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42nd ECIR 2020: Lisbon, Portugal
- Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12035, Springer 2020, ISBN 978-3-030-45438-8
Deep Learning I
- Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Seed-Guided Deep Document Clustering. 3-16 - Ningning Jia, Xiang Cheng, Sen Su:
Improving Knowledge Graph Embedding Using Locally and Globally Attentive Relation Paths. 17-32 - Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville:
ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis. 33-49 - Vishwash Batra, Aparajita Haldar, Yulan He, Hakan Ferhatosmanoglu, George Vogiatzis, Tanaya Guha:
Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration. 50-64 - Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. 65-80
Entities
- Makoto P. Kato, Wiradee Imrattanatrai, Takehiro Yamamoto, Hiroaki Ohshima, Katsumi Tanaka:
Context-Guided Learning to Rank Entities. 83-96 - Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries:
Graph-Embedding Empowered Entity Retrieval. 97-110 - Giorgos Giannopoulos, Vassilis Kaffes, Georgios Kostoulas:
Learning Advanced Similarities and Training Features for Toponym Interlinking. 111-125 - Nesrine Bannour, Gaël Dias, Youssef Chahir, Houssam Akhmouch:
Patch-Based Identification of Lexical Semantic Relations. 126-140 - Fedor Nikolaev, Alexander Kotov:
Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph. 141-155
Evaluation
- Mathibele Nchabeleng, Joan Byamugisha:
Evaluating the Effectiveness of the Standard Insights Extraction Pipeline for Bantu Languages. 159-172
Recommendation
- Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis, Pablo Castells:
Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective. 175-190 - Jianling Wang, James Caverlee:
Recommending Music Curators: A Neural Style-Aware Approach. 191-204 - Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
Joint Geographical and Temporal Modeling Based on Matrix Factorization for Point-of-Interest Recommendation. 205-219 - Tarek Saier, Michael Färber:
Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation. 220-233 - Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li:
TransRev: Modeling Reviews as Translations from Users to Items. 234-248
Information Extraction
- Arthur Brack, Jennifer D'Souza, Anett Hoppe, Sören Auer, Ralph Ewerth:
Domain-Independent Extraction of Scientific Concepts from Research Articles. 251-266 - Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison:
Leveraging Schema Labels to Enhance Dataset Search. 267-280 - Pavlo Kovalchuk, Diogo Proença, José Borbinha, Rui Henriques:
Moving from Formal Towards Coherent Concept Analysis: Why, When and How. 281-295 - Esteban Andrés Ríssola, Mohammad Aliannejadi, Fabio Crestani:
Beyond Modelling: Understanding Mental Disorders in Online Social Media. 296-310
Deep Learning II
- Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann:
Learning Based Methods for Code Runtime Complexity Prediction. 313-325 - Robin Brochier, Adrien Guille, Julien Velcin:
Inductive Document Network Embedding with Topic-Word Attention. 326-340 - Hamza Abbad, Shengwu Xiong:
Multi-components System for Automatic Arabic Diacritization. 341-355 - Ning Chang, Jiang Zhong, Qing Li, Jiang Zhu:
A Mixed Semantic Features Model for Chinese NER with Characters and Words. 356-368 - Zhibin Lu, Pan Du, Jian-Yun Nie:
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification. 369-382
Retrieval
- Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark:
A Computational Approach for Objectively Derived Systematic Review Search Strategies. 385-398 - Harrisen Scells, Guido Zuccon, Bevan Koopman:
You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews. 399-414 - Shengyao Zhuang, Guido Zuccon:
Counterfactual Online Learning to Rank. 415-430 - Lorik Dumani, Patrick J. Neumann, Ralf Schenkel:
A Framework for Argument Retrieval - Ranking Argument Clusters by Frequency and Specificity. 431-445 - Ali Montazeralghaem, Razieh Rahimi, James Allan:
Relevance Ranking Based on Query-Aware Context Analysis. 446-460
Multimedia
- Omar Adjali, Romaric Besançon, Olivier Ferret, Hervé Le Borgne, Brigitte Grau:
Multimodal Entity Linking for Tweets. 463-478 - Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah, Rajesh Kumar Yadav, Dinesh Kumar Vishwakarma:
MEMIS: Multimodal Emergency Management Information System. 479-494 - Omar Shahbaz Khan, Björn Þór Jónsson, Stevan Rudinac, Jan Zahálka, Hanna Ragnarsdóttir, Þórhildur Þorleiksdóttir, Gylfi Þór Guðmundsson, Laurent Amsaleg, Marcel Worring:
Interactive Learning for Multimedia at Large. 495-510 - Noura Bouhlel, Ghada Feki, Chokri Ben Amar:
Visual Re-Ranking via Adaptive Collaborative Hypergraph Learning for Image Retrieval. 511-526 - Jan Sedmidubský, Petra Budíková, Vlastislav Dohnal, Pavel Zezula:
Motion Words: A Text-Like Representation of 3D Skeleton Sequences. 527-541
Deep Learning III
- Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan:
Reinforced Rewards Framework for Text Style Transfer. 545-560 - Dmitri Roussinov, Serge Sharoff, Nadezhda Puchnina:
Recognizing Semantic Relations: Attention-Based Transformers vs. Recurrent Models. 561-574 - Lin Tian, Xiuzhen Zhang, Yan Wang, Huan Liu:
Early Detection of Rumours on Twitter via Stance Transfer Learning. 575-588 - Thibault Formal, Stéphane Clinchant, Jean-Michel Renders, Sooyeol Lee, Geun-Hee Cho:
Learning to Rank Images with Cross-Modal Graph Convolutions. 589-604 - Arthur Câmara, Claudia Hauff:
Diagnosing BERT with Retrieval Heuristics. 605-618
Queries
- Unni Krishnan, Alistair Moffat, Justin Zobel, Bodo Billerbeck:
Generation of Synthetic Query Auto Completion Logs. 621-635 - Lynda Tamine, Jesús Lovón-Melgarejo, Karen Pinel-Sauvagnat:
What Can Task Teach Us About Query Reformulations? 636-650 - Subhadeep Maji, Priyank Patel, Bharat Thakarar, Mohit Kumar, Krishna Azad Tripathi:
A Regularised Intent Model for Discovering Multiple Intents in E-Commerce Tail Queries. 651-665 - Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz:
Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion. 666-680 - Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma, Prakhar Gupta:
Using Image Captions and Multitask Learning for Recommending Query Reformulations. 681-696
IR - General
- Gustavo Penha, Claudia Hauff:
Curriculum Learning Strategies for IR. 699-713 - Wei Zhong, Shaurya Rohatgi, Jian Wu, C. Lee Giles, Richard Zanibbi:
Accelerating Substructure Similarity Search for Formula Retrieval. 714-727 - Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci:
Quantum-Like Structure in Multidimensional Relevance Judgements. 728-742
Question Answering, Prediction, and Bias
- Hossein Fani, Ebrahim Bagheri, Weichang Du:
Temporal Latent Space Modeling for Community Prediction. 745-759 - Hans Friedrich Witschel, Kaspar Riesen, Loris Grether:
KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources. 760-773 - Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa:
Answering Event-Related Questions over Long-Term News Article Archives. 774-789 - Panagiotis Papadakos, Giannis Konstantakis:
bias goggles: Graph-Based Computation of the Bias of Web Domains Through the Eyes of Users. 790-804
Deep Learning IV
- Anastasiia Doinychko, Massih-Reza Amini:
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. 807-820 - Ujjwal Sharma, Stevan Rudinac, Marcel Worring, Joris Demmers, Willemijn van Dolen:
Semantic Path-Based Learning for Review Volume Prediction. 821-835 - Xianshan Qu, Xiaopeng Li, Csilla Farkas, John R. Rose:
An Attention Model of Customer Expectation to Improve Review Helpfulness Prediction. 836-851
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