Discontinuous Statistical Machine Translation with Target-Side Dependency Syntax Nina Seemann and Andreas Maletti Institute for Natural Language Processing, Universit¨at Stuttgart Pfaffenwaldring 5b, 70569 Stuttgart, Ge

Source URL: aclweb.org

Statistical Learning of Nonadjacencies Predicts On-line Processing of Long-Distance Dependencies in Natural Language Jennifer B. Misyak () and Morten H. Christiansen () Department

Source URL: cnl.psych.cornell.edu

Automatic adaptation of Proper Noun Dictionaries through cooperation of machine learning and probabilistic methods Georgios Petasis, Alessandro Cucchiarelli(*),Paola Velardi(§), Georgios Paliouras, Vangelis Karkaletsis,

Source URL: wwwusers.di.uniroma1.it

• Linguistics
• Computational linguistics
• Machine learning
• Artificial intelligence
• Cognition
• Natural language processing
• Semantics
• Statistical classification
• Word-sense disambiguation
• Parsing
• Supervised learning
• Probabilistic classification

CROSS TASK STUDY ON MIREX RECENT RESULTS: AN INDEX FOR EVOLUTION MEASUREMENT AND SOME STAGNATION HYPOTHESES Ricardo Scholz Geber Ramalho

Source URL: wp.nyu.edu

• Information science
• Information retrieval
• Music information retrieval
• Music software
• Mirex
• Music technology
• International Society for Music Information Retrieval
• Natural language processing
• Score following
• Onset
• Statistical classification
• Draft:Music information retrieval

Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains Abstract We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in

Source URL: cl.indiana.edu

• Machine learning
• Artificial intelligence
• Learning
• Statistical classification
• Cognition
• Natural language processing
• Semi-supervised learning
• Co-training
• Supervised learning
• Domain adaptation
• Sentiment analysis
• Support vector machine

SMS based FAQ Retrieval using Theme Matching Scheme Deba P. Mandal and Saptaditya Maiti Machine Intelligence Unit Indian Statistical Institute, Kolkata, India

Source URL: www.isical.ac.in

• Information science
• Information retrieval
• Natural language processing
• Query
• Internet search

Introduction to Information Retrieval ` `%%%`#_`__~~~false [0.5cm] IIR 6&7: Vector Space Model

Source URL: essir.uni-koblenz.de

• Information science
• Information retrieval
• Algebra
• Natural language processing
• Vector space model
• Statistical natural language processing
• Tfidf
• Latent semantic analysis
• Vector
• Learning to rank
• Euclidean vector
• Matrix

Adding Context Information to Part Of Speech Tagging for Dialogues Sandra Kübler, Matthias Scheutz, Eric Baucom, Ross Israel Indiana University Bloomington, IN, USA {skuebler,mscheutz,eabaucom,raisrael}@indiana.edu

Source URL: cl.indiana.edu

• Linguistics
• Natural language processing
• Corpus linguistics
• Economy
• Markov models
• Computational linguistics
• Part-of-speech tagging
• Word-sense disambiguation
• Statistical natural language processing
• Tagger
• Trigram tagger
• Treebank

Microsoft Word - wch.V1.5.print.doc

Source URL: www.sogou.com

• Information science
• Data mining
• Information
• Natural language processing
• Statistical natural language processing
• Document clustering
• Cluster analysis
• Topic model
• Information retrieval
• UPGMA

Assignment 7 L645 / B659 Due Wednesday, October 28 You are encouraged to work in groups for this assignment, but should turn in your own individual work. 1. Parameter Estimation Re-estimate the first round of Baum-Welch

Source URL: cl.indiana.edu

• Statistical natural language processing
• Topic model
• Artificial intelligence
• Mallet
• Learning
• Software