1 |
An Information-extraction system for Urdu—a resource-poor language
|
|
|
|
In: http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf (2010)
|
|
BASE
|
|
Show details
|
|
2 |
Automatic Scoring of Short Handwritten Essays in Reading Comprehension Tests
|
|
|
|
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
|
|
|
|
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
|
|
|
|
Abstract:
Training and test datasets for the paper "Using Verbs and Adjectives to Automatically Classify Blog Sentiment", available online at http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.179.3144&rep=rep1&type=pdf . Zip files of texts from blogs that are manually classified as having positive, negative, or neutral sentiment. ; Training and test datasets for the paper "Using Verbs and Adjectives to Automatically Classify Blog Sentiment", available online at http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.179.3144&rep=rep1&type=pdf . Zip files of texts from blogs that are manually classified as having positive, negative, or neutral sentiment. ; N/A
|
|
Keyword:
blog; computational linguistics; linguistics; sentiment analysis
|
|
URL: http://www.tc.umn.edu/~ches0045/data/ http://purl.umn.edu/127160
|
|
BASE
|
|
Hide details
|
|
5 |
An Expert Lexicon Approach to Identifying English Phrasal Verbs
|
|
|
|
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
|
|
|
|
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
|
|
|
|
In: http://www.cedar.buffalo.edu/Staff/Rohini/Postscript/spie95.ps.Z (1995)
|
|
BASE
|
|
Show details
|
|
8 |
An On-Line Cursive Word Recognition System
|
|
|
|
In: http://www.cedar.buffalo.edu/Linguistics/papers/ieee.ps (1994)
|
|
BASE
|
|
Show details
|
|
9 |
Visual Semantics: Extracting Visual Information from Text Accompanying Pictures
|
|
|
|
In: http://www.cedar.buffalo.edu/Piction/papers/vis_sem.ps (1994)
|
|
BASE
|
|
Show details
|
|
10 |
Document Understanding: Research Directions
|
|
|
|
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
|
|
|
|
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
|
|
|
|
In: http://www.cedar.buffalo.edu/handwriting/papers/ieee.pdf
|
|
BASE
|
|
Show details
|
|
13 |
Automated Scoring of Handwritten Essays based on Latent Semantic Analysis
|
|
|
|
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
|
|
|
|
In: http://acl.ldc.upenn.edu/acl2003/mlsum/pdfs/Li.pdf
|
|
BASE
|
|
Show details
|
|
15 |
Learning to Summarize using Coherence
|
|
|
|
In: http://www.cedar.buffalo.edu/%7Erohini/Papers/pdasNIPS09Wkshp.pdf
|
|
BASE
|
|
Show details
|
|
16 |
Utterance Topic Model for Generating Coherent Summaries
|
|
|
|
In: http://www.cedar.buffalo.edu/%7Erohini/Papers/UBSummarizer-TAC2009.pdf
|
|
BASE
|
|
Show details
|
|
17 |
Utterance Topic Model for Generating Coherent Summaries
|
|
|
|
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
|
|
|
|
BASE
|
|
Show details
|
|
|
|