Probabilistic Models for Learning a Semantic Parser Lexicon Jayant Krishnamurthy Allen Institute for Artificial Intelligence 2157 N. Northlake Way, Suite 110 Seattle, WA 98103

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

• Academia
• Linguistics
• Cognition
• Formal languages
• Compiler construction
• Cognitive science
• Grammar
• Parsing
• Natural language processing
• Context-free grammar
• Computational linguistics
• Semantics

US007555427B2United States Patent (io) Patent No.: (45) Date of Patent:

Source URL: www.kirshenbaum.net

• Linguistics
• Semantics
• Computational linguistics
• Grammar
• Natural language processing
• Lexical semantics
• Semantic similarity
• Morphology
• Word sense
• Subject
• Semantic memory
• SemEval

Extracting Knowledge from Text with PIKES Francesco Corcoglioniti, Marco Rospocher, and Alessio Palmero Aprosio Fondazione Bruno Kessler—IRST, Via Sommarive 18, Trento, I-38123, Italy {corcoglio,rospocher,aprosio}@fbk.

Source URL: dkm-static.fbk.eu

• Semantic Web
• Resource Description Framework
• Knowledge representation
• Web services
• RDF Schema
• SPARQL
• Knowledge extraction
• Web Ontology Language
• Natural language processing
• Web resource
• Named graph
• DBpedia

Microsoft Word - klippel2011spatial_event.doc

Source URL: www.cognitivegiscience.psu.edu

• Linguistics
• Cognition
• Parts of speech
• Cognitive science
• Natural language processing
• Statistical natural language processing
• Computational linguistics
• Language
• Preposition and postposition
• Latent semantic analysis
• Domain-specific language
• Adjective

Concept-Based Information Retrieval using Explicit Semantic Analysis OFER EGOZI, SHAUL MARKOVITCH, and EVGENIY GABRILOVICH Technion—Israel Institute of Technology Information retrieval systems traditionally rely on te

Source URL: www.cs.technion.ac.il

• Information science
• Information retrieval
• Natural language processing
• Explicit semantic analysis
• Evgeniy Gabrilovich
• Semantic similarity
• Document retrieval
• Search engine indexing
• Subject
• Query expansion
• Relevance
• Document classification

POSH - The Prolog OWL Shell Chris Mungall Abstract. Two of the most common ways of processing and manipulating OWL ontologies are through an ontology editing environment (e.g. Protege or TopBraid) or via a programmatic i

Source URL: webont.org

• Semantic Web
• Resource Description Framework
• Information science
• Knowledge engineering
• Knowledge representation
• Web Ontology Language
• Semantic reasoner
• Prolog
• Description logic
• Ontology
• Jena
• SPARQL

Streaming OWL Mike Dean BBN Technologies, Ann Arbor MI, USA Abstract. Stream processing can offer significant performance and scalability advantages for many Semantic Web applications. An important OWL prof

Source URL: ceur-ws.org

Identifying Individuals using Identity Features and Social Information Matthew Rowe Web Intelligence Technologies Lab Department of Computer Science University of Sheffield, UK

Source URL: people.csail.mit.edu

• Knowledge engineering
• Semantic Web
• Social information processing
• Fraud
• Identity theft
• Ontology
• Online identity
• Identity
• Social web
• Social network
• Social search
• Identity management

TECHNOLOGY & METHODOLOGY OVERVIEW The cognitive computing engine powering tru360 uses natural language processing (NLP) to derive quantitative data from semantic input. Cognitive computing systems are able to address co

Source URL: app.insight360.io

C:/Documents and Settings/Zia Ul Qayyum/Desktop/Conf Papers/IEAAIE 2010/IEA-AIE/IAE-CRC.dvi

Source URL: www.cognitivegiscience.psu.edu

• Image search
• Artificial intelligence applications
• Natural language processing
• Content-based image retrieval
• Cluster analysis
• Image retrieval
• Information retrieval
• Semantic memory