{"id":774,"date":"2020-02-07T12:18:51","date_gmt":"2020-02-07T12:18:51","guid":{"rendered":"https:\/\/ecir2020.org\/?page_id=774"},"modified":"2020-04-18T13:24:09","modified_gmt":"2020-04-18T13:24:09","slug":"program","status":"publish","type":"page","link":"https:\/\/ecir2020.org\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\n

Full Schedule<\/strong> (click to enlarge)<\/h2>\n\n\n\n
\"\"<\/a><\/figure>\n\n\n\n

All events shown in time zone: Western European Time – Lisbon<\/p>

Public URL to this calendar<\/a><\/p><\/blockquote>\n\n\n\n


\n\n\n\n

Day 0 | Tuesday, 14 April 2020<\/em>
…<\/span><\/h1>\n\n\n\n

Keynote Joana de S\u00e1<\/a><\/strong><\/h2>\n\n\n\n

Tuesday, 14 April 2020 14:00<\/em>
Zoom <\/em>A<\/s><\/strong><\/span><\/a><\/p>

YouTube<\/span><\/a><\/strong><\/p><\/blockquote>\n\n\n\n

Focusing the macroscope: how we can use data to understand behavior<\/strong>
Joana Gon\u00e7alves de S\u00e1<\/p>\n\n\n\n

Tutorials<\/a><\/strong><\/h2>\n\n\n\n

Tuesday, 14 April 2020<\/em><\/p><\/blockquote>\n\n\n\n

The Role of Entity Repositories in Information Retrieval<\/strong>
Marius Pasca<\/p>\n\n\n\n

Principle-to-program: neural methods for similar question retrieval in online communities.
<\/strong>Muthusamy Chelliah, Manish Shrivastava and Jaidam Ramtej<\/p>\n\n\n\n

Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval
<\/strong>Jochen L. Leidner, Bruno Martins, Katherine McDonough and Ross S. Purves<\/p>\n\n\n\n

Workshops<\/a><\/strong><\/h2>\n\n\n\n

Tuesday, 14 April 2020<\/em><\/p><\/blockquote>\n\n\n\n

The 3rd International Workshop on Narrative Extraction from Texts (Text2Story\u201920)<\/strong>
Ricardo Campos, Alipio M. Jorge, Adam Jatowt and Sumit Bhatia<\/p>\n\n\n\n

Bibliometric-enhanced Information Retrieval: 10th International BIR Workshop<\/strong>
Guillaume Cabanac, Ingo Frommholz and Philipp Mayr<\/p>\n\n\n\n

International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2020)<\/strong>
Ludovico Boratto, Mirko Marras, Stefano Faralli and Giovanni Stilo<\/p>\n\n\n\n

Semantic Indexing and Information Retrieval for Health from heterogeneous content types and languages<\/strong>
Francisco Couto and Martin Krallinger<\/p>\n\n\n\n

Doctoral Consortium<\/a><\/strong><\/h2>\n\n\n\n

Tuesday, 14 April 2020<\/em><\/p><\/blockquote>\n\n\n\n

Bibliometric-Enhanced Legal Information Retrieval.<\/a><\/strong>
Gineke Wiggers<\/p>\n\n\n\n

Graph databases for Information Retrieval.<\/a><\/strong>
Chris Kamphuis<\/p>\n\n\n\n

Graph-Based Entity-Oriented Search: A Unified Framework in Information Retrieval.<\/a><\/strong>
Jos\u00e9 Devezas<\/p>\n\n\n\n

Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon.<\/a><\/strong>
Shamsuddeen Muhamamd<\/p>\n\n\n\n

Reproducible Online Search Experiments.<\/a><\/strong>
Timo Breuer<\/p>\n\n\n\n

Time-Critical Geolocation for Social Good.<\/a><\/strong>
Reem Suwaileh<\/p>\n\n\n\n

Towards a better Contextualization of Web contents via Entity-level analytics.<\/a><\/strong>
Amit Kumar<\/p>\n\n\n\n


\n\n\n\n

Day 1 | Wednesday, 15 April 2020<\/em>
…<\/span><\/h1>\n\n\n\n

Opening Session<\/strong><\/h2>\n\n\n\n

Wednesday, 15 April 2020 9:00
Zoom A<\/s><\/span><\/strong><\/a><\/p>

YouTube<\/span><\/a><\/strong><\/p><\/blockquote>\n\n\n\n

Session A1: Retrieval<\/strong><\/h2>\n\n\n\n

Wednesday, 15 April 2020 9:20
Zoom A<\/s><\/span><\/strong><\/a><\/p>

YouTube<\/span><\/a><\/strong><\/p>Chair: Grace Hui Yang<\/cite><\/blockquote>\n\n\n\n

A Computational Approach for Objectively Derived Systematic Review Search Strategies<\/a>.<\/strong>
Harrisen Scells, Guido Zuccon, Bevan Koopman and Justin Clark<\/p>\n\n\n\n

You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews.<\/a><\/strong>
Harrisen Scells, Guido Zuccon and Bevan Koopman<\/p>\n\n\n\n

Counterfactual Online Learning to Rank.<\/a><\/strong>
Shengyao Zhuang and Guido Zuccon<\/p>\n\n\n\n

A Framework for Argument Retrieval: Ranking Argument Clusters by Frequency and Specificity.<\/a><\/strong>
Lorik Dumani, Patrick J. Neumann and Ralf Schenkel<\/p>\n\n\n\n

Quantum-like Structure in Multidimensional Relevance Judgements.<\/a><\/strong>
Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza and Massimo Melucci<\/p>\n\n\n\n

Session B1: Entities<\/strong><\/h2>\n\n\n\n

Wednesday<\/em>, 15 April 2020 9:20<\/em><\/em>
Zoom <\/em><\/em>B<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/strong><\/p>Chair: Tat-Seng Chua<\/cite><\/blockquote>\n\n\n\n

Context-guided Learning to Rank Entities.<\/a><\/strong>
Makoto P. Kato, Wiradee Imrattanatrai, Takehiro Yamamoto, Hiroaki Ohshima and Katsumi Tanaka<\/p>\n\n\n\n

Graph-Embedding Empowered Entity Retrieval.<\/a><\/strong>
Emma Gerritse, Faegheh Hasibi and Arjen de Vries<\/p>\n\n\n\n

Learning Advanced Similarities and Training Features for Toponym Interlinking.<\/a><\/strong>
Giorgos Giannopoulos, Vassilis Kaffes and Georgios Kostoulas<\/p>\n\n\n\n

Patch-based Identification of Lexical Semantic Relations.<\/a><\/strong>
Nesrine Bannour, Ga\u00ebl Dias, Chahir Youssef and Houssam Akhmouch<\/p>\n\n\n\n

Session A2: Deep Learning III<\/strong><\/h2>\n\n\n\n

Wednesday<\/em>, 15 April 2020 11:20<\/em>
Zoom A<\/span><\/strong><\/a><\/em><\/s><\/p>

YouTube<\/span><\/a><\/strong><\/p>Chair: David E. Losada<\/cite><\/blockquote>\n\n\n\n

Recognizing Semantic Relations: Attention-Based Transformers vs. Recurrent Models.<\/a><\/strong>
Dmitri Roussinov, Serge Sharoff and Nadezhda Puchnina<\/s><\/p>\n\n\n\n

Early detection of rumours on Twitter via stance transfer learning.<\/a><\/strong>
Lin Tian, Xiuzhen Zhang, Yan Wang and Huan Liu<\/p>\n\n\n\n

Learning to Rank Images with Cross-Modal Graph Convolutions.<\/a><\/strong>
Thibault Formal, St\u00e9phane Clinchant, Jean Michel Renders, Sooyeol Lee and Geun Hee Cho<\/p>\n\n\n\n

Diagnosing BERT with Retrieval Heuristics.<\/a><\/strong>
Arthur C\u00e2mara and Claudia Hauff<\/p>\n\n\n\n

Semantic Path-Based Learning for Review Volume Prediction.<\/a><\/strong>
Ujjwal Sharma, Stevan Rudinac, Marcel Worring, Joris Demmers and Willemijn van Dolen<\/p>\n\n\n\n

Session B2: Multimedia<\/strong><\/h2>\n\n\n\n

Wednesday<\/em>, 15 April 2020 11:20<\/em>
Zoom <\/em>B<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/strong><\/p>Chair: Gareth Jones<\/cite><\/blockquote>\n\n\n\n

Multimodal Entity Linking for Tweets.<\/a><\/strong>
Omar Adjali, Romaric Besancon, Olivier Ferret, Herve Le Borgne and Brigitte Grau<\/p>\n\n\n\n

MEMIS: Multimodal Emergency Management Information System.<\/a><\/strong>
Mansi Agarwal, Maitree Leekha, Ramit Sawhney and Rajiv Ratn Shah<\/p>\n\n\n\n

Interactive Learning for Multimedia at Large.<\/a><\/strong>
Omar Shahbaz Khan, Bj\u00f6rn \u00de\u00f3r J\u00f3nsson, Stevan Rudinac, Jan Zah\u00e1lka, Hanna Ragnarsd\u00f3ttir, \u00de\u00f3rhildur \u00deorleiksd\u00f3ttir, Gylfi \u00de\u00f3r Gu\u00f0mundsson, Laurent Amsaleg and Marcel Worring<\/p>\n\n\n\n

Visual Re-ranking via Adaptive Collaborative Hypergraph Learning for Image Retrieval.<\/a><\/strong>
Noura Bouhlel, Ghada Feki and Chokri Ben Amar<\/p>\n\n\n\n

Motion Words: A Text-like Representation of 3D Skeleton Sequences.<\/a><\/strong>
Jan Sedmidubsky, Petra Budikova, Vlastislav Dohnal and Pavel Zezula<\/p>\n\n\n\n

Session A3: Deep Learning II<\/strong><\/h2>\n\n\n\n

Wednesday<\/em>, 15 April 2020 14:00<\/em>
Zoom A<\/span><\/strong><\/a><\/em><\/s><\/p>

YouTube<\/span><\/a><\/strong><\/em><\/p>Chair: Stefan Rueger<\/cite><\/blockquote>\n\n\n\n

Learning based Methods for Code Runtime Complexity Prediction.<\/a><\/strong>
Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah and Roger Zimmermann<\/p>\n\n\n\n

Inductive Document Network Embedding with Topic-Word Attention.<\/a><\/strong>
Robin Brochier, Adrien Guille and Julien Velcin<\/p>\n\n\n\n

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification.<\/a><\/strong>
Zhibin Lu, Pan Du and Jian-Yun Nie<\/p>\n\n\n\n

ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis.<\/a><\/strong>
Changping Meng, Muhao Chen and Jie Mao<\/p>\n\n\n\n

Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration.<\/a><\/strong>
Vishwash Batra, Aparajita Haldar, Yulan He, Hakan Ferhatosmanoglu, George Vogiatzis and Tanaya Guha<\/p>\n\n\n\n

Session B3: Recommendation<\/strong><\/h2>\n\n\n\n

Wednesday<\/em>, 15 April 2020 14:00<\/em>
Zoom <\/em>B<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/strong><\/p>Chair: Iadh Ounis<\/cite><\/blockquote>\n\n\n\n

Axiomatic Analysis of Contact Recommendation Methods in Social Networks: an IR perspective.<\/a><\/strong>
Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis and Pablo Castells<\/p>\n\n\n\n

Recommending Music Curators: A Neural Style-Aware Approach.<\/a><\/strong>
Jianling Wang and James Caverlee<\/p>\n\n\n\n

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation.<\/a><\/strong>
Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi and Fabio Crestani<\/p>\n\n\n\n

Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation.<\/a><\/strong>
Tarek Saier and Michael F\u00e4rber<\/p>\n\n\n\n

TransRev: Modeling Reviews as Translations from Users to Items.<\/a><\/strong>
Alberto Garcia-Duran, Roberto Gonzalez, Daniel O\u00f1oro-Rubio, Mathias Niepert and Hui Li<\/p>\n\n\n\n

Keynote Chirag Shah – KSJ Award<\/a><\/strong><\/h2>\n\n\n\n

Wednesday, 15 April 2020 16:00<\/em>
Zoom <\/em>A<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p><\/blockquote>\n\n\n\n

Task-Based Intelligent Retrieval and Recommendation<\/strong>
(Karen Sp\u00e4rck Jones Award Keynote)
<\/strong>Chirag Shah<\/p>\n\n\n\n


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Day 2 | Thursday, 16 April 2020<\/em><\/em>
…<\/span><\/h1>\n\n\n\n

Session A4: Deep Learning I<\/strong><\/h2>\n\n\n\n

Thursday, 16 April 2020 9:20<\/em>
Zoom A<\/span><\/strong><\/a><\/em><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Benjamin Piwowarski<\/cite><\/blockquote>\n\n\n\n

Seed-guided Deep Document Clustering.<\/a><\/strong>
Maziar Moradi Fard, Thibaut Thonet and Eric Gaussier<\/p>\n\n\n\n

Improving Knowledge Graph Embedding using Locally and Globally Attentive Relation Paths.<\/a><\/strong>
Ningning Jia, Xiang Cheng and Sen Su<\/p>\n\n\n\n

A Hierarchical Model for Data-to-Text Generation.<\/a><\/strong>
Cl\u00e9ment Rebuffel, Laure Soulier, Geoffrey Scoutheeten and Patrick Gallinari<\/p>\n\n\n\n

Multi-components system for automatic Arabic diacritization.<\/a><\/strong>
Hamza Abbad and Shengwu Xiong<\/p>\n\n\n\n

A Mixed Semantic Features Model for Chinese NER with Characters and Words.<\/a><\/strong>
Ning Chang, Jiang Zhong and Qing Li<\/p>\n\n\n\n

Session B4: Evaluation<\/strong><\/h2>\n\n\n\n

Thursday<\/em>, 16 April 2020 9:20<\/em>
Zoom <\/em>B<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Diane Kelly<\/cite><\/blockquote>\n\n\n\n

IRJ<\/span><\/strong> Evaluation measures for quantification: an axiomatic approach<\/a><\/strong>
Fabrizio Sebastiani<\/p>\n\n\n\n

IRJ<\/span><\/strong> How do interval scales help us with better understanding IR evaluation measures?<\/a><\/strong>
Marco Ferrante, Nicola Ferro and Eleonora Losiouk<\/p>\n\n\n\n

IRJ<\/span><\/strong> A comparison of filtering evaluation metrics based on formal constraints<\/a><\/strong>
Enrique Amig\u00f3, Julio Gonzalo, Felisa Verdejo and Damiano Spina<\/p>\n\n\n\n

IRJ<\/span><\/strong> On the impact of group size on collaborative search effectiveness<\/a><\/strong>
Felipe Moraes, Kilian Grashoff and Claudia Hauff<\/p>\n\n\n\n

Evaluating the Effectiveness of the Standard Insights Extraction Pipeline for Bantu Languages.<\/a><\/strong>
Mathibele Nchabeleng and Joan Byamugisha<\/p>\n\n\n\n

Session A5: CLEF<\/strong><\/h2>\n\n\n\n

Thursday<\/em>, 16 April 2020 11:20<\/em>
Zoom A<\/span><\/strong><\/a><\/em><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Nicola Ferro<\/cite><\/blockquote>\n\n\n\n

BioASQ: Large-scale biomedical semantic indexing and question answering.<\/a><\/strong>
Martin Krallinger, Anastasia Krithara, Anastasios Nentidis, Georgios Paliouras and Marta Villegas<\/p>\n\n\n\n

CLEF eHealth Evaluation Lab 2020.<\/a><\/strong>
Hanna Suominen, Liadh Kelly, Lorraine Goeuriot and Martin Krallinger<\/p>\n\n\n\n

ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents.<\/a><\/strong>
Dat Quoc Nguyen, Zenan Zhai, Hiyori Yoshikawa, Biaoyan Fang, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Saber A. Akhondi, Trevor Cohn, Timothy Baldwin and Karin Verspoor<\/p>\n\n\n\n

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims on Social Media.<\/a><\/strong>
Alberto Barr\u00f3n-Cede\u00f1o, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh and Fatima Haouari<\/p>\n\n\n\n

Finding Old Answers to New Math Questions: The ARQMath Lab at CLEF 2020.<\/a><\/strong>
Behrooz Mansouri, Anurag Agarwal, Douglas Oard and Richard Zanibbi<\/p>\n\n\n\n

ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications.<\/a><\/strong>
Bogdan Ionescu, Henning M\u00fcller, Renaud Peteri, Duc-Tien Dang-Nguyen, Liting Zhou, Luca Piras, Michael Riegler, P\u00e5l Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Jon Chamberlain, Adrian Clark, Antonio Campello, Alba G. Seco de Herrera, Asma Ben Abacha, Vivek Datla, Sadid A. Hasan, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Yashin Dicente Cid, Serge Kozlovski, Vitali Liauchuk, Vassili Kovalev, Raul Berari, Paul Brie, Dimitri Fichou, Mihai Dogariu, Liviu Daniel Stefan and Mihai Gabriel Constantin<\/p>\n\n\n\n

Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers.<\/a><\/strong>
Maud Ehrmann, Matteo Romanello, Stefan Bircher and Simon Clematide<\/p>\n\n\n\n

LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges.<\/a><\/strong>
Alexis Joly, Herv\u00e9 Go\u00ebau, Stefan Kahl, Christophe Botella, Rafael Ruiz De Castaneda, Herv\u00e9 Glotin, Elijah Cole, Julien Champ, Benjamin Deneu, Maximilien Servajean, Titouan Lorieul, Willem-Pier Vellinga, Fabian-Robert St\u00f6ter, Andrew Durso, Pierre Bonnet and Henning M\u00fcller<\/p>\n\n\n\n

Living Labs for Academic Search at CLEF 2020.<\/a><\/strong>
Philipp Schaer, Johann Schaible and Bernd M\u00fcller<\/p>\n\n\n\n

Shared Tasks on Authorship Analysis at PAN 2020.<\/a><\/strong>
Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco Manuel Rangel Pardo, Paolo Rosso, G\u00fcnther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann and Eva Zangerle<\/p>\n\n\n\n

Touch\u00e9: First Shared Task on Argument Retrieval.<\/a><\/strong>
Alexander Bondarenko, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko and Benno Stein<\/p>\n\n\n\n

eRisk 2020: self-harm and depression challenges.<\/a><\/strong>
David E. Losada, Fabio Crestani and Javier Parapar<\/p>\n\n\n\n

Session B5: Reproducibility<\/strong><\/h2>\n\n\n\n

Thursday<\/em>, 16 April 2020 11:20<\/em>
Zoom <\/em>B<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Pavel Calado<\/cite><\/blockquote>\n\n\n\n

From MaxScore to Block-Max WAND: The Story of How Lucene Significantly Improved Query Evaluation Performance.<\/a><\/strong>
Adrien Grand, Robert Muir, Jim Ferenczi and Jimmy Lin<\/p>\n\n\n\n

Influence of Random Walk Parametrization on Graph Embeddings.<\/a><\/strong>
Fabian Schliski, J\u00f6rg Schl\u00f6tterer and Michael Granitzer<\/p>\n\n\n\n

Knowledge Graph Entity Alignment with Graph Neural Networks: Lessons Learned.<\/a><\/strong>
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp and Thomas Seidl<\/p>\n\n\n\n

On the Replicability of Combining Word Embeddings and Retrieval Models.<\/a><\/strong>
Luca Papariello, Alexandros Bampoulidis and Mihai Lupu<\/p>\n\n\n\n

Reproducibility is a Process, not an Achievement: The Replicability of IR Reproducibility Experiments.<\/a><\/strong>
Jimmy Lin and Qian Zhang<\/p>\n\n\n\n

The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines.<\/a><\/strong>
Maik Fr\u00f6be, Jan Philipp Bittner, Martin Potthast and Matthias Hagen<\/p>\n\n\n\n

The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study.<\/a><\/strong>
Dominik Kowald, Markus Schedl and Elisabeth Lex<\/p>\n\n\n\n

Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants.<\/a><\/strong>
Chris Kamphuis, Arjen de Vries, Leonid Boytsov and Jimmy Lin<\/p>\n\n\n\n

Keynote Jamie Callan<\/a><\/strong><\/h2>\n\n\n\n

Thursday, 16 April 2020 14:00<\/em>
Zoom <\/em>A<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p><\/blockquote>\n\n\n\n

Better Representations for Search Tasks<\/strong>
Jamie Callan<\/p>\n\n\n\n

Awards<\/strong><\/h2>\n\n\n\n

Thursday, 16 April 2020 15:00<\/em>
Zoom <\/em>A<\/s><\/span><\/strong><\/a><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p><\/blockquote>\n\n\n\n

Session A6: Information extraction<\/strong><\/h2>\n\n\n\n

Thursday<\/em>, 16 April 2020 15:4<\/em>0
Zoom A<\/span><\/strong><\/a><\/em><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Gabriella Pasi<\/cite><\/blockquote>\n\n\n\n

Domain-independent Extraction of Scientific Concepts from Research Articles.<\/a><\/strong>
Arthur Brack, Jennifer D\u2019Souza, Anett Hoppe, S\u00f6ren Auer and Ralph Ewerth<\/p>\n\n\n\n

Leveraging Schema Labels to Enhance Dataset Search.<\/a><\/strong>
Zhiyu Chen, Haiyan Jia, Jeff Heflin and Brian Davison<\/p>\n\n\n\n

IRJ<\/span><\/strong> Overcoming low-utility facets for complex answer retrieval<\/a><\/strong>
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian and Ophir Frieder<\/p>\n\n\n\n

Moving from formal towards coherent concept analysis: why, when and how.<\/a><\/strong>
Pavlo Kovalchuk, Diogo Proen\u00e7a, Jos\u00e9 Borbinha and Rui Henriques<\/p>\n\n\n\n

Beyond Modelling: Understanding Mental Disorders in Online Social Media.<\/a><\/strong>
Esteban Andr\u00e9s R\u00edssola, Mohammad Aliannejadi and Fabio Crestani<\/p>\n\n\n\n

Session B6: IR – General<\/strong><\/h2>\n\n\n\n

Thursday<\/em>, 16 April 2020 15:4<\/em>0
Zoom <\/em>B<\/s><\/span><\/strong><\/a><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Yashar Moshfeghi<\/cite><\/blockquote>\n\n\n\n

IRJ<\/span><\/strong> The impact of result diversification on search behaviour and performance<\/a><\/strong>
David Maxwell, Leif Azzopardi and Yashar Moshfeghi<\/p>\n\n\n\n

Accelerating Substructure Similarity Search for Formula Retrieval.<\/a><\/strong>
Wei Zhong, Shaurya Rohatgi, Jian Wu, C. Lee Giles and Richard Zanibbi<\/p>\n\n\n\n

Relevance Ranking based on Query-Aware Context Analysis.<\/a><\/strong>
Ali Montazeralghaem, Razieh Rahimi and James Allan<\/p>\n\n\n\n

Temporal Latent Space Modeling for Community Prediction.<\/a><\/strong>
Hossein Fani, Ebrahim Bagheri and Weichang Du<\/p>\n\n\n\n

IRJ<\/span><\/strong> Fewer topics? A million topics? Both?! On topics subsets in test collections<\/a><\/strong>
Kevin Roitero, J. Shane Culpepper, Mark Sanderson, Falk Scholer and Stefano Mizzaro<\/p>\n\n\n\n

Joint Word and Entity Embeddings for Entity Retrieval from Knowledge Graph.<\/a><\/strong>
Fedor Nikolaev and Alexander Kotov<\/p>\n\n\n\n


\n\n\n\n

Day 3 | Friday, 17 April 2020<\/em><\/em>
…<\/span><\/h1>\n\n\n\n

Session A7: Question Answering\/Prediction\/Bias<\/strong><\/h2>\n\n\n\n

Friday, 17 April 2020 9:20<\/em>
<\/a>Zoom A<\/s><\/span><\/strong><\/a><\/em><\/em><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Norbert Fuhr<\/cite><\/blockquote>\n\n\n\n

KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources.<\/a><\/strong>
Hans Friedrich Witschel, Kaspar Riesen and Loris Grether<\/p>\n\n\n\n

IRJ<\/span><\/strong> Payoffs and pitfalls in using knowledge-bases for consumer health search<\/a>
<\/strong>Jimmy, Guido Zuccon and Bevan Koopman<\/p>\n\n\n\n

Answering Event-Related Questions over Long-term News Article Archives.<\/a><\/strong>
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa and Michael F\u00e4rber<\/p>\n\n\n\n

bias goggles \u2013 Graph-based Computation of the Bias of Web Domains through the Eyes of Users.<\/a><\/strong>
Panagiotis Papadakos and Giannis Konstantakis<\/p>\n\n\n\n

REPEAT: <\/span>Improving Knowledge Graph Embedding using Locally and Globally Attentive Relation Paths.<\/a><\/strong>
Ningning Jia, Xiang Cheng and Sen Su<\/p>\n\n\n\n

REPEAT:<\/span> Temporal Latent Space Modeling for Community Prediction.<\/a><\/strong>
Hossein Fani, Ebrahim Bagheri and Weichang Du<\/p>\n\n\n\n

Session A8: Queries<\/strong><\/h2>\n\n\n\n

Friday, 17 April 2020 11:20<\/em>
Zoom <\/em>A<\/s><\/span><\/strong><\/a><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Morgan Harvey<\/cite><\/blockquote>\n\n\n\n

Generation of Synthetic Query Auto Completion Logs.<\/a><\/strong>
Unni Krishnan, Alistair Moffat, Justin Zobel and Bodo Billerbeck<\/p>\n\n\n\n

What Can Task Teach Us About Query Reformulations?.<\/a><\/strong>
Lynda Tamine, Jesus Lovon Melgarejo and Karen Pinel-Sauvagnat<\/p>\n\n\n\n

Regularised Intent Model for Discovering Multiple Intents in E-Commerce Tail Queries.<\/a><\/strong>
Subhadeep Maji, Bharat Thakarar, Priyank Patel, Mohit Kumar and Krishna Azad Tripathi<\/p>\n\n\n\n

Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion.<\/a><\/strong>
Amit Kumar Jaiswal, Haiming Liu and Ingo Frommholz<\/p>\n\n\n\n

Using Image Captions and Multitask Learning for Recommending Query Reformulations.<\/a><\/strong>
Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma and Prakhar Gupta<\/p>\n\n\n\n

Conversational Search Panel<\/strong> <\/h2>\n\n\n\n

Friday, 17 April 2020 14:00<\/em>
Zoom <\/em>A<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Moderator: Maarten de Rijke (University of Amsterdam & Ahold Delhaize)<\/em><\/cite><\/blockquote>\n\n\n\n

Panel members<\/strong><\/h4>\n\n\n\n

Tat Seng CHUA (National University of Singapore)
Hugo Zaragoza (Amazon)
Chenyan Xiong (Microsoft)
Ricardo G. Sousa (Farfetch)
Julia Kiseleva (Microsoft)<\/p>\n\n\n\n

Session A9: Deep Learning IV<\/strong><\/h2>\n\n\n\n

Friday, 17 April 2020 15:20<\/em>
Zoom <\/em>A<\/span><\/strong><\/a><\/s><\/p>

YouTube<\/span><\/a><\/em><\/strong><\/p>Chair: Craig Macdonald<\/cite><\/blockquote>\n\n\n\n

Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views.<\/a><\/strong>
Anastasiia Doinychko and Massih-Reza Amini<\/p>\n\n\n\n

An Attention Model of Customer Expectation to Improve Review Helpfulness Prediction.<\/a><\/strong>
Xianshan Qu, Xiaopeng Li, Csilla Farkas and John Rose<\/p>\n\n\n\n

IRJ<\/span><\/strong> Neural architecture for question answering using a knowledge graph and web corpus<\/a><\/strong>
Uma Sawant, Saurabh Garg, Soumen Chakrabarti and Ganesh Ramakrishnan<\/p>\n\n\n\n

Reinforced Rewards Framework for Text Style Transfer.<\/a><\/strong>
Abhilasha Sancheti, Kundan Krishna, Anandhavelu N and Balaji Vasan Srinivasan<\/p>\n\n\n\n

Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking.<\/a><\/strong>
Gustavo Penha and Claudia Hauff<\/p>\n\n\n\n

Closing Session<\/strong><\/h2>\n\n\n\n

Wednesday, 17 April 2020 17:00
Zoom A<\/s><\/span><\/strong><\/a><\/p>

YouTube<\/span><\/a><\/strong><\/p><\/blockquote>\n\n\n\n


\n\n\n\n

Days 1-3 | 14-17 April 2020<\/em>
…<\/span><\/h1>\n\n\n\n

Short Papers<\/strong><\/h2>\n\n\n\n

News<\/h3>\n\n\n\n

Wednesday morning + Thursday afternoon
Zoom <\/em>C<\/s><\/span><\/a><\/strong>

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

Easing Legal News Monitoring with Learning to Rank and BERT.<\/a><\/strong>
Luis Sanchez Izquierdo, Jiyin He, Jarana Manotumruksa, Dyaa Albakour, Miguel Martinez-Alvarez and Aldo Lipani<\/p>\n\n\n\n

Identifying Notable News Stories.<\/a><\/strong>
Antonia Saravanou, Giorgio Stefanoni and Edgar Meij<\/p>\n\n\n\n

Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers.<\/a><\/strong>
Soichiro Fujita, Hayato Kobayashi and Manabu Okumura<\/p>\n\n\n\n

Facts, Irony and Sentiment<\/h3>\n\n\n\n

Wednesday morning + Thursday afternoon<\/em>
Zoom <\/em>C<\/s><\/span><\/a><\/strong><\/p>\n\n\n\n

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias.<\/a><\/strong>
David La Barbera, Kevin Roitero, Damiano Spina, Stefano Mizzaro and Gianluca Demartini<\/p>\n\n\n\n

BERT for Evidence Retrieval and Claim Verification.<\/a><\/strong>
Amir Soleimani, Christof Monz and Marcel Worring<\/p>\n\n\n\n

Irony Detection in a Multilingual Context.<\/a><\/strong>
Bilal Ghanem, Jihen Karoui, Farah Benamara, Paolo Rosso and V\u00e9ronique Moriceau<\/p>\n\n\n\n

SentiInc : Incorporating Sentiment Information into Sentiment Transfer without Parallel Data.<\/a><\/strong>
Kartikey Pant, Yash Verma and Radhika Mamidi<\/p>\n\n\n\n

Question\/Answering<\/h3>\n\n\n\n

Wednesday morning + Thursday afternoon<\/em>
Zoom <\/em>C<\/s><\/span><\/a><\/strong><\/p>\n\n\n\n

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

ANTIQUE: A Non-Factoid Question Answering Benchmark.<\/a><\/strong>
Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani and Bruce Croft<\/p>\n\n\n\n

Distant Supervision for Extractive Question Summarization.<\/a><\/strong>
Tatsuya Ishigaki, Kazuya Machida, Hayato Kobayashi, Hiroya Takamura and Manabu Okumura<\/p>\n\n\n\n

Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions.<\/a><\/strong>
Asia J. Biega, Jana Schmidt and Rishiraj Saha Roy<\/p>\n\n\n\n

Semi-Supervised Extractive Question Summarization Using Question-Answer Pairs.<\/a><\/strong>
Kazuya Machida, Tatsuya Ishigaki, Hayato Kobayashi, Hiroya Takamura and Manabu Okumura<\/p>\n\n\n\n

Embeddings<\/h3>\n\n\n\n

Wednesday morning + Thursday afternoon<\/em>
Zoom <\/em>C<\/s><\/span><\/a><\/strong><\/p>\n\n\n\n

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

Document Network Projection in Pretrained Word Embedding Space.<\/a><\/strong>
Antoine Gourru, Julien Velcin, Julien Jacques and Adrien Guille<\/p>\n\n\n\n

Neural Embedding-based Metrics for Pre-Retrieval Query Performance Prediction.<\/a><\/strong>
Negar Arabzadeh, Fattane Zarrinkalam, Jelena Jovanovic and Ebrahim Bagheri<\/p>\n\n\n\n

Generating query suggestions for cross-language and cross-terminology health information retrieval.<\/a><\/strong>
Paulo Santos and Carla Teixeira Lopes<\/p>\n\n\n\n

Dynamic Heterogeneous Graph Embedding using Hierarchical Attentions.<\/a><\/strong>
Luwei Yang, Zhibo Xiao, Wen Jiang, Yi Wei, Yi Hu and Hao Wang<\/p>\n\n\n\n

Machine-actionable data management plans: A knowledge retrieval approach to automate the assessment of funders\u2019 requirements.<\/a><\/strong>
Jo\u00e3o Cardoso, Diogo Proen\u00e7a and Jos\u00e9 Borbinha<\/p>\n\n\n\n

Keyphrase Extraction as Sequence Labeling using Contextualized Embeddings.<\/a><\/strong>
Dhruva Sahrawat, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Rakesh Gosangi, Agniv Sharma, Amanda Stent, Yaman Kumar, Rajiv Ratn Shah and Roger Zimmermann<\/p>\n\n\n\n

Rethinking Query Expansion for BERT Reranking.<\/a><\/strong>
Ramith Padaki, Zhuyun Dai and Jamie Callan<\/p>\n\n\n\n

Entities<\/h3>\n\n\n\n

Wednesday morning + Thursday afternoon<\/em>
Zoom <\/em>C<\/s><\/span><\/a><\/strong><\/p>\n\n\n\n

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization.<\/a><\/strong>
Bruno Taill\u00e9, Vincent Guigue and Patrick Gallinari<\/p>\n\n\n\n

On the Temporality of Priors in Entity Linking.<\/a><\/strong>
Renato Stoffalette Joao<\/p>\n\n\n\n

Aspect-based Academic Search using Domain-specific KB.<\/a><\/strong>
Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty and Maya Ramanath<\/p>\n\n\n\n

Recommendation<\/p>\n\n\n\n

Wednesday afternoon + Friday morning<\/em>
Zoom <\/em>C<\/s><\/span><\/a><\/strong><\/p>\n\n\n\n

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

PMD: An Optimal Transportation-based User Distance for Recommender Systems.<\/a><\/strong>
Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao and Guangyong Chen<\/p>\n\n\n\n

Hybrid Semantic Recommender System for Chemical Compounds.<\/a><\/strong>
M\u00e1rcia Barros, Andr\u00e9 Moitinho and Francisco M. Couto<\/p>\n\n\n\n

Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings.<\/a><\/strong>
Alfonso Landin, Javier Parapar and Alvaro Barreiro<\/p>\n\n\n\n

Retrieval<\/h3>\n\n\n\n

Wednesday afternoon + Friday morning<\/em><\/em>
Zoom <\/em>C<\/s><\/span><\/a><\/strong><\/p>\n\n\n\n

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

A Latent Model for Ad Hoc Table Retrieval.<\/a><\/strong>
Ebrahim Bagheri and Feras Al-Obeidat<\/p>\n\n\n\n

A Multi-task Approach to Open Domain Suggestion Mining using Language Model for Text Over-sampling.<\/a><\/strong>
Maitree Leekha, Mononito Goswami and Minni Jain<\/p>\n\n\n\n

DAKE: Document-level Attention for Keyphrase Extraction.<\/a><\/strong>
Santosh Tokala Yaswanth Sri Sai, Debarshi Kumar Sanyal, Plaban Kumar Bhowmick and Partha Pratim Das<\/p>\n\n\n\n

Dualism in Topical Relevance.<\/a><\/strong>
Panagiotis Papadakos and Orfeas Kalipolitis<\/p>\n\n\n\n

Neural Query-biased Abstractive Summarization Using Copying Mechanism.<\/a><\/strong>
Tatsuya Ishigaki, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen and Manabu Okumura<\/p>\n\n\n\n

Predicting the Size of Candidate Document Set for Implicit Web Search Result Diversification.<\/a><\/strong>
Yasar Baris Ulu and Ismail Sengor Altingovde<\/p>\n\n\n\n

Session-based Path Prediction by Combining Local and Global Content Preferences.<\/a><\/strong>
Kushal Chawla and Niyati Chhaya<\/p>\n\n\n\n

Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning.<\/a><\/strong>
Sean MacAvaney, Luca Soldaini and Nazli Goharian<\/p>\n\n\n\n

Image\/Video<\/h3>\n\n\n\n

Wednesday afternoon + Friday morning<\/em><\/em>
Zoom <\/em>C<\/s><\/span><\/a><\/strong><\/p>\n\n\n\n

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

SlideImages: A Dataset for Educational Image Classification.<\/a><\/strong>
David Morris, Eric M\u00fcller-Budack and Ralph Ewerth<\/p>\n\n\n\n

Supervised Learning Methods for Diversification of Image Search Results.<\/a><\/strong>
Burak Goynuk and Ismail Sengor Altingovde<\/p>\n\n\n\n

Personalized Video Summarization based exclusively on User Preferences.<\/a><\/strong>
Costas Panagiotakis, Harris Papadakis and Paraskevi Fragopoulou<\/p>\n\n\n\n

Text-Image-Video Summary Generation using Joint Integer Linear Programming.<\/a><\/strong>
Anubhav Jangra, Adam Jatowt, Mohammad Hasanuzzaman and Sriparna Saha<\/p>\n\n\n\n

Assessing the Impact of OCR Errors in Information Retrieval.<\/a><\/strong>
Guilherme Bazzo, Gustavo Lorentz, Danny Suarez Vargas and Viviane P. Moreira<\/p>\n\n\n\n

Domain Adaptation via Context Prediction for Engineering Diagram Search.<\/a><\/strong>
Harsh Jhamtani and Taylor Berg-Kirkpatrick<\/p>\n\n\n\n

Medical<\/h3>\n\n\n\n

Thursday morning + Friday afternoon<\/em>
Zoom <\/em>C<\/s><\/span><\/a><\/strong><\/p>\n\n\n\n

YouTube playlist<\/span><\/strong><\/a><\/p>\n\n\n\n

BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction.<\/a><\/strong>
Diana Sousa and Francisco M. Couto<\/p>\n\n\n\n

MedLinker: Medical Entity Recognition and Linking combining Neural Language Models with Approximate Dictionary Matching.<\/a><\/strong>
Daniel Loureiro and Alipio Jorge<\/p>\n\n\n\n

Understanding depression from psycholinguistic patterns in social media texts.<\/a><\/strong>
Alina Trifan, Rui Antunes, S\u00e9rgio Matos and Jos\u00e9 Luis Oliveira<\/p>\n\n\n\n

On Biomedical Named Entity Recognition: Experiments in Bilingual Transfer for Clinical and Social Media Texts.<\/a><\/strong>
Zulfat Miftakhutdinov, Ilseyar Alimova and Elena Tutubalina<\/p>\n\n\n\n

Ranking Significant Discrepancies in Clinical Reports.<\/a><\/strong>
Sean MacAvaney, Arman Cohan, Nazli Goharian and Ross Filice<\/p>\n\n\n\n

DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations.<\/a><\/strong>
Markus Zlabinger, Sebastian Hofst\u00e4tter, Navid Rekabsaz and Allan Hanbury<\/p>\n\n\n\n

Calling attention to passages for biomedical question answering.<\/a><\/strong>
Tiago Almeida and S\u00e9rgio Matos<\/p>\n\n\n\n

Generating query suggestions for cross-language and cross-terminology health information retrieval.<\/a><\/strong>
Paulo Santos and Carla Teixeira Lopes<\/p>\n\n\n\n

Demos<\/strong><\/h2>\n\n\n\n

Thursday morning + Friday afternoon
Zoom <\/em>C<\/span><\/a><\/strong>
<\/s>
YouTube playlist<\/span><\/strong><\/a><\/p><\/blockquote>\n\n\n\n

A Search Engine for Police Press Releases to Double-check the News.<\/a><\/strong>
Maik Fr\u00f6be, Nina Schwanke, Matthias Hagen and Martin Potthast<\/p>\n\n\n\n

A Web-based Platform for Mining and Ranking Association Rules.<\/a><\/strong>
Addi Ait-Mlouk and Lili Jiang<\/p>\n\n\n\n

Army ANT: A Workbench for Innovation in Entity-Oriented Search.<\/a><\/strong>
Jos\u00e9 Devezas and S\u00e9rgio Nunes<\/p>\n\n\n\n

EveSense: What can you sense from Twitter?.<\/a><\/strong>
Muhammad Imran Razzak, Zafar Saeed and Rabeeh Ayaz<\/p>\n\n\n\n

MathSeer: A Math-Aware Search Interface with Intuitive Formula Editing, Reuse, and Lookup.<\/a><\/strong>
Gavin Nishizawa, Jennifer Liu, Yancarlos Diaz, Abishai Dmello, Wei Zhong and Richard Zanibbi<\/p>\n\n\n\n

NLPExplorer: Exploring the Universe of NLP Papers.<\/a><\/strong>
Monarch Parmar, Naman Jain, Pranjali Jain, Jayakrishna Sahit, Soham Pachpande, Shruti Singh and Mayank Singh<\/p>\n\n\n\n

Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results.<\/a><\/strong>
Sebastian Hofst\u00e4tter, Markus Zlabinger and Allan Hanbury<\/p>\n\n\n\n

Personal Research Assistant for Online Exploration of Historical News<\/a><\/strong>
Lidia Pivovarova, Axel Jean-Caurant, Jari Avikainen, Khalid Alnajjar, Mark Granroth-Wilding, Leo Lepp\u00e4nen, Elaine Zosa and Hannu Toivonen<\/p>\n\n\n\n

QISS : an open source image similarity search engine.<\/a><\/strong>
Maxime Portaz, Ilyes Kacher, Hicham Randrianarivo and Sylvain Peyronnet<\/p>\n\n\n\n

Revisionista.PT: Uncovering the News Cycle using Web Archives.<\/a><\/strong>
Flavio Martins and Andr\u00e9 Mour\u00e3o<\/p>\n","protected":false},"excerpt":{"rendered":"

Full Schedule (click to enlarge) All events shown in time zone: Western European Time – Lisbon Public URL to this calendar Day 0 | Tuesday, 14 April 2020… Keynote Joana de S\u00e1 Tuesday, 14 April 2020 14:00Zoom A YouTube Focusing the macroscope: how we can use data to understand behaviorJoana Gon\u00e7alves de S\u00e1 Tutorials Tuesday, … <\/p>\n