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Advances in Information Retrieval

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Cover of 'Advances in Information Retrieval'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 2 The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines
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    Chapter 3 From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance
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    Chapter 4 Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants
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    Chapter 5 The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
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    Chapter 6 Reproducibility is a Process, Not an Achievement: The Replicability of IR Reproducibility Experiments
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    Chapter 7 On the Replicability of Combining Word Embeddings and Retrieval Models
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    Chapter 8 Influence of Random Walk Parametrization on Graph Embeddings
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    Chapter 9 Calling Attention to Passages for Biomedical Question Answering
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    Chapter 10 Neural Embedding-Based Metrics for Pre-retrieval Query Performance Prediction
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    Chapter 11 A Latent Model for Ad Hoc Table Retrieval
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    Chapter 12 Hybrid Semantic Recommender System for Chemical Compounds
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    Chapter 13 Assessing the Impact of OCR Errors in Information Retrieval
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    Chapter 14 Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions
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    Chapter 15 Machine-Actionable Data Management Plans: A Knowledge Retrieval Approach to Automate the Assessment of Funders’ Requirements
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    Chapter 16 Session-Based Path Prediction by Combining Local and Global Content Preferences
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    Chapter 17 Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers
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    Chapter 18 Irony Detection in a Multilingual Context
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    Chapter 19 Document Network Projection in Pretrained Word Embedding Space
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    Chapter 20 Supervised Learning Methods for Diversification of Image Search Results
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    Chapter 21 ANTIQUE: A Non-factoid Question Answering Benchmark
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    Chapter 22 Neural Query-Biased Abstractive Summarization Using Copying Mechanism
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    Chapter 23 Distant Supervision for Extractive Question Summarization
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    Chapter 24 Text-Image-Video Summary Generation Using Joint Integer Linear Programming
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    Chapter 25 Domain Adaptation via Context Prediction for Engineering Diagram Search
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    Chapter 26 Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias
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    Chapter 27 Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings
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    Chapter 28 A Multi-task Approach to Open Domain Suggestion Mining Using Language Model for Text Over-Sampling
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    Chapter 29 MedLinker: Medical Entity Linking with Neural Representations and Dictionary Matching
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    Chapter 30 Ranking Significant Discrepancies in Clinical Reports
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    Chapter 32 Semi-supervised Extractive Question Summarization Using Question-Answer Pairs
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    Chapter 33 Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation
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    Chapter 34 PMD: An Optimal Transportation-Based User Distance for Recommender Systems
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    Chapter 35 On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts
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    Chapter 36 SlideImages: A Dataset for Educational Image Classification
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    Chapter 37 Rethinking Query Expansion for BERT Reranking
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    Chapter 38 Personalized Video Summarization Based Exclusively on User Preferences
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    Chapter 39 SentiInc: Incorporating Sentiment Information into Sentiment Transfer Without Parallel Data
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    Chapter 40 Dualism in Topical Relevance
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    Chapter 41 Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings
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    Chapter 42 Easing Legal News Monitoring with Learning to Rank and BERT
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    Chapter 43 Generating Query Suggestions for Cross-language and Cross-terminology Health Information Retrieval
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    Chapter 44 Identifying Notable News Stories
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    Chapter 45 BERT for Evidence Retrieval and Claim Verification
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    Chapter 46 BiOnt: Deep Learning Using Multiple Biomedical Ontologies for Relation Extraction
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    Chapter 47 On the Temporality of Priors in Entity Linking
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    Chapter 48 Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization
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    Chapter 49 DAKE: Document-Level Attention for Keyphrase Extraction
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    Chapter 50 Understanding Depression from Psycholinguistic Patterns in Social Media Texts
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    Chapter 51 Predicting the Size of Candidate Document Set for Implicit Web Search Result Diversification
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    Chapter 52 Aspect-Based Academic Search Using Domain-Specific KB
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    Chapter 53 Dynamic Heterogeneous Graph Embedding Using Hierarchical Attentions
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    Chapter 54 DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations
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    Chapter 55 A Web-Based Platform for Mining and Ranking Association Rules
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    Chapter 56 Army ANT: A Workbench for Innovation in Entity-Oriented Search
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    Chapter 57 A Search Engine for Police Press Releases to Double-Check the News
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    Chapter 58 Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results
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    Chapter 59 Revisionista.PT: Uncovering the News Cycle Using Web Archives
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    Chapter 60 MathSeer: A Math-Aware Search Interface with Intuitive Formula Editing, Reuse, and Lookup
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    Chapter 62 Personal Research Assistant for Online Exploration of Historical News
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    Chapter 63 QISS: An Open Source Image Similarity Search Engine
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    Chapter 64 EveSense: What Can You Sense from Twitter?
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    Chapter 65 CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media
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    Chapter 66 Shared Tasks on Authorship Analysis at PAN 2020
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    Chapter 67 Touché: First Shared Task on Argument Retrieval
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    Chapter 68 Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers
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    Chapter 69 ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications
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    Chapter 70 LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges
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    Chapter 71 BioASQ at CLEF2020: Large-Scale Biomedical Semantic Indexing and Question Answering
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    Chapter 72 eRisk 2020: Self-harm and Depression Challenges
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    Chapter 73 Finding Old Answers to New Math Questions: The ARQMath Lab at CLEF 2020
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    Chapter 74 ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents
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    Chapter 75 Living Labs for Academic Search at CLEF 2020
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    Chapter 76 CLEF eHealth Evaluation Lab 2020
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    Chapter 77 Reproducible Online Search Experiments
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    Chapter 78 Graph-Based Entity-Oriented Search: A Unified Framework in Information Retrieval
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    Chapter 79 Graph Databases for Information Retrieval
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    Chapter 80 Towards a Better Contextualization of Web Contents via Entity-Level Analytics
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    Chapter 81 Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon
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    Chapter 82 Time-Critical Geolocation for Social Good
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    Chapter 83 Bibliometric-Enhanced Legal Information Retrieval
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    Chapter 84 International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020)
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    Chapter 85 Bibliometric-Enhanced Information Retrieval 10th Anniversary Workshop Edition
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    Chapter 86 The 3$$^{\mathrm {rd}}$$ International Workshop on Narrative Extraction from Texts: Text2Story 2020
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    Chapter 87 Proposal of the First International Workshop on Semantic Indexing and Information Retrieval for Health from Heterogeneous Content Types and Languages (SIIRH)
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    Chapter 88 Principle-to-Program: Neural Methods for Similar Question Retrieval in Online Communities
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    Chapter 89 Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval
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Title
Advances in Information Retrieval
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-45442-5
ISBNs
978-3-03-045441-8, 978-3-03-045442-5
Editors

Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins

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