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Advances in Information Retrieval

42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Joemon M. Jose

    1. University of Glasgow, Glasgow, UK

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  2. Emine Yilmaz

    1. University College London, London, UK

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  3. João Magalhães

    1. Universidade NOVA de Lisboa, Lisbon, Portugal

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  4. Pablo Castells

    1. Universidad Autónoma de Madrid, Madrid, Spain

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  5. Nicola Ferro

    1. University of Padua, Padua, Italy

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  6. Mário J. Silva

    1. Universidade de Lisboa, Lisbon, Portugal

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  7. Flávio Martins

    1. Universidade NOVA de Lisboa, Lisbon, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12035)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: ECIR 2020.

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Table of contents (55 papers)

  1. Front Matter

    Pages i-xlv
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  2. Deep Learning I

    1. Front Matter

      Pages 1-1
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    2. Seed-Guided Deep Document Clustering

      • Mazar Moradi Fard, Thibaut Thonet, Eric Gaussier
      Pages 3-16

    3. Improving Knowledge Graph Embedding Using Locally and Globally Attentive Relation Paths

      • Ningning Jia, Xiang Cheng, Sen Su
      Pages 17-32

    4. ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis

      • Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville
      Pages 33-49

    5. Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration

      • Vishwash Batra, Aparajita Haldar, Yulan He, Hakan Ferhatosmanoglu, George Vogiatzis, Tanaya Guha
      Pages 50-64

    6. A Hierarchical Model for Data-to-Text Generation

      • Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
      Pages 65-80

  3. Entities

    1. Front Matter

      Pages 81-81
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    2. Context-Guided Learning to Rank Entities

      • Makoto P. Kato, Wiradee Imrattanatrai, Takehiro Yamamoto, Hiroaki Ohshima, Katsumi Tanaka
      Pages 83-96

    3. Graph-Embedding Empowered Entity Retrieval

      • Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
      Pages 97-110

    4. Learning Advanced Similarities and Training Features for Toponym Interlinking

      • Giorgos Giannopoulos, Vassilis Kaffes, Georgios Kostoulas
      Pages 111-125

    5. Patch-Based Identification of Lexical Semantic Relations

      • Nesrine Bannour, Gaël Dias, Youssef Chahir, Houssam Akhmouch
      Pages 126-140

    6. Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph

      • Fedor Nikolaev, Alexander Kotov
      Pages 141-155

  4. Evaluation

    1. Front Matter

      Pages 157-157
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    2. Evaluating the Effectiveness of the Standard Insights Extraction Pipeline for Bantu Languages

      • Mathibele Nchabeleng, Joan Byamugisha
      Pages 159-172

  5. Recommendation

    1. Front Matter

      Pages 173-173
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    2. Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective

      • Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis, Pablo Castells
      Pages 175-190

    3. Recommending Music Curators: A Neural Style-Aware Approach

      • Jianling Wang, James Caverlee
      Pages 191-204

    4. Joint Geographical and Temporal Modeling Based on Matrix Factorization for Point-of-Interest Recommendation

      • Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
      Pages 205-219

    5. Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation

      • Tarek Saier, Michael Färber
      Pages 220-233
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Other volumes

  1. Advances in Information Retrieval

  2. Advances in Information Retrieval

Keywords

About this book

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.

*Due to the COVID-19 pandemic, this conference was held virtually.

Editors and Affiliations

  • University of Glasgow, Glasgow, UK

    Joemon M. Jose

  • University College London, London, UK

    Emine Yilmaz

  • Universidade NOVA de Lisboa, Lisbon, Portugal

    João Magalhães, Flávio Martins

  • Universidad Autónoma de Madrid, Madrid, Spain

    Pablo Castells

  • University of Padua, Padua, Italy

    Nicola Ferro

  • Universidade de Lisboa, Lisbon, Portugal

    Mário J. Silva

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