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Advances in Information Retrieval

Overview of attention for book
Advances in Information Retrieval
Springer, Cham

Table of Contents

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    Book Overview
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    Chapter 1 Entity Linking to One Thousand Knowledge Bases
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    Chapter 2 Where Do All These Search Terms Come From? – Two Experiments in Domain-Specific Search
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    Chapter 3 Using Query Performance Predictors to Reduce Spoken Queries
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    Chapter 4 Entity Linking in Queries: Efficiency vs. Effectiveness
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    Chapter 5 Cross-Lingual Sentiment Relation Capturing for Cross-Lingual Sentiment Analysis
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    Chapter 6 Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity
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    Chapter 7 Collective Entity Linking in Tweets Over Space and Time
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    Chapter 8 Simple Personalized Search Based on Long-Term Behavioral Signals
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    Chapter 9 The Effects of Search Task Determinability on Search Behavior
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    Chapter 10 Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies
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    Chapter 11 Fusion of Bag-of-Words Models for Image Classification in the Medical Domain
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    Chapter 12 Do Topic Shift and Query Reformulation Patterns Correlate in Academic Search?
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    Chapter 13 Learning to Re-rank Medical Images Using a Bayesian Network-Based Thesaurus
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    Chapter 14 A Part-of-Speech Enhanced Neural Conversation Model
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    Chapter 15 “Are Machines Better Than Humans in Image Tagging?” - A User Study Adds to the Puzzle
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    Chapter 16 Utterance Retrieval Based on Recurrent Surface Text Patterns
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    Chapter 17 How Do Order and Proximity Impact the Readability of Event Summaries?
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    Chapter 18 Sentiment Propagation for Predicting Reputation Polarity
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    Chapter 19 Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing
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    Chapter 20 Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data
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    Chapter 21 E-Government and the Digital Divide: A Study of English-as-a-Second-Language Users’ Information Behaviour
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    Chapter 22 A Task Completion Engine to Enhance Search Session Support for Air Traffic Work Tasks
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    Chapter 23 Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs
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    Chapter 24 Feature-Oriented Analysis of User Profile Completion Problem
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    Chapter 25 Generating Descriptions of Entity Relationships
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    Chapter 26 Language Influences on Tweeter Geolocation
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    Chapter 27 Human-Based Query Difficulty Prediction
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    Chapter 28 Fixed-Cost Pooling Strategies Based on IR Evaluation Measures
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    Chapter 29 A Formal and Empirical Study of Unsupervised Signal Combination for Textual Similarity Tasks
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    Chapter 30 Paper2vec: Combining Graph and Text Information for Scientific Paper Representation
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    Chapter 31 Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding
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    Chapter 32 Ancient Roman Coin Retrieval: A Systematic Examination of the Effects of Coin Grade
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    Chapter 33 A Systematic Analysis of Sentence Update Detection for Temporal Summarization
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    Chapter 34 A Multiple-Instance Learning Approach to Sentence Selection for Question Ranking
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    Chapter 35 Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings
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    Chapter 36 Predicting Users’ Future Interests on Twitter
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    Chapter 37 A New Scheme for Scoring Phrases in Unsupervised Keyphrase Extraction
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    Chapter 38 JustEvents: A Crowdsourced Corpus for Event Validation with Strict Temporal Constraints
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    Chapter 39 Dimension Projection Among Languages Based on Pseudo-Relevant Documents for Query Translation
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    Chapter 40 Labeling Topics with Images Using a Neural Network
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    Chapter 41 Leveraging Site Search Logs to Identify Missing Content on Enterprise Webpages
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    Chapter 42 LTRo: Learning to Route Queries in Clustered P2P IR
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    Chapter 43 Faster K-Means Cluster Estimation
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    Chapter 44 Predicting Emotional Reaction in Social Networks
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    Chapter 45 Irony Detection with Attentive Recurrent Neural Networks
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    Chapter 46 We Used Neural Networks to Detect Clickbaits: You Won’t Believe What Happened Next!
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    Chapter 47 Learning to Classify Inappropriate Query-Completions
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    Chapter 48 Counteracting Novelty Decay in First Story Detection
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    Chapter 49 Predicting Genre Preferences from Cultural and Socio-Economic Factors for Music Retrieval
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    Chapter 50 Batch Incremental Shared Nearest Neighbor Density Based Clustering Algorithm for Dynamic Datasets
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    Chapter 51 Improving Tweet Representations Using Temporal and User Context
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    Chapter 52 Personalized Parsimonious Language Models for User Modeling in Social Bookmaking Systems
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    Chapter 53 A Novel Word Embedding Based Stemming Approach for Microblog Retrieval During Disasters
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    Chapter 54 Search Personalization with Embeddings
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    Chapter 55 Do Easy Topics Predict Effectiveness Better Than Difficult Topics?
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    Chapter 56 Named Entity Classification Using Search Engine’s Query Suggestions
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    Chapter 57 “When Was This Picture Taken?” – Image Date Estimation in the Wild
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    Chapter 58 Low-Cost Preference Judgment via Ties
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    Chapter 59 Using Section Headings to Compute Cross-Lingual Similarity of Wikipedia Articles
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    Chapter 60 Learning to Rank for Consumer Health Search: A Semantic Approach
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    Chapter 61 Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks
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    Chapter 62 Word Similarity Based Model for Tweet Stream Prospective Notification
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    Chapter 63 Negative Feedback in the Language Modeling Framework for Text Recommendation
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    Chapter 64 Plagiarism Detection in Texts Obfuscated with Homoglyphs
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    Chapter 65 Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback
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    Chapter 66 Design Patterns for Fusion-Based Object Retrieval
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    Chapter 67 On the Long-Tail Entities in News
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    Chapter 68 Search Costs vs. User Satisfaction on Mobile
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    Chapter 69 On the Efficiency of Selective Search
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    Chapter 70 Does Online Evaluation Correspond to Offline Evaluation in Query Auto Completion?
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    Chapter 71 A Neural Attention Model for Categorizing Patient Safety Events
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    Chapter 72 Promoting Understandability in Consumer Health Information Search
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    Chapter 73 A Social Framework for Set Recommendation in Group Recommender Systems
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    Chapter 74 Pyndri: A Python Interface to the Indri Search Engine
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    Chapter 75 “Hey, vitrivr!” – A Multimodal UI for Video Retrieval
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    Chapter 76 FairScholar: Balancing Relevance and Diversity for Scientific Paper Recommendation
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    Chapter 77 The SENSEI Overview of Newspaper Readers’ Comments
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    Chapter 78 Temporal Semantic Analysis of Conference Proceedings
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    Chapter 79 QweetFinder: Real-Time Finding and Filtering of Question Tweets
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    Chapter 80 Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef
Attention for Chapter 31: Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding
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Citations

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Summary Dimensions citations
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Chapter title
Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding
Chapter number 31
Book title
Advances in Information Retrieval
Published in
Lecture notes in computer science, April 2017
DOI 10.1007/978-3-319-56608-5_31
Book ISBNs
978-3-31-956607-8, 978-3-31-956608-5
Authors

Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Navid Rekabsaz, Mihai Lupu, Allan Hanbury

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Researcher 4 14%
Student > Master 3 10%
Other 2 7%
Student > Bachelor 2 7%
Other 3 10%
Unknown 8 28%
Readers by discipline Count As %
Computer Science 17 59%
Engineering 3 10%
Agricultural and Biological Sciences 1 3%
Unknown 8 28%

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