'Query expansion' presentation slideshows

Applications (1 of 2): Information Retrieval

Applications (1 of 2): Information Retrieval. Kenneth Church Kenneth.Church@jhu.edu. Pattern Recognition Problems in Computational Linguistics. Information Retrieval: Is this doc more like relevant docs or irrelevant docs? Author Identification:

1.03k views • 88 slides

Query Processing: Query Formulation

Query Processing: Query Formulation. Ling573 NLP Systems and Applications April 14, 2011. Roadmap. Motivation: Retrieval gaps Query F ormulation: Question Series Query reformulation: AskMSR patterns MULDER parse-based formulation Classic query expansion Semantic resources

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Full-Text Indexing

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Query Language

Query Language. Baeza-Yates and Navarro Modern Information Retrieval, 1999 Chapter 4. Query Language. Keyword-based Querying Single-word Queries Context Queries Phrase Proximity Boolean Queries Natural Language. Query Language (Cont.). Pattern Matching Words Prefixes Suffixes

548 views • 34 slides

Modern Information Retrieval Chapter 5 Query Operations

Modern Information Retrieval Chapter 5 Query Operations. ??????? ??? 89522022. Introduction. It is difficult to formulate queries which are well designed for retrieval purposes. Improving the initial query formulation through query expansion and term reweighting . Approaches based on:

735 views • 33 slides

Block-based Web Search

Block-based Web Search. Deng Cai *1 , Shipeng Yu *2 , Ji-Rong Wen * and Wei-Ying Ma * * Microsoft Research Asia 1 Tsinghua University 2 University of Munich Presented by Hong Cheng. Problems in Traditional IR. Term-Document Irrelevance Problem Noisy terms Multiple topics

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Multiple Retrieval Models and Regression Models for Prior Art Search

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Context-Aware Web Search in Ubiquitous Sensor Environments

Context-Aware Web Search in Ubiquitous Sensor Environments. TAKUYA MAEKAWA,YUTAKA YANAGISAWA,YASUSHI SAKURAI, and YASUE KISHINO KOJI KAMEI TAKESHI OKADOME Publication date: January 2012. CSU ID : 2556218 Hardik Parikh. Introduction.

353 views • 24 slides

Using Domain Ontologies to Improve Information Retrieval in Scientific Publications

Using Domain Ontologies to Improve Information Retrieval in Scientific Publications. Engineering Informatics Lab at Stanford. Data. TREC Genomics 2007 Data Set. Over 162,000 full-text scientific publications from 49 prominent journals in biomedicine Metadata available through MEDLINE

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Overview

User Interface Design for Search Term Recommendation and Interactive Query Expansion Services 8 th NKOS Workshop at 13 th ECDL 2009. Philipp Schaer with the help of Daniela Holl and Dominik Hering philipp.schaer@gesis.org Corfu , 2009-10-01. Overview. Motivation.

347 views • 19 slides

INAOE at ImageCLEF2007 Towards Annotation based Image Retrieval

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Click Evidence Signals and Tasks

Click Evidence Signals and Tasks. Vishwa Vinay Microsoft Research, Cambridge. Introduction. Signals Explicit Vs Implicit Evidence Of what? From where? Used how? Tasks Ranking, Evaluation & many more things search. Clicks as Input . Task = Relevance Ranking

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Expanding Query Terms in Context

Expanding Query Terms in Context. Chris Staff and Robert Muscat Department of Computer Science & AI University of Malta. Aims of this presentation. Background The Vocabulary Problem in IR Scenario Using retrieved documents to determine how to expand query Approach Evaluation.

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Interactive Recommendation about Location and Activity Using Integrated Random Walk

Interactive Recommendation about Location and Activity Using Integrated Random Walk. Group Members R98922004 Yun- Nung Chen R98922009 Che -An Lu R99922107 Ring Li R99922109 Jerry Cheng. Goal of Project. For a query about location Recommend locations/activities

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CS 533 Presentation Hamed Rezanejad Emre Nevayeshirazi

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LyricSearch: A Text-Based Search Engine for Lyrics

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Query Expansion in Information Retrieval using a Bayesian Network-Based Thesaurus

Query Expansion in Information Retrieval using a Bayesian Network-Based Thesaurus. Luis M. de Campus, Juan M. Fernandez, Juan F. Huete. Introduction. Methods for query expansion based on Bayesian networks preprocessing : Smart [25]

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The SYNTHESYS Specimen and Observation Portal

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