Building ontologies from textual resources: A pattern based improvement using deep linguistic information Sami Ghadfi, Nicolas Béchet and Giuseppe Berio IRISA, UMR 6074, Université de Bretagne-Sud, 56017 Vannes, France

Source URL: ontologydesignpatterns.org

• Linguistics
• Semantic Web
• Cognitive science
• Syntax
• Natural language processing
• Knowledge representation
• Information science
• Technical communication
• Ontology learning
• Ontology
• Hyponymy and hypernymy
• Dependency grammar

Microsoft Word - Module_SearchStrategies_2007.1104.doc

Source URL: curric.dlib.vt.edu

• Information science
• Information
• Library science
• Humancomputer interaction
• Cognitive science
• Natural language processing
• Information theory
• Information seeking behavior
• Browsing
• Usability
• Digital library
• Text Retrieval Conference

Natural Language-based Software Analyses and Tools for Software Maintenance Lori Pollock1 , K. Vijay-Shanker1 , Emily Hill2 , Giriprasad Sridhara1 , and David Shepherd3? 1

Source URL: users.drew.edu

• Software engineering
• Linguistics
• Computing
• Computational linguistics
• Source code
• Naming conventions
• CamelCase
• Identifier
• Reserved word
• WordNet
• Parsing
• Verb

7-b: Digital Library Curriculum Development Module: Reference Services Draft: 7 OctoberModule name: Reference Services

Source URL: curric.dlib.vt.edu

• Library science
• Reference
• Natural language processing
• Computational linguistics
• Digital reference
• Bibliography
• Question answering
• Reference interview
• Reference desk
• Text Retrieval Conference
• Librarian
• Library

syllabus for csefall semester cse659 statistical natural language processing instructor: Geunbae Lee, Eng 2-211, _, language: English 1. Course objectives

Source URL: nlp.postech.ac.kr

Seems Like a Double Object Dennis Ryan Storoshenko 1 Introduction Tree Adjoining Grammar (TAG) is a computationally well-defined model of tree construction which can be applied to natural language (Joshi et alIn

Source URL: people.ucalgary.ca

Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions

Source URL: ai2-website.s3.amazonaws.com

• Reasoning
• Logic
• Cognitive science
• Cognition
• Natural language processing
• Question answering
• Artificial intelligence
• Knowledge representation and reasoning
• Chess problem
• Problem solving
• SAT
• Inference

VizLinc: Integrating information extraction, search, graph analysis, and geo-location for the visual exploration of ∗ large data sets Joel C. Acevedo-Aviles, William M. Campbell, Daniel C. Halbert, Kara Greenfield MIT

Source URL: poloclub.gatech.edu

• Natural language processing
• Semantic Web
• Internet search engines
• Knowledge representation
• Graph database
• Facebook Graph Search
• Data model
• Information retrieval
• Database
• Social network analysis software
• Aster Data Systems

(Brief) Introduction to (Selected Aspects of) Natural Language Processing and Machine Learning Jaromir Savelka and Matthias Grabmair Intelligent Systems Program University of Pittsburgh

Source URL: people.cs.pitt.edu

• Computational linguistics
• Machine learning
• Natural language processing
• Speech recognition
• Artificial intelligence
• Statistical classification
• Cognition
• Cognitive science
• Outline of natural language processing

Lemur (Draft last modifiedModule name: Lemur 2. Scope This module addresses the basic concepts of the Lemur platform that is specifically designed to facilitate research in Language Modeling and informati

Source URL: curric.dlib.vt.edu

• Natural language processing
• Statistical natural language processing
• Lemur Project
• Machine learning
• Information retrieval
• Document retrieval
• XML retrieval
• Tfidf
• Stemming
• Relevance
• Latent semantic analysis
• Language model