<--- Back to Details
First PageDocument Content
Natural language processing / Computational linguistics / Statistical natural language processing / Query expansion / Language model / Stemming / N-gram / Document retrieval / Query likelihood model / Information science / Information retrieval / Science
Natural language processing
Computational linguistics
Statistical natural language processing
Query expansion
Language model
Stemming
N-gram
Document retrieval
Query likelihood model
Information science
Information retrieval
Science

Microsoft Word - BlogRetrieval06ict.doc

Add to Reading List

Source URL: trec.nist.gov

Download Document from Source Website

File Size: 215,72 KB

Share Document on Facebook

Similar Documents

Flood Safety Damage stemming from flooding can be very expensive and in more sever instances, life threat‐ ening.  Since floods can occur from a variety of reasons and during any  me of t

DocID: 1uSof - View Document

Het verdrag van Versailles en de Duitse herstelbetalingen door J.H.J. Andriessen Dit artikel laat zien hoe na de torpedering van de Lusitania door de Duitsers de stemming in de USA radicaal veranderde. Verder: het vredes

DocID: 1umT7 - View Document

A Statement Stemming from the Minute: “Living Sustainably and Sustaining Life on Earth” From the FWCC World Plenary in Pisac, Peru – January 2016 I write this statement out of loving commitment to the FWCC and to l

DocID: 1tJqT - View Document

Creating Knowledge. Since 1502 In the 21st century, the success of a society is determined by its level of knowledge and its cognitive ability. The role of culturally orientated knowledge stemming from the humanities an

DocID: 1tE5l - View Document

Sharing Cyber Security Information - Good Practice Stemming from the Dutch Public-Private Approach

DocID: 1sC5o - View Document