word selection
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
... on word cluster- ing and word selection. A number of word similar- ity measures are used for ...the selection of impor- tant ...use word features is ...
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Automatic Seed Word Selection for Unsupervised Sentiment Classification of Chinese Text
... We describe and evaluate a new method of automatic seed word selection for un- supervised sentiment classification of product reviews in Chinese. The whole method is unsupervised and does not re- quire any ...
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Learning Pronunciation Dictionaries: Language Complexity and Word Selection Strategies
... Encouragingly, the active learning algorithm strad- dles the range in between average random (the baseline) and Oracle word selection (near-optimal- ity). Less favorable is the non-monotonicity of the ...
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Best Topic Word Selection for Topic Labelling
... less successful in terms of Best-1 accuracy, but we actually achieve higher Best-2, and largely mir- ror the Best-3 results as compared to the best of the in-domain results in Table 6. This leads to the much more ...
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Modeling Word Emotion in Historical Language: Quantity Beats Supposed Stability in Seed Word Selection
... for word emotions can be traced back at least to Osgood (1953) who used questionnaires to gather human ratings for words on a wide variety of dimensional axes including “good ...
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Word Selection in Teaching Arabic Vocabulary for Lower Secondary Level
... In the context of teaching Arabic language in Malaysia specifically to lower secondary students, there are two main sources available for a teacher in choosing the vocabulary to be taught; the Arabic language syllabus ...
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CYUT III System at Chinese Grammatical Error Diagnosis Task
... The goal of the shared task is to develop a system that can detect the four types of grammar errors in learner corpus. Comparing to the task definition of CGED in 2014 and 2015, the major difference in this year is the ...
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Human Like Decision Making: Document level Aspect Sentiment Classification via Hierarchical Reinforcement Learning
... the-art approach to DASC. 4) HARN (Li et al., 2018). This approach adopts hierarchical attention to incorporate overall rating and aspect informa- tion so as to learn aspect-specific representation. This is another ...
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Bi LSTM Neural Networks for Chinese Grammatical Error Diagnosis
... In order to address the problem, we regard it as a sequence multi-labeling problem and split it into multiple sequence labeling problems which only label 0 or 1. To avoid feature engineering, for each error type except ...
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Towards Universal Dependencies for Learner Chinese
... for word selection errors whose target hypothesis has a different ...a word as extra- neous, as missing, or misused in terms of POS — entails the most literal ...
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GENERATION OF UNDERSTANDABLE ANSWER TO A QUERY USING MULTIMEDIA WEB INFORMATION
... 2. Answer pattern selection: For a given question it predicts which type of media data should be added .Here we will categorize mainly into four types they are: text, text+image, text+video ,text+image+video. It ...
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Learning Word Sense With Feature Selection and Order Identification Capabilities
... Our word sense learning algorithm combined two novel ingredients: feature selection and order iden- ...Feature selection was formalized as a constrained optimization problem, the output of which was ...
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Automatic Selection of Context Configurations for Improved Class Specific Word Representations
... Several recent studies examined the effect of con- text types on word representation learning. Mela- mud et al. (2016) compared three context types on a set of intrinsic and extrinsic evaluation setups: BOW, ...
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Communication Effects Word Of Mouth (Wom) In Wali Santri's Decision On Pesantren Selection
... of word of mouth (WOM) to interest santri and wali santri have a very strong ...the word of mouth (WOM) the stronger the interest of wali santri to send their children to ...by word of mouth (WOM) of ...
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A System for Summarizing Scientific Topics Starting from Keywords
... The lower Unnormalized RU scores compared to Pyramid scores indicate that we are selecting sentences containing highly weighted factoids, but we do not select the most informative sentences that contain a large number of ...
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Data enhancement and selection strategies for the word level Quality Estimation
... This paper describes the DCU-SHEFF word-level Quality Estimation (QE) sys- tem submitted to the QE shared task at WMT15. Starting from a baseline set of features and a CRF algorithm to learn a sequence tagging ...
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AN OVERVIEW OF TECHNOLOGY EVOLUTION: INVESTIGATING THE FACTORS INFLUENCING NON BITCOINS USERS TO ADOPT BITCOINS AS ONLINE PAYMENT TRANSACTION METHOD
... produce word alignments, running the tool in both directions, source to target and target to ...two word alignments and enhance it with union ...better word alignment, because the smaller size phrase ...
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The Significance of Education and Gender in Persian Word-selection
... why word-selection is regarded as a linguistic-cognitive ...Cognitively, word-selection seems to be an example of ...take word- selection as an instance of problem-solving, we ...
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A Study of Reading Strategies and Reading Difficulties Experienced by Non- English Majored Students of Natural and Social Sciences at Thai Nguyen University
... and word groups, and that the reader first processes the smallest linguistic unit, gradually compiling the smaller units to decipher and comprehend the higher units, such as sentence ...
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Word Sense Disambiguation by Relative Selection
... a word sense disambiguation (WSD) has been known as a very important field of a natural language processing (NLP) and has been studied steadily since the advent of NLP in the ...
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