[PDF] Top 20 Improvement of Email Summarization Using Statistical Based Method
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Improvement of Email Summarization Using Statistical Based Method
... the email threads, ...an email conversation is based on the content, not on the ...an email is related to others. Yeh et al. also found that simply using the header information is less ... See full document
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Combining linguistic and machine learning techniques for email summarization
... is based on firing rules on a new in- stance, triggered by the matching feature values to the left-hand side of the ...C4.5rules improvement strategy is a greedy search, thus potentially missing the best ... See full document
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An Efficient Technique for Network Traffic Summarization using Multiview Clustering and Statistical Sampling
... Network computer devices that originate, route and terminate the data are called network nodes. Nodes can include hosts such as personal comput- ers, phones, servers as well as networking hard- ware. Two such devices are ... See full document
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Email Summarization-Extracting Main Content from the Mail
... hidden email, whereas the edges in a fragment quotation graph reflect the referential relationship among multiple ...an email thread. Their method may be useful in building the conversation structure ... See full document
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Improvement of Statistical Machine Translation using Charater-Based Segmentationwith Monolingual and Bilingual Information
... Phrase-Based Statistical Ma- chine Translation (PB-SMT) to languages where word boundaries are not obviously marked by using both monolingual and bi- lingual information and demonstrate that (1) ... See full document
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Extractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach
... ing summarization and collaborative task learn- ing agents use dialogue acts as their underlying structure (Allen et ...learning method to improve the accuracy of this email act classifi- ... See full document
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Statistical Machine Translation Improvement based on Phrase Selection
... this method is that phrases are built in an iterative process starting from single words and joining others to them until the expected size of phrases is ... See full document
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A Hybrid Method for Query based Automatic Summarization System
... text summarization systems. In statistical approaches the sentence selection is done based on statistics of the text like word frequency, position of the sentence, location of the word etc… ...are ... See full document
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Using Statistical and Semantic Models for Multi-Document Summarization
... various statistical models for extractive text ...Though statistical models may better cap- ture word co-occurrences and distribution around the text, they fail to detect the context and the sense of ... See full document
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Graph Based Multi Tweet Summarization using Social Signals
... tweet summarization. Note that our method considers each tweet as the unit for summarization, which often cannot provide reliable information to compute the ...cluster based (Hardy et al., ... See full document
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Malayalam Text Summarization Using Graph Based Method
... scored using statistical, linguistic and heuristic ...font based feature ...some statistical information such as number of words, frequent keywords ...query based text ... See full document
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Email Summarization using Latent Dirichlet Allocation (LDA)
... technique based on sentiments of key words in the text for the purpose of ...different summarization approaches, viz. Random indexing based, LSA based, Graph based and Weighted graph ... See full document
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An automatic email mining approach using semantic non-parametric K-Means++ clustering
... spam email “ONE- POUND-A-DAY DIET” from the email by a friend for technical ...in email started to become a problem and is growing ...from email users who try to separate and delete many ... See full document
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Optimizing Sentence Scoring Method for Query Based Text Summarization
... Sentence scoring can be done using statistical techniques and/or linguistic technique. Sentence scoring is very important part as it decides the summary content .The result shows the summary based on ... See full document
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Statistical Analysis of Graphene Layer on Gold-based Surface Plasmon Resonance-Kretschmann Configuration using FDTD and Taguchi Method
... Taguchi method was ...designed using the Kretschmann configuration through the Lumerical Finite-Difference-Time-Domain (FDTD) ...Taguchi method reveals that wavelength parameter holds a significant ... See full document
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A Statistical Approach to Automatic Speech Summarization
... constructed using a manually parsed cor- ...estimated using the inside- outside algorithm. In our SDCFG based on Ito et ...this method is not given a specific function such as that of a noun ... See full document
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Image Denoising using Statistical and Non Statistical Method
... applications using images to provide an ease of selecting the optimal technique according to their ...used statistical and non-statistical method for denoising the ... See full document
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A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co occurrence
... A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co occurrence A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Ch[.] ... See full document
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Text Summarization Using Demographic Algorithm with Clustering Method
... Two kinds of approaches have been designed to leverage the above features, supervised and unsupervised. In most supervised approaches, summarization is seen as a two class classification problem and the sentences ... See full document
6
2003-TIL-Summ
... non-linear method for topic detection is ...sentences using the knowledge attained from ...this method, a topic strength summarizer for single docu- ments was implemented: it will be referred from ... See full document
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