectors outperform autoencoder-based binary codes, d...

2018
Ruqing Zhang Jiafeng Guo Yanyan Lan Jun Xu Xueqi Cheng

Representing texts as fixed-length vectors is central to many language processing tasks. Most traditional methods build text representations based on the simple Bag-of-Words (BoW) representation, which loses the rich semantic relations between words. Recent advances in natural language processing have shown that semantically meaningful representations of words can be efficiently acquired by dis...

Journal: :iranian journal of applied language studies 2012
mona khabiri zahra masoumpanah

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...

Journal: :The Journal of the Acoustical Society of America 1974

Journal: :Journal of NELTA 2018

2015
Wengong Jin Tianxing He Yanmin Qian Kai Yu

Topic model is an important approach for language model (LM) adaptation and has attracted research interest for a long time. Latent Dirichlet Allocation (LDA), which assumes generative Dirichlet distribution with bag-of-word features for hidden topics, has been widely used as the state-of-the-art topic model. Inspired by recent development of a new paradigm of distributed paragraph representati...

2017
William Du Stephen Ou Divya Saini

In this paper, we will explore machine comprehension in Stanford Question and Answering Dataset using ensembled deep recurrent neural networks with bi-directional attention flow. Given a context paragraph, we attempt to answer a query related to the context paragraph. This requires use to not only generate knowledge representation for each question and paragraph, but also create mechanisms that...

Journal: :متن پژوهی ادبی 0
حسین فرهادی هیئت علمی دانشگاه علامه طباطبایی فتانه سجادی انشجوی دانشگاه علامه طباطبایی

research on reading comprehension supports the contribution of the topic sentence to better understanding of the paragraph by efl readers. however, the level of language proficiency, which has recently been recognized as an interacting factor with many language processing tasks, has not been taken into account in previous research. therefore, the prupose of this study is to investigate the rela...

Designing appropriate materials and activities to enhance vocabulary learning is one of the primary goals of language courses. Among the claims about efficient pedagogical tasks is the Involvement Load Hypothesis (Laufer & Hulstijn, 2001) according to which vocabulary development is contingent on the amount of cognitive process a task involves. Building on the previous research on this hypothes...

Hossein Vosoughi Parisa Farazmand

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...

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