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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 An Information-extraction system for Urdu—a resource-poor language Smruthi Mukund; Rohini Srihari; Erik Peterson In: http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf (2010) Abstract: There has been an increase in the amount of multilingual text on the Internet due to the proliferation of news sources and blogs. The Urdu language, in particular, has experienced explosive growth on the Web. Text mining for information discovery, which includes tasks such as identifying topics, relationships and events, and sentiment analysis, requires sophisticated natural language processing (NLP). NLP systems begin with modules such as word segmentation, part-of-speech tagging, and morphological analysis and progress to modules such as shallow parsing and named entity tagging. While there have been considerable advances in developing such comprehensive NLP systems for English, the work for Urdu is still in its infancy. The tasks of interest in Urdu NLP includes analyzing data sources such as blogs and comments to news articles to provide insight into social and human behavior. All of this requires a robust NLP system. The objective of this work is to develop an NLP infrastructure for Urdu that is customizable and capable of providing basic analysis on which more advanced information extraction tools can be built. This system assimilates resources from various online sources to facilitate improved named entity tagging and Urdu-to-English transliteration. The annotated data required to train the learning models used here is acquired by standardizing the currently limited resources available for Urdu. Techniques Keyword: Algorithms; bootstrap learning; Categories and Subject Descriptors; Experimentation; General General Terms; H.0 [Information Systems; Languages; named entity tagging; part of speech tagging; Performance Additional Key Words and Phrases; shallow parsing; text mining; transliterations; Urdu natural language processing URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.7220 http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf BASE Hide details 2 Automatic Scoring of Short Handwritten Essays in Reading Comprehension Tests Sargur Srihari; Jim Collins; Rohini Srihari... In: http://www.cedar.buffalo.edu/~srihari/papers/TR-01-07.pdf (2007) BASE Show details 3 Information extraction for multi-participant, task-oriented, synchronous, computer-mediated communication: A corpus study of chat data Cassandre Creswell; Nicholas Schwartzmyer; Rohini Srihari In: http://research.ihost.com/and2007/cd/Proceedings_files/p131.pdf (2007) BASE Show details 4 datasets for Using Verbs and Adjectives to Automatically Classify Blog Sentiment Chesley, Paula; Xu, Li; Rohini, Srihari. - : dataset self-published online, 2006 BASE Show details 5 An Expert Lexicon Approach to Identifying English Phrasal Verbs Wei Li; Wei Li Xiuhong; Cheng Niu... In: http://acl.ldc.upenn.edu/acl2003/main/pdfs/Li.pdf (2003) BASE Show details 6 An Expert Lexicon Approach to Identifying English Phrasal Verbs Wei Li; Wei Li Xiuhong; Cheng Niu... In: http://acl.ldc.upenn.edu/P/P03/P03-1065.pdf (2003) BASE Show details 7 Use of Multimedia Input in Automated Image Annotation and Content-Based Retrieval Rohini Srihari In: http://www.cedar.buffalo.edu/Staff/Rohini/Postscript/spie95.ps.Z (1995) BASE Show details 8 An On-Line Cursive Word Recognition System Giovanni Seni; Nasser Nasrabadi; Rohini Srihari In: http://www.cedar.buffalo.edu/Linguistics/papers/ieee.ps (1994) BASE Show details 9 Visual Semantics: Extracting Visual Information from Text Accompanying Pictures Rohini Srihari; Debra T. Burhans In: http://www.cedar.buffalo.edu/Piction/papers/vis_sem.ps (1994) BASE Show details 10 Document Understanding: Research Directions Sargur Srihari; Stephen Lam; Venu Govindaraju... In: http://www.cedar.buffalo.edu/Publications/Postscript/Survey.ps (1992) BASE Show details 11 TREC 2008 at the University at Buffalo: Legal and Blog Track Jianqiang Wang; Ying Sun; Omar Mukhtar... In: http://trec.nist.gov/pubs/trec17/papers/suny-buffalo.legal.blog.rev.pdf BASE Show details 12 An On-Line Cursive Word Recognition System Giovanni Seni Y; Nasser Nasrabadi Z; Rohini Srihari Y In: http://www.cedar.buffalo.edu/handwriting/papers/ieee.pdf BASE Show details 13 Automated Scoring of Handwritten Essays based on Latent Semantic Analysis Sargur Srihari; Jim Collins; Rohini Srihari... In: http://www.cedar.buffalo.edu/~srihari/papers/DAS-2006.pdf BASE Show details 14 Proceedings of the ACL 2003 Workshop on Multilingual Summarization and Question Answering, pp. 84-93. Question Answering on a Case Insensitive Corpus Wei Li; Rohini Srihari; Cheng Niu... In: http://acl.ldc.upenn.edu/acl2003/mlsum/pdfs/Li.pdf BASE Show details 15 Learning to Summarize using Coherence Pradipto Das; Rohini Srihari In: http://www.cedar.buffalo.edu/%7Erohini/Papers/pdasNIPS09Wkshp.pdf BASE Show details 16 Utterance Topic Model for Generating Coherent Summaries Pradipto Das; Rohini Srihari In: http://www.cedar.buffalo.edu/%7Erohini/Papers/UBSummarizer-TAC2009.pdf BASE Show details 17 Utterance Topic Model for Generating Coherent Summaries Pradipto Das; Rohini Srihari In: http://www.nist.gov/tac/publications/2009/participant.papers/UBSummarizer.proceedings.pdf BASE Show details 18 A Question Answering System Supported by Information Extraction Rohini Srihari; Wel Li BASE Show details 19 A Hybrid Approach for Named Entity and Sub-Type Tagging Rohini Srihari BASE Show details

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