'Term document inverted index' diaporamas de présentation

Tolerant IR

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Information Retrieval and Search Engines

Information Retrieval and Search Engines. Lecture 3: Dictionaries and Tolerant Retrieval Prof. Michael R. Lyu. Motivation of This Lecture. What data structure should we use to store the dictionary in index? How to design index so that we could search goog * and ba *du?

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COMP4210: Information Retrieval and Search Engines Lecture 3: Dictionaries and tolerant retrieval

COMP4210: Information Retrieval and Search Engines Lecture 3: Dictionaries and tolerant retrieval United International College. Ch. 2. Recap of the previous lecture. The type/token distinction Terms are normalized types put in the dictionary Tokenization problems:

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An Introduction to IR

An Introduction to IR. Lecture 3 Dictionaries and Tolerant retrieval. Tokenizer. Friends. Romans. Countrymen. Token stream. Linguistic modules. friend. friend. roman. countryman. Modified tokens. roman. Indexer. 2. 4. countryman. 1. 2. Inverted index. 16. 13. Go Over.

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Modified from Stanford CS276 slides Chap. 3: Dictionaries and tolerant retrieval

Modified from Stanford CS276 slides Chap. 3: Dictionaries and tolerant retrieval. Ch. 2. Recap of the previous lecture. The type/token distinction Terms are normalized types put in the dictionary Tokenization problems: Hyphens, apostrophes, compounds, Chinese Term equivalence classing:

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CS276A Information Retrieval

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CS276

CS276. Lecture 3 Dictionaries and Tolerant retrieval. Recap of the previous lecture. The type/token distinction Terms are normalized types put in the dictionary Tokenization problems: Hyphens, apostrophes, compounds, Chinese Term equivalence classing:

670 views • 48 slides

CS276A Information Retrieval

588 views • 48 slides

495 views • 48 slides

CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010 Lecture 3: The dictionary and tolerant retrieval. Ch. 2. Recap of the previous lecture. The type/token distinction Terms are normalized types put in the dictionary Tokenization problems: Hyphens, apostrophes, compounds, Chinese

539 views • 43 slides

Dictionaries and Tolerant retrieval

Dictionaries and Tolerant retrieval. Slides adapted from Stanford CS297:Introduction to Information Retrieval. A skipped lecture. The type/token distinction Terms are normalized types put in the dictionary Tokenization problems: Hyphens, apostrophes, compounds, Chinese

414 views • 39 slides

Dictionaries and Tolerant retrieval

561 views • 25 slides