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Ten Years of Rich Internet Applications: A Systematic Mapping Study, and Beyond
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| 2 |
Word sense disambiguation: a survey
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In: http://www.dsi.uniroma1.it/~navigli/pubs/ACM_Survey_2009_Navigli.pdf (2009)
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Summarization System Evaluation Revisited: N-Gram Graphs
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In: http://cgi.di.uoa.gr/~takis/tslp.pdf (2008)
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| 4 |
Dual Cross-Media Relevance Model for Image Annotation
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In: http://nlpr-web.ia.ac.cn/2007papers/gjhy/gh23.pdf (2007)
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| 5 |
Broad Expertise Retrieval in Sparse Data Environments
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In: http://ilk.uvt.nl/~toine/publications/balog.2007.sigir2007-paper.pdf (2007)
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BASE
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| 6 |
CoLesIR at CLEF 2006: rapid prototyping of a N-gram-based CLIR system
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In: http://coleweb.dc.fi.udc.es/cole/library/ps/VilOakTai2006a.pdf (2006)
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| 7 |
Textual Analysis of Stock Market Prediction Using Financial News Articles
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In: http://www.robschumaker.com/publications/ACM TOIS - Textual Analysis of Stock Market Prediction Using Financial News Articles.pdf (2006)
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| 8 |
Concept frequency distribution in biomedical text summarization
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In: http://www.cs.fiu.edu/%7Elli003/Sum/CIKM/2006/p604-reeve.pdf (2006)
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| 9 |
Exploiting Linguistic Indices and Syntactic Structures for Multilingual Question Answering: ITC-irst at CLEF 2005
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In: http://tanev.dir.bg/CLEF05.pdf (2005)
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| 10 |
Generic soft pattern models for definitional question answering
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In: http://www.comp.nus.edu/~kanmy/papers/f65-cui.pdf (2005)
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| 11 |
Hardware speech recognition for user interfaces in low cost, low power devices
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In: http://www.cs.york.ac.uk/rts/docs/DAC-1964-2005/papers/2005/dac05/pdffiles/p684.pdf (2005)
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Abstract:
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constrained devices. The system is intended to support real-time speech-based user interfaces as part of an eort to bring Information and Communication Technologies (ICTs) to underdeveloped regions of the world. Our system architecture exploits a shared infrastructure model. The computationally intensive task of speech model training and retraining is performed oine by shared servers, while the actual recognition of speech is conducted on low-cost hand-held devices using custom hardware. The recognizer is extremely exible and can support mul-tiple languages or dialects with speaker-independent recogni-tion.Dynamic loading of speech models is used for changing language grammar and retraining, while reprogramming is used to support evolution of recognition algorithms. The focus on small sets of words (at one time) reduces the complexity, cost and power consumption. We design the speech decoder, the central component of the recognizer, and we validate it via a prototype FPGA implementation. We then use ASIC synthesis to estimate power and size for the design. Our evaluations demonstrate an order of magnitude improve-ment in power compared with optimized recognition software running on a low-power embedded general-purpose processor of the same technology and of similar capabilities. The synthesis also estimates the area of the design to be about 2.5mm2, show-ing potential for lower cost. In designing and testing our recog-nizer we use datasets in both English and Tamil languages.
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Keyword:
Algorithms; ASIC; Design; General Terms; low power; Measurement; Perfor- mance. Keywords; Speech recognition; tamil; TIER
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.575.9791
http://www.cs.york.ac.uk/rts/docs/DAC-1964-2005/papers/2005/dac05/pdffiles/p684.pdf
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| 12 |
Hardware speech recognition for user interfaces in low cost, low power devices
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In: http://tier.cs.berkeley.edu/docs/projects/42-2-nedevschi.pdf (2005)
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| 13 |
Discovering word senses from text
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In: http://l2r.cs.uiuc.edu/~danr/Teaching/CS598-05/Papers/Pantel-Lin-Senses.pdf (2002)
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| 14 |
Meaningful term extraction and discriminative term selection in text categorization via unknown-word methodology
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In: http://www.cs.toronto.edu/~gh/Courses/2528/Readings/2002f/Lai+Wu.pdf (2002)
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| 15 |
2006 Using Syntactic Knowledge for QA ∗
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In: http://www.let.rug.nl/~vannoord/papers/clef2006.pdf
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| 16 |
Miscellaneous
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In: http://www.science.uva.nl/~mdr/Publications/Files/cikm2007.pdf
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| 17 |
Improved Count Suffix Trees for Natural Language Data
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In: http://dbis.ipd.kit.edu/download/sautter_IDEAS08.pdf
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| 18 |
Broad Expertise Retrieval in Sparse Data Environments ABSTRACT
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In: http://eprints.gla.ac.uk/3861/01/balog3861.pdf
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| 19 |
Broad Expertise Retrieval in Sparse Data Environments ABSTRACT
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In: http://www.science.uva.nl/~mdr/Publications/Files/sigir2007-experts.pdf
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| 20 |
Knowledge Capture from Multiple Online Sources with the Extensible Web Retrieval Toolkit (eWRT)
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In: http://eprints.weblyzard.com/65/1/kcap-ewrt.pdf
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