Text Segmentation
Linear Text Segmentation Using Affinity Propagation
... The datasets exhibit different characteristics. The lecture dataset and the fiction dataset are challeng- ing because they are less cohesive than medical text- books. The textbooks are cognitively more difficult ...
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Unsupervised Text Segmentation Based on Native Language Characteristics
... Topic Segmentation The most widely- researched text segmentation task has as its goal to divide a text into topically coherent ...that text is not formed by a random set of words and ...
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A Critique and Improvement of an Evaluation Metric for Text Segmentation
... document segmentation to im- prove automated summarization (Salton et ...1996). Text segmentation issues are also important for passage retrieval, a subproblem of information retrieval (Hearst and ...
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Text Segmentation with Multiple Surface Linguistic Cues
... Text Segmentation with Multiple Surface Linguistic Cues Text Segmentation with Multiple Surface Linguistic Cues M O C H I Z U K I H a j i m e a n d H O N D A T a k e o a n d O K U M U R A M a n a b u[.] ...
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Machine Learning Approaches to Text Segmentation
... as text categorization and medical diagnosis ...the text segmentation ...work, text segmentation is treated as a two-class classication task; thus, a probabilistic classier is ...
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Handwritten text segmentation using blurred image
... the segmentation of handwritten text pages into lines, which has been submitted to ICDAR’2013 handwritten segmentation ...handwritten text segmentation: curvature, irregular slope and ...
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Flexible Text Segmentation with Structured Multilabel Classification
... We presented a method for text segmentation that equates the problem to structured multilabel classi- fication where each label corresponds to a segment. We showed that learning and inference can be man- ...
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A Statistical Model for Domain Independent Text Segmentation
... given text to segment the ...any text in any domain, even if training data do not ...when text segmentation is applied to information retrieval or summarization, because both tasks deal with ...
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Text segmentation for Language Identification in Greek Forums
... a segmentation algorithm using the following three indices: Precision, Recall and Beeferman’s Pk metric (Beeferman et ...the text segmentation ...measures segmentation inaccu- racy; ...
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Information Bottleneck Inspired Method For Chat Text Segmentation
... To validate the differences between the col- lected chat datasets and traditional datasets such as Choi’s dataset (Choi, 2000), we computed the fraction of words occurring with a frequency less than a given word ...
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TopicTiling: A Text Segmentation Algorithm based on LDA
... a Text Segmentation al- gorithm called ...art segmentation algorithms on two standard ...the segmentation in lin- ear time and thus is computationally less ex- pensive than other LDA-based ...
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Linear Text Segmentation using a Dynamic Programming Algorithm
... We have presented a dynamic programming algo- rithm which performs text segmentation by global minimization of a segmentation cost consisting of two terms: within-segment word similarity[r] ...
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Text Segmentation as a Supervised Learning Task
... Bayesian text segmentation methods (Chen et al., 2009; Riedl and Biemann, 2012) employ a gener- ative probabilistic model for text. In these mod- els, a document is represented as a set of topics, ...
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Protein Word Detection using Text Segmentation Techniques
... language text to protein se- quences at the level of ...unsupervised text segmentation algorithm to the task of extracting ”biological words” from pro- tein ...the text segmentation ...
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A Multi Agent Approach to Arabic Handwritten Text Segmentation
... written text segmentation and recognition regardless of the language used ...on segmentation, which is the operation that seeks to decompose a word image into a sequence of sub-images containing ...
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Text Segmentation Using Reiteration and Collocation
... Text Segmentation Using Reiteration and Collocation Text Segmentation Using Reiteration and Collocation A m a n d a C Jobbins Department o f Computing Nottingham Trent University Nottingham NG1 4BU, U[.] ...
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Text Segmentation by Language Using Minimum Description Length
... using text segmentation methods used for non-segmented ...This segmentation approach is similar to that of word segmentation for non- segmented texts, and he tested it on six different ...
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Two Approaches for Text Segmentation in Web Images
... the segmentation process is to partition the image in question into disjoint regions, in such a way that the text is separated from the ...the segmentation methods was performed by visual inspection ...
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Handwritten Hindi Text Segmentation Techniques for Lines and Characters
... II. CHARACTERISTICS OF HINDI LANGUAGE Devnagari is most popular script to write Hindi as well as Sanskrit, Marathi, Sindhi, and Nepali language with minor modifications. The alphabets of Devanagari script consists of 33 ...
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Improving Text Segmentation by Combining Endogenous and Exogenous Methods
... Some works were done following this trend never- theless. One way that was commonly adopted for im- proving the evaluation of this similarity without being dependent of a particular domain was to exploit a se- mantic ...
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