Advances in information retrieval [electronic resource] : 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings. Part II / Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins (eds.).

By: (42nd : European Conference on IR Research (42nd : 2020 : Lisbon, Portugal)
Contributor(s): Jose, Joemon M | Yilmaz, Emine (Computer engineer) | Magalhães, João | Castells, Pablo | Ferro, Nicola | Silva, Mário J | Martins, Flávio
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 12036.; LNCS sublibrary: Publisher: Cham : Springer, 2020Description: 1 online resource (709 p.)ISBN: 9783030454425; 3030454428Other title: ECIR 2020Subject(s): Information retrieval -- Congresses | Data mining -- Congresses | Information storage and retrieval systems -- CongressesGenre/Form: Electronic books. | Electronic books. Additional physical formats: Print version:: Advances in Information Retrieval : 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part IIDDC classification: 025.0425 LOC classification: Z667Online resources: Click here to access online
Contents:
Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Reproducibility Papers -- Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments -- 5 Conclusion -- References -- The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines -- 1 Introduction -- 2 Corpus Analysis: Retrieval-Equivalent Documents -- 3 Assessment of Content-Equivalent Documents -- 4 Impact of the Novelty Principle on Retrieval Evaluation -- 5 Conclusion -- References
From MaxScore to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance -- 1 Introduction -- 2 Setting the Stage -- 3 From MaxScore to Block-Max WAND -- 4 Experimental Evaluation -- 5 Discussion -- 6 Conclusions -- References -- Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants -- 1 Introduction -- 2 BM25 Variants -- 3 Experiments -- 4 Conclusions -- References -- The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study -- 1 Introduction -- 2 Popularity Bias in Music Data
3 Popularity Bias in Music Recommendation -- 4 Conclusion and Future Work -- References -- Reproducibility is a Process, Not an Achievement: The Replicability of IR Reproducibility Experiments -- 1 Introduction -- 2 Replication Study -- 3 Lessons Learned -- 4 Conclusions -- References -- On the Replicability of Combining Word Embeddings and Retrieval Models -- 1 Introduction -- 2 Experimental Setup -- 2.1 Datasets -- 2.2 Models -- 3 Experimental Results -- 3.1 Classification -- 3.2 Clustering -- 3.3 Document Retrieval -- 4 Conclusions -- References
Influence of Random Walk Parametrization on Graph Embeddings -- 1 Introduction -- 2 Related Work -- 3 Additional Random Walk Modifications -- 3.1 Jump Probability -- 3.2 Hub Attention -- 4 Evaluation -- 4.1 Reproduction of Les Misérables Case Study -- 4.2 Node Classification -- 5 Discussion and Conclusion -- References -- Short Papers -- Calling Attention to Passages for Biomedical Question Answering -- 1 Introduction -- 2 System Description -- 2.1 Neural Ranking Model -- 2.2 Passage Extraction Details -- 3 Results and Discussion -- 3.1 Experiments -- 4 Conclusion -- References
Neural Embedding-Based Metrics for Pre-retrieval Query Performance Prediction -- 1 Introduction -- 2 Proposed Approach -- 3 Experiments -- 4 Concluding Remarks -- References -- A Latent Model for Ad Hoc Table Retrieval -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Setup -- 4 Findings -- 5 Concluding Remarks -- References -- Hybrid Semantic Recommender System for Chemical Compounds -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model -- 4 Experiments and Results -- 5 Conclusion -- References -- Assessing the Impact of OCR Errors in Information Retrieval -- 1 Introduction
Summary: This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020. The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named: Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR - general; question answering, prediction, and bias; and deep learning IV. Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials.
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International conference proceedings.

Description based upon print version of record.

Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Reproducibility Papers -- Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments -- 5 Conclusion -- References -- The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines -- 1 Introduction -- 2 Corpus Analysis: Retrieval-Equivalent Documents -- 3 Assessment of Content-Equivalent Documents -- 4 Impact of the Novelty Principle on Retrieval Evaluation -- 5 Conclusion -- References

From MaxScore to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance -- 1 Introduction -- 2 Setting the Stage -- 3 From MaxScore to Block-Max WAND -- 4 Experimental Evaluation -- 5 Discussion -- 6 Conclusions -- References -- Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants -- 1 Introduction -- 2 BM25 Variants -- 3 Experiments -- 4 Conclusions -- References -- The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study -- 1 Introduction -- 2 Popularity Bias in Music Data

3 Popularity Bias in Music Recommendation -- 4 Conclusion and Future Work -- References -- Reproducibility is a Process, Not an Achievement: The Replicability of IR Reproducibility Experiments -- 1 Introduction -- 2 Replication Study -- 3 Lessons Learned -- 4 Conclusions -- References -- On the Replicability of Combining Word Embeddings and Retrieval Models -- 1 Introduction -- 2 Experimental Setup -- 2.1 Datasets -- 2.2 Models -- 3 Experimental Results -- 3.1 Classification -- 3.2 Clustering -- 3.3 Document Retrieval -- 4 Conclusions -- References

Influence of Random Walk Parametrization on Graph Embeddings -- 1 Introduction -- 2 Related Work -- 3 Additional Random Walk Modifications -- 3.1 Jump Probability -- 3.2 Hub Attention -- 4 Evaluation -- 4.1 Reproduction of Les Misérables Case Study -- 4.2 Node Classification -- 5 Discussion and Conclusion -- References -- Short Papers -- Calling Attention to Passages for Biomedical Question Answering -- 1 Introduction -- 2 System Description -- 2.1 Neural Ranking Model -- 2.2 Passage Extraction Details -- 3 Results and Discussion -- 3.1 Experiments -- 4 Conclusion -- References

Neural Embedding-Based Metrics for Pre-retrieval Query Performance Prediction -- 1 Introduction -- 2 Proposed Approach -- 3 Experiments -- 4 Concluding Remarks -- References -- A Latent Model for Ad Hoc Table Retrieval -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Setup -- 4 Findings -- 5 Concluding Remarks -- References -- Hybrid Semantic Recommender System for Chemical Compounds -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model -- 4 Experiments and Results -- 5 Conclusion -- References -- Assessing the Impact of OCR Errors in Information Retrieval -- 1 Introduction

2 Related Work

Includes author index.

This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020. The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named: Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR - general; question answering, prediction, and bias; and deep learning IV. Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials.

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