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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 1 Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
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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 31 Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning
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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 61 NLPExplorer: Exploring the Universe of NLP Papers
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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
Attention for Chapter 68: Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers
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Chapter title
Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers
Chapter number 68
Book title
Advances in Information Retrieval
Published by
Springer, Cham, April 2020
DOI 10.1007/978-3-030-45442-5_68
Book ISBNs
978-3-03-045441-8, 978-3-03-045442-5
Authors

Maud Ehrmann, Matteo Romanello, Stefan Bircher, Simon Clematide

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Ph. D. Student 2 18%
Professor 1 9%
Student > Bachelor 1 9%
Lecturer 1 9%
Other 3 27%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 6 55%
Engineering 2 18%
Nursing and Health Professions 1 9%
Arts and Humanities 1 9%
Unknown 1 9%