Program

Long papers :

 

  • Evaluation of conversational QA for aerospace domain – Alexandre Arnold, Gérard Dupont, Catherine Kobus, François Lancelot and Ying-Hsang Liu
  • Temporal and Topical Profiles for Expert Finding – Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete and Luis Redondo-Expósito
  • Semantic Annotation and Retrieval of Parliamentary Content: A Case Study on the Spanish Congress of Deputies – Iván Cantador and Lara Quijano-Sánchez
  • Forecasting Patent Growth By Combining Time-Series Signals With Covariance Patterns – Manajit Chakraborty, Seyed Ali Bahrainian and Fabio Crestani
  • Capitalizing on a TREC track to build a tweet summarization dataset – Alexis Dusart, Karen Pinel-Sauvagnat and Gilles Hubert
  • A framework for user assistance on predictive models – Gabriel Ferrettini, Julien Aligon, Chantal Soulé-Dupuy and William Raynaut
  • Proof of concept and evaluation of eye gaze enhanced relevance feedback in quasi-ecological context – Vaynee Sungeelee, Francis Jambon and Philippe Mulhem

 

Short papers :

 

  • Say it with Emojis: Co-designing Relevance Cues for Searching in the Classroom – Mohammad Aliannejadi, Theo Huibers, Monica Landoni, Emiliana Murgia and Maria Soledad Pera
  • Retrospective tweet summarization: Investigating neural approaches for Tweet retrieval – Lila Boualili, Lynda Said Lhadj and Mohand Boughanem
  • Experiencias y lecciones Aprendidas sobre Búsqueda de Expertos y Filtrado de Documentos en un contexto parlamentario – Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete and Redondo Luis
  • Fair Exposure of Documents in Information Retrieval : a Community Detection Approach – Adrian-Gabriel Chifu, Josiane Mothe and Md Zia Ullah
  • Similitud topológica de usuarios: Aplicación a los sistemas de recomendación – Fernando Díez, Alejandro Bellogin and Jesús Serrano
  • Predicting companies referred to in newspaper articles – Elöd Egyed-Zsigmond, Amine Nahid and Sylvie Calabretto
  • Knowledge Based Transformer Model for Information Retrieval – Jibril Frej, Didier Schwab and Jean-Pierre Chevallet
  • MLWIKIR: A Python toolkit for building large-scale Wikipedia-based Information Retrieval Datasets in Chinese, English, French, Italian, Japanese, Spanish and more – Jibril Frej, Didier Schwab and Jean-Pierre Chevallet
  • Aspect-based active learning for user preference elicitation in recommender systems – María Hernández-Rubio, Alejandro Bellogín and Iván Cantador
  • Event detection and time series alignment to improve stock market forecasting – Elliot Maitre, Zakaria Chemli, Max Chevalier, Bernard Dousset, Jean-Philippe Gitto and Olivier Teste
  • Anorexia Topical Trends in Self-declared Reddit Users – Razan Masood, Mengjiao Hu, Hermenegildo Fabregat, Ahmet Aker and Norbert Fuhr
  • What Snippets Feel: Depression, Search, and Snippets – Ashlee Milton and Maria Soledad Pera
  • Using BERT and BART for Query Suggestion – Agnès Mustar, Sylvain Lamprier and Benjamin Piwowarski
  • Automatic annotation of change in satellite imagery – Nathalie Neptune
  • Structured argumentation modeling and extraction: Understanding the semantics of parliamentary content – Lara Quijano-Sanchez and Iván Cantador
  • Early Detection of Depression and Anorexia from Social Media: A Machine Learning Approach –  Faneva Ramiandrisoa and Josiane Mothe
  • Multi-level Semantic Representation Model for code search – Donzhen Wen, Liang Yang, Yingying Zhang, Yuan Lin, Kan Xu and Hongfei Lin
  • Context-aware Ranking Refinement with Attentive Semi-supervised Autoencoders – Bo Xu, Hongfei Lin and Dongyu Zhang
  • AnalyzeLab: a Tool to Help Machine Learning Developers Evaluating their Models (Demo paper) – Wenhan Yang and Jing Zhai

Extended Abstract :

 

  • The DELICES project: Indexing scientific literature through semantic expansion – Florian Boudin, Béatrice Daille, Evelyne Jacquey and Jian-Yun Nie
  • Improved compressed string dictionaries – Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo De Bernardo and Gonzalo Navarro
  • Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project – Konstantinos Demestichas, Thi Bich Ngoc Hoang, Josiane Mothe, Olivier Teste and Md Zia Ullah
  • On the Reproducibility of Experiments of Indexing Repetitive Document Collections – Antonio Fariña, Miguel A. Martínez-Prieto, Francisco Claude, Gonzalo Navarro, Juan J. Lastra-Díaz, Nicola Prezza and Diego Seco
  • HOPE (High Order Profile Expansion) for the new user problem on recommender systems – Diego Fernández, Vreixo Formoso, Fidel Cacheda and Victor Carneiro
  • eXtream: a System for Real-time Monitoring of Dynamic Web Sources – Marcos Fernández-Pichel, Rodrigo Martínez-Castaño, David E. Losada Carril and Juan C. Pichel Campos
  • Resume: A Robust Framework for Professional Profile Learning & Evaluation – Clara Gainon de Forsan de Gabriac, Amina Djelloul, Constance Scherrer, Vincent Guigue and Patrick Gallinari
  • Categorized Bandits – Matthieu Jedor, Jonathan Louedec and Vianney Perchet
  • We have only just began: Children Searching in the Classroom – Monica Landoni, Emiliana Murgia, Theo Huibers and Maria Soledad Pera
  • Beaver: Efficiently Building Test Collections for Novel Tasks – David Otero, Javier Parapar and Álvaro Barreiro
  • Capturing Entity Hierarchy in Data-to-Text Generative Models – Clément Rebuffel, Laure Soulier, Geoffrey Scoutheteen and Patrick Gallinari
  • Analysis of trajectory pattern mining methods for recommendation – Sergio Torrijos and Alejandro Bellogin