text entry using rapid serial visual presentation
Tài liệu Báo cáo khoa học: "An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling" ppt
... Association for Computational LinguisticsAn ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language ModelingK.E. Hild◦,U. Orhan†,D. Erdogmus†,B. ... integratesa stochastic language model with ERP classifi-cation to achieve speedups, via the rapid serial visual presentation (RSVP) paradigm.1 IntroductionThere exist a considerable number of people ... rather than visual scanning, for use by the visually impairedor when visual access is inconvenient, such as inface-to-face communication. Auditory scanning isless straightforward when using a...
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Automatic text extraction using DWT and Neural Network
... video database. However, text extraction presents a number of problems because the properties of text may vary, as well as the text sizes and the text fonts. Furthermore, texts may appear in a ... horizontal edges to obtain candidate text regions. Real Text regions are then identified using the support vector machine. Text regions usually have special texture features because they consist ... or compressed images. Text extraction from uncompressed image can be classified as either component-based or texture-based. For component-based text extraction methods, text regions are detected...
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Tài liệu Báo cáo khoa học: "Identifying Text Polarity Using Random Walks" pptx
... (2005; 2006) use a textual representation ofwords by collating all the glosses of the word asfound in some dictionary. Then, a binary text clas-sifier is trained using the textual representation ... Subjectivity analysis is the taskof identifying text that present opinions as op-posed to objective text that present factual in-formation (Wiebe, 2000). Text could be eitherwords, phrases, sentences, ... identified without consider-ing their context (Wiebe, 2000; Hatzivassiloglouand Wiebe, 2000; Banea et al., 2008). In the sec-ond category, the context of subjective text is used(Riloff and Wiebe, 2003;...
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Tài liệu Báo cáo khoa học: "Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques" doc
... In this section, we define comparative keywords and extract comparative-sentence candidates by using those keywords. 3.1 Comparative keyword First of all, we classify comparative sentences ... 153–156,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLPExtracting Comparative Sentences from Korean Text Documents Us-ing Comparative Lexical Patterns and Machine Learning Techniques Seon Yang ... Abstract This paper proposes how to automatically identify Korean comparative sentences from text documents. This paper first investigates many comparative sentences referring to pre-vious...
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Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
... words tend to appear in similar contexts, we can compute the similarity by using contextual information. Words and contexts play complementary roles. Contexts are similar to the extent that ... Bayes classifier using machine-labeled data as purpose and remaining contexts are assigned to each context-cluster by that revised technique. 1) Measurement of word and context similarities ... the Naive Bayes Classifier Using Context-Clusters In above section, we obtained labeled training data: context-clusters. Since training data are labeled as the context unit, we employ a Naive...
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Báo cáo khoa học: "Evaluating Centering-based metrics of coherence for text structuring using a reliably annotated corpus" doc
... Evaluating the coherence of a text and text structuringThe statistics about transitions computed asjust discussed can be used to determine the de-gree to which a text conforms with, or violates,Centering’s ... discussed in Section3, using the original ordering of texts in thegnome corpus to c ompute the average classi-fication rate of each metric.The gnome corpus contains texts from differ-ent genres, ... Beyondelaboration: The interaction of relationsand focus in coherent text. In T. Sanders,J. Schilperoord, and W. Spooren, edi-tors, Text Representation: Linguistic andPsycholinguistic Aspects, chapter...
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HOW TO BRIDGE THE DISTANCE BETWEEN BUSINESS STRATEGY AND DESIGN.A VISUAL PRESENTATION BY MARTY potx
... BRIDGETHE DISTANCEBETWEENBUSINESS STRATEGYAND DESIGNFINALLYA brand is not a product.A VISUAL PRESENTATION BY MARTY NEUMEIERThe three most important words in differentiating your brand:SECONDA ... CREATIVITY by a wide gap. Copyright © 2003 Neutron LLC. For educational use only. No part of this presentation maybe published, sold, or otherwise used for profit without the written permission...
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Báo cáo khoa học: "Automatically Evaluating Text Coherence Using Discourse Relations" docx
... more coherent.The pair of texts consists of a source text and oneof its permutations (i.e., the text s sentence order israndomized). Assuming that the original text is al-ways more discourse-coherent ... transitions in short texts are few in num-ber, we have very little data to base the coherencejudgment on. However, when faced with even short text excerpts, humans can distinguish coherent textsfrom ... present in the above text: 1. Implicit Comparison between S1as Arg1, and S2as Arg22. Explicit Comparison using “but” between S2asArg1, and S3as Arg23. Explicit Temporal using “as” within...
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Báo cáo khoa học: "Text Chunking using Regularized Winnow" potx
... 92.85Table 3: Chunk prediction results using originalWinnow (with basic features)6 ConclusionIn this paper, we described a text chunking sys-tem using regularized Winnow. Since regularizedWinnow ... However, using more features requires morememory and slows down the algorithm. There-fore in practice it is still necessary to limit thenumber of features used.Letbe a string of tokenized text ... con-straint).Letbe the sequence of tok-enized text for which we would like to find theassociated chunk types. Let be the as-sociated feature vectors for this text sequence. Letbe a sequence of potential...
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Báo cáo khoa học: "Text Segmentation Using Reiteration and Collocation" docx
... document. Previous work on text segmentation has used term matching to identify clusters of related text. Salton and Buckley (1992) and later, Hearst (1994) extracted related text portions by matching ... words across a text rather than the more usual nearest neighbours. A problem with using word repetition is that inappropriate matches can be made because of the lack of contextual information ... cohesion relations that can exist in text. 614 algorithm were compared to the segmentations identified by test subjects for the same texts. Method: Twenty texts were randomly selected for test...
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Báo cáo khoa học: "High-Performance Bilingual Text Alignment Using Statistical and Dictionary Information" pptx
... pair of Japanese and En- glish texts, one the translation of the other. First, sentence boundaries are found in both texts using finite state transducers. The texts are then part- of-speech ... first two texts clar- ify the systems's performance on shorter texts. Text 3 is an essay on economics taken from a quarterly publication of The International House of Japan. Text 4 is ... the case of short texts. Text 3 is easy to align in terms of both the com- plexity of the alignment and the vocabularies used. All methods performed well on this text. For Text 4, Combined...
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Báo cáo khoa học: "Linear Text Segmentation using a Dynamic Programming Algorithm" potx
... were conducted using Choi'spublicly available text collection (Choi, 2000;Choi et al., 2001). This collection consists of 700texts, each text being a concatenation of ten text segments. ... toa wide spectrum of text segmentation tasks. Weare interested in segmentation of non artificial e.greal texts, texts having a diverse distribution ofsegment length, long texts, change-of-topic ... in the sequel:1.Half of the texts in the dataset are chosen ran-domly to be used as training texts; the rest of thesamples are set aside to be used as test texts.2.Appropriate and a values...
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Text extraction from name cards using neural network
... the human visual perception in identifying text lines regardless of text or background colors, foreground objects and text size variation. Julesz [9, 10] introduced the concept of texton in ... contrast images with background having unsmoothed textures. Although the closed contours of texts texts. In any name card, the number of texts falls within a certain range. Based on this property, ... classified as text blocks or non -text block based on the block characteristics. All the text areas are merged in the final output. Though the method is able to handle complex color text with complex...
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- exported using visual basic net
- using a datareader object in visual studio net
- defining a relationship using visual studio net
- creating a dataadapter object using visual studio net
- creating a dataset object using visual studio net
- text categorization using bootstrapping
- korean text documents using comparative lexical patterns
- automatically evaluating text coherence using discourse relations
- connecting to a text file using ado net
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