نتایج جستجو برای: long text
تعداد نتایج: 929739 فیلتر نتایج به سال:
writing sacred words of a text in the header or along the right margins of documents is of a long tradition in documentation of the iranian islamic period. the present article deals with the time of origin, developmental process, type of words and the name of this tradition. included among other issues covered in this study are the non-iranian origins and the iranian-islamic influence over the ...
Message classification is a text classification task that has provoked much interest in machine learning. One aspect of message classification that presents a particular challenge is the classification of short text messages. This paper presents an assessment of applying a casebased reasoning approach that was developed for long text messages (specifically spam filtering) to short text messages...
(mitochondrial trifunctional protein (mtp که در غشای درونی میتوکندی متصل است،سه مرحله نهایی چرخه بتا اکسیداسیون اسید های چرب را کاتالیز میکند.این کمپلکس یک هترو-اکتامر کمپلکس است که از 8 قسمت(زیرواحد) تشکیل شده است. 4زیرواحد ? شامل (lceh(long-chain2,3-enoyl-coahydratase و (lchad (long-chain 3- hydroxyacyl coa dehydrogenase می باشد و 4 زیرواحد ? که در برگیرنده فعالیت (lckt(long chain 3-ketoacyl...
Recurrent selection (RS) has been used in plant breeding to successively improve synthetic and other multiparental populations. Synthetics are generated from a limited number of parents [Formula: see text] but little is known about how [Formula: see text] affects genomic selection (GS) in RS, especially the persistency of prediction accuracy ([Formula: see text]) and genetic gain. Synthetics we...
A search is performed for heavy long-lived charged particles using 3.0 [Formula: see text] of proton-proton collisions collected at [Formula: see text][Formula: see text] 7 and 8 TeV with the LHCb detector. The search is mainly based on the response of the ring imaging Cherenkov detectors to distinguish the heavy, slow-moving particles from muons. No evidence is found for the production of suc...
Embedding method has become a popular way to handle unstructured data, such as word and text. Word embedding, providing computational-friendly representations for word similarity, is almost be one of the standard solutions for various text mining tasks. Lots of recent studies focusing on word embedding try to generate a more comprehensive representation for each word that incorporating task-spe...
Recently, many neural network models have been applied to Chinese word segmentation. However, such models focus more on collecting local information while long distance dependencies are not well learned. To integrate local features with long distance dependencies, we propose a dependency-based gated recursive neural network. Local features are first collected by bi-directional long short term m...
In this work, we propose a novel method to incorporate corpus-level discourse information into language modelling. We call this larger-context language model. We introduce a late fusion approach to a recurrent language model based on long short-term memory units (LSTM), which helps the LSTM unit keep intra-sentence dependencies and inter-sentence dependencies separate from each other. Through t...
Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets
This paper describes our approach to the Emotion Intensity shared task. A parallel architecture of Convolutional Neural Network (CNN) and Long short term memory networks (LSTM) alongwith two sets of features are extracted which aid the network in judging emotion intensity. Experiments on different models and various features sets are described and analysis on results has also been presented.
Although Average Precision (AP) has been the most widely-used retrieval effectiveness metric since the advent of Text Retrieval Conference (TREC), the general belief among researchers is that it lacks a user model. In light of this, Robertson recently pointed out that AP can be interpreted as a special case of Normalised Cumulative Precision (NCP), computed as an expectation of precision over a...
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