A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego and Nicola Tonellotto
Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm aided Complaint Detection Apoorva Singh, Arousha Nazir and Sriparna Saha
An Analysis of Variations in the Effectiveness of Query Performance Prediction Debasis Ganguly, Suchana Datta, Mandar Mitra and Derek Greene
Bi-granularity Adversarial Training for Non-Factoid Answer Retrieval Zhiling Jin, Yu Hong, Hongyu Zhu, Jianmin Yao and Min Zhang
Continual Learning of Long Topic Sequences in Neural Information Retrieval Thomas Gerald and Laure Soulier
Did I see it before? Detecting previously-checked claims over Twitter Watheq Mansour, Tamer Elsayed and Abdulaziz Al-Ali
Effective Rating Prediction using an Attention-based User Review Sentiment Model Xi Wang, Iadh Ounis and Craig Macdonald
Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs Veronica Gil Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego and Salvatore Trani
Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators Gustavo Penha, Arthur Câmara and Claudia Hauff
Exploiting Document-based Features for Clarification in Conversational Search Ivan Sekulic, Mohammad Aliannejadi and Fabio Crestani
Exploring Entities in Event Detection as Question Answering Emanuela Boros, Jose G Moreno and Antoine Doucet
Extending CLIP for Category-to-image Retrieval in E-commerce Mariya Hendriksen, Maurits Bleeker, Svitlana Vakulenko, Nanne van Noord, Ernst Kuiper and Maarten de Rijke
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review Eugene Yang, Sean MacAvaney, David Lewis and Ophir Frieder
HC4: A New Suite of Test Collections for Ad Hoc CLIR Dawn Lawrie, James Mayfield, Douglas Oard and Eugene Yang
Immediate Text Search on Streams Using Apoptosic Indexes Patrick Eades, Anthony Wirth and Justin Zobel
Incorporating Ranking Context for End-to-End BERT Re-ranking Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun and Zheng Ye
Influence-based Deep Network for Next POIs Prediction. Sayda Elmi and Kian-Lee Tan
Joint Personalized Search and Recommendation with Hypergraph Convolutional Networks Thibaut Thonet, Jean-Michel Renders, Mario Choi and Jinho Kim
Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking Nianlong Gu, Yingqiang Gao and Richard H.R. Hahnloser
Multi-Modal Sentiment and Emotion Joint Analysis with A Deep Attentive Multi-Task Learning Model Yazhou Zhang, Lu Rong, Xiang Li and Rui Chen
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky and Marc Najork
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne and Allan Hanbury
RATE: A Reliability-Aware Tester-basedEvaluation Framework of User Simulators Sahiti Labhishetty and Chengxiang Zhai
Recommendation of Compatible Outfits Conditioned on Style Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly and Arnab Bhattacharya
Search Clarification Selection via Query-Intent-Clarification Graph Attention Chang Gao and Wai Lam
Searching, Learning, and Subtopic Ordering: A Simulated Analysis Arthur Câmara, David Maxwell and Claudia Hauff
Sentiment guided Aspect conditioned Dialogue Generation in a Multimodal System Mauajama Firdaus, Nidhi Thakur and Asif Ekbal
Supercalifragilisticexpialidocious: Why Using the “Right” Readability Formula in Children’s Web Search Matters Garrett Allen, Ashlee Milton, Katherine Wright, Jerry Fails, Casey Kennington and Maria Soledad Pera
WANDS: Dataset for Product Search Relevance Assessment Yan Chen, Shujian Liu, Zheng Liu, Weiyi Sun, Linas Baltrunas and Benjamin Schroeder
Topic Aware Contextualized Embeddings for High Quality Phrase Extraction Venktesh V, Mukesh Mohania and Vikram Goyal
Topic Modeling on Podcast Short-Text Metadata Francisco B. Valero, Marion Baranes and Elena V. Epure
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models Suraj Nair, Eugene Yang, Dawn Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield and Douglas Oard
Validating Simulations of User Query Variants Timo Breuer, Norbert Fuhr and Philipp Schaer
Why Did You Not Compare With That? Finding Papers for Use as Baseline Manjot Bedi, Tanisha Pandey, Sumit Bhatia and Tanmoy Chakraborty
WIDAR – Weighted Input Document Augmented ROUGE Raghav Jain, Vaibhav Mavi, Anubhav Jangra and Sriparna Saha
Reproducibility papers
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema and Paolo Cremonesi
Another Look at DPR: Reproduction of Training and Replication of Retrieval Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li and Jimmy Lin
Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study Wojciech Kusa, Allan Hanbury and Petr Knoth
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations Ludovico Boratto, Gianni Fenu, Mirko Marras and Giacomo Medda
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval? Maurits Bleeker and Maarten de Rijke
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin and Guido Zuccon
Reproducing Personalised Session Search over the AOL Query Log Sean MacAvaney, Craig Macdonald and Iadh Ounis
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness Nicola Neophytou, Bhaskar Mitra and Catherine Stinson
Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study Shuai Wang, Harrisen Scells, Ahmed Mourad and Guido Zuccon
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-encoder Effectiveness for Reranking Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates and Jimmy Lin
The Power of Anchor Text in the Neural Retrieval Era Maik Fröbe, Sebastian Günther, Maximilian Probst, Martin Potthast and Matthias Hagen
Short papers
A Light-weight Strategy for Restraining Gender Biases in Neural Rankers Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat and Ebrahim Bagheri
CARES: CAuse Retrieval for Emotion in Suicide notes Soumitra Ghosh, Swarup Roy, Asif Ekbal and Pushpak Bhattacharyya
Comparing Intrinsic and Extrinsic Evaluation of Sensitivity Classification Mahmoud Sayed, Nishanth Mallekav and Douglas Oard
Does Structure Matter? Leveraging Data-To-Text Generation for Answering Complex Information Needs Hanane Djeddal, Thomas Gerald, Laure Soulier, Karen Pinel-Sauvagnat and Lynda Tamine
Enhanced Sentence Meta-Embeddings for Textual Understanding Sourav Dutta and Haytham Assem
Establishing Strong Baselines for TripClick Health Retrieval Sebastian Hofstätter, Sophia Althammer, Mete Sertkan and Allan Hanbury
Evaluating Simulated User Interaction and Search Behaviour Saber Zerhoudi, Christin Seifert, Jörg Schlötterer and Michael Granitzer
Evaluating the Use of Synthetic Queries for Pre-Training a Semantic Query Tagger Elias Bassani and Gabriella Pasi
Expert Finding in Legal Community Question Answering Arian Askari, Suzan Verberne and Gabriella Pasi
GameOfThrones QA: Answer-Aware Question-Answer Pairs for TV Series Aritra Kumar Lahiri and Qinmin Vivian Hu
Groupwise Query Performance Prediction with BERT Xiaoyang Chen, Ben He and Le Sun
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation Hejie Cui, Jiaying Lu, Yao Ge and Carl Yang
How Different are Pre-trained Transformers for Text Ranking? David Rau and Jaap Kamps
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions Alexander J. Hepburn and Richard McCreadie
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization Amin Abolghasemi, Suzan Verberne and Leif Azzopardi
Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation? Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell and Linjun Yang
Leveraging Content-Style Item Representation for Visual Recommendation Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta and Felice Antonio Merra
Leveraging Customer Reviews for E-commerce Query Generation Yen-Chieh Lien, Rongting Zhang, Maxwell Harper, Vanessa Murdock and Chia-Jung Lee
Leveraging Transformer Self Attention Encoder for Crisis Event Detection in Short Texts Pantelis Kyriakidis, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis and Ioannis Kompatsiaris
Match your words ! A study of Lexical Matching in Neural Information Retrieval Thibault Formal, Benjamin Piwowarski and Stéphane Clinchant
Multilingual Topic Labelling of News Topics using Ontological Mapping Elaine Zosa, Lidia Pivovarova, Michele Boggia and Sardana Ivanova
Passage Retrieval on Structured Documents using Graph Attention Networks Lucas Albarede, Philippe Mulhem, Lorraine Goeuriot, Claude Le Pape-Gardeux, Sylvain Marie and Trinidad Chardin-Segui
Question rewriting? Assessing its importance for conversational question answering Gonçalo Raposo, Rui Ribeiro, Bruno Martins and Luísa Coheur
Recommender systems : when memory matters Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov and Nicolas Dante
Temporal Event Reasoning using Multi-Source Auxiliary Learning Objectives Xin Dong, Tanay Kumar Saha, Ke Zhang, Joel Tetreault, Alejandro Jaimes and Gerard de Melo
Towards Building Economic Models of Conversational Search Leif Azzopardi, Mohammad Aliannejadi and Evangelos Kanoulas
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations Emanuel Lacic, Leon Fadljevic, Franz Weissenböck, Stefanie Lindstaedt and Dominik Kowald
What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison Nikhita Vedula, Marcus Collins, Eugene Agichtein and Oleg Rokhlenko
Zero-Shot Recommendations as Language Modeling Damien Sileo, Wout Vossen and Robbe Raymaekers
Demo papers
ALWars: Combat-based Evaluation of Active Learning Strategies Julius Gonsior, Jakob Krude, Janik Schönfelder, Maik Thiele and Wolfgang Lehner
City of Disguise: A Query Obfuscation Game on the ClueWeb Maik Fröbe, Nicola Lea Libera and Matthias Hagen
DocTAG: A Customizable Annotation Tool for Ground Truth Creation Fabio Giachelle, Ornella Irrera and Gianmaria Silvello
DuoSearch: A Novel Search Engine for Bulgarian Historical Documents Angel Beshirov, Suzan Hadzhieva, Ivan Koychev and Milena Dobreva
INForex: Interactive News Digest for Forex Investors Chih-Hen Lee, Yi-Shyuan Chiang and Chuan-Ju Wang
Leaf: Multiple-Choice Question Generation Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev and Preslav Nakov
Patapasco: A Python Framework for Cross-Language Information Retrieval Experiments Cash Costello, Eugene Yang, Dawn Lawrie and James Mayfield
ranx: A Blazing-Fast Python Library for Ranking Evaluation and Comparison Elias Bassani
SolutionTailor: Scientific paper recommendation based on fine-grained abstract analysis Tetsuya Takahashi and Marie Katsurai
Streamlining Evaluation with ir-measures Sean MacAvaney, Craig Macdonald and Iadh Ounis
Turning News Texts into Business Sentiment Kazuhiro Seki
Tweet2Story: A web app to Extract Narrativesfrom Twitter Vasco Campos, Ricardo Campos, Pedro Mota and Alípio Jorge
CLEF 2022 Lab Descriptions
Advancing Math-Aware Search: The ARQMath-3 Lab at CLEF 2022 Behrooz Mansouri, Anurag Agarwal, Douglas Oard and Richard Zanibbi
Automatic Simplification of Scientific Texts: SimpleText Lab at CLEF-2022 Liana Ermakova, Patrice Bellot, Radia Hannachi, Stéphane Huet, Jaap Kamps, Elise Mathurin, Diana Nurbakova, Irina Ovchinnikova, Nicolas Poinsu, Eric Sanjuan and Sílvia Araújo
BioASQ at CLEF2022: The tenth edition of the large-scale biomedical semantic indexing andquestion answering challenge Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, Luis Gasco and Martin Krallinger
ChEMU 2022: Information Extraction in Chemical Patents Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zenan Zhai, Trevor Cohn, Timothy Baldwin and Karin Verspoor
CLEF Workshop JOKER: Automatic Pun and Humour Translation Liana Ermakova, Sílvia Araújo, Elise Mathurin, Anne-Gwenn Bosser, Tristan Miller, Fabio Regattin, Radia Hannachi, Gaëlle Le Corre, Mohamed Saki, Benoît Jeanjean, Ġorġ Mallia, Monika Bokiniec, Gordan Matas, Claudine Borg and Orlane Puchalski
eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges Javier Parapar, Patricia Martin-Rodilla, David Losada and Fabio Crestani
iDPP@CLEF – Intelligent Disease Progression Prediction at CLEF Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli and Sara Madeira
ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications Alba G. Seco de Herrera, Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Christoph M. Friedrich, Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Jon Chamberlain, Adrian Clark, Antonio Campello, Hugo Schindler, Jérôme Deshayes, Adrian Popescu, Liviu-Daniel Ştefan, Mihai Gabriel Constantin, and Mihai Dogariu
Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents Maud Ehrmann, Matteo Romanello, Simon Clematide and Antoine Doucet
LeQua@CLEF2022: Learning to Quantify Andrea Esuli, Alejandro Moreo Fernández and Fabrizio Sebastiani
LifeCLEF 2022 Teaser: an evaluation ofMachine-Learning based Species Identificationand Species Distribution Prediction Alexis Joly, Hervé Goëau, Stefan Kahl, Lukáš Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Pierre Bonnet and Henning Müller
Overview of PAN 2022: Authorship Verification,Profiling Irony and Stereotype Spreaders, Style ChangeDetection, and Trigger Detection Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annie Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reynier Ortega-Bueno, Piotr Pęzik, Martin Potthast, Francisco Manuel Rangel Pardo, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska and Eva Zangerle
Overview of Touché 2022: Argument Retrieval Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast and Matthias Hagen
The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Ruben Miguez, Tommaso Caselli, Mucahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov and Yavuz Selim Kartal
Doctoral consortium
A topical approach to capturing customer insight dynamics in social media Miguel Palencia-Olivar
An Entity-Oriented Approach For Answering Topical Information Needs Shubham Chatterjee
Cognitive Information Retrieval Dima El Zein
Continually Adaptive Neural Retrieval across the Legal, Patent and Health Domain Sophia Althammer
End to End Neural Retrieval for Patent Prior Art Search Vasileios Stamatis
Evidence_based Early Rumor Verification in Social Media Fatima Haouari
Graph-enhanced Document Representation for Court Case Retrieval Tobias Fink
Medical Entity Linking in Laypersons’ Language Annisa Maulida Ningtyas
Multimodal Retrieval in E-commerce Mariya Hendriksen
Relevance Models Based on the Knowledge Delta Yasin Ghafourian
Towards Explainable Search for Legal Text Sayantan Polley
Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail Mozhdeh Ariannezhad
