Paper session 1 (11:00 – 12:30)

Queries, Sessions, and Question Answering
Chair: Annalina Caputo

Exploring Entities in Event Detection as Question Answering
Emanuela Boros, Jose G Moreno and Antoine Doucet

Bi-granularity Adversarial Training for Non-Factoid Answer Retrieval
Zhiling Jin, Yu Hong, Hongyu Zhu, Jianmin Yao and Min Zhang

An Analysis of Variations in the Effectiveness of Query Performance Prediction
Debasis Ganguly, Suchana Datta, Mandar Mitra and Derek Greene

[IRJ] Topic-independent Modeling of User Knowledge in Informational Search Sessions
Ran Yu, Rui Tang, Markus Rokicki, Ujwal Gadiraju, Stefan Dietze

Paper session 2 (14:00 – 15:30)

Simulation
Chair: Nicola Ferro

Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators
Gustavo Penha, Arthur Câmara and Claudia Hauff

Validating Simulations of User Query Variants
Timo Breuer, Norbert Fuhr and Philipp Schaer

RATE: A Reliability-Aware Tester-based Evaluation Framework of User Simulators
Sahiti Labhishetty and Chengxiang Zhai

Searching, Learning, and Subtopic Ordering: A Simulated Analysis
Arthur Câmara, David Maxwell and Claudia Hauff

Paper session 3 (16:00 – 17:30)

Conversational IR
Chair: Mohammad Aliannejadi

A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation
Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego and Nicola Tonellotto

Search Clarification Selection via Query-Intent-Clarification Graph Attention
Chang Gao and Wai Lam

Exploiting Document-based Features for Clarification in Conversational Search
Ivan Sekulic, Mohammad Aliannejadi and Fabio Crestani

Sentiment guided Aspect conditioned Dialogue Generation in a Multimodal System
Mauajama Firdaus, Nidhi Thakur and Asif Ekbal

Paper session 4 (10:30 – 12:00)

Sentiment and Social Media
Chair: Fabio Crestani 

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

Multi-Modal Sentiment and Emotion Joint Analysis with A Deep Attentive Multi-Task Learning Model
Yazhou Zhang, Lu Rong, Xiang Li and Rui Chen

Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm aided Complaint Detection
Apoorva Singh, Arousha Nazir and Sriparna Saha

Paper session 5 (13:30 – 15:00)

E-commerce and Advertisements
Chair: Allan Hanbury

Recommendation of Compatible Outfits Conditioned on Style
Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly and Arnab Bhattacharya

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

WANDS: Dataset for Product Search Relevance Assessment
Yan Chen, Shujian Liu, Zheng Liu, Weiyi Sun, Linas Baltrunas and Benjamin Schroeder

[IRJ] Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performance
Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon

Paper session 6 (15:30 – 17:00)

Text analysis
Chair: Giorgio Di Nunzio

“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

Topic Modeling on Podcast Short-Text Metadata
Francisco B. Valero, Marion Baranes and Elena V. Epure

WIDAR – Weighted Input Document Augmented ROUGE
Raghav Jain, Vaibhav Mavi, Anubhav Jangra and Sriparna Saha

Topic Aware Contextualized Embeddings for High Quality Phrase Extraction
Venktesh V, Mukesh Mohania and Vikram Goyal

Paper session 7 (17:30 – 18:15)

Cross-Language IR
Chair: Maria Maistro

HC4: A New Suite of Test Collections for Ad Hoc CLIR
Dawn Lawrie, James Mayfield, Douglas Oard and Eugene Yang

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

Paper session 8 (10:30 – 12:00)

Recommendation
Chair: Udo Kruschwitz 

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

[IRJ] Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation
Anirban Chakraborty, Debasis Ganguly, Annalina Caputo, Gareth J. F. Jones

Paper session 9 (13:30 – 15:00)

Efficiency and Clustering
Chair: Sole Pera

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

Immediate Text Search on Streams Using Apoptosic Indexes
Patrick Eades, Anthony Wirth and Justin Zobel

[IRJ] Efficient Query Processing Techniques for Next-Page Retrieval
Joel Mackenzie, Matthias Petri, Alistair Moffat

[IRJ] Measuring of Clustering Effectiveness for Document Collections
Meng Yuan, Justin Zobel, Pauline Lin

Reproducibility 1 (13:30 – 15:00)

Recommendation and Images
Chair: Haiming Liu

An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema and Paolo Cremonesi

Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations
Ludovico Boratto, Gianni Fenu, Mirko Marras and Giacomo Medda

Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness
Nicola Neophytou, Bhaskar Mitra and Catherine Stinson

Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?
Maurits Bleeker and Maarten de Rijke

Paper session 10 (15:30 – 17:00)

Professional search
Chair: Sean MacAvaney 

Why Did You Not Compare With That? Finding Papers for Use as Baseline
Manjot Bedi, Tanisha Pandey, Sumit Bhatia and Tanmoy Chakraborty

Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review
Eugene Yang, Sean MacAvaney, David Lewis and Ophir Frieder

PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval
Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne and Allan Hanbury

[IRJ] Search Results Diversification for Effective Fair Ranking in Academic Search
Graham McDonald, Craig Macdonald, Iadh Ounis

Reproducibility 2 (15:30 – 17:00)

Neural IR (1)
Chair: Jaap Kamps 

Another Look at DPR: Reproduction of Training and Replication of Retrieval
Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li and Jimmy Lin

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

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

Paper session 11 (17:30 – 18:40)

Neural IR (2)
Chair: Benjamin Piwowarski 

Continual Learning of Long Topic Sequences in Neural Information Retrieval
Thomas Gerald and Laure Soulier

Incorporating Ranking Context for End-to-End BERT Re-ranking
Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun and Zheng Ye

Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models
Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky and Marc Najork

Reproducibility 3 (17:30 – 18:40)

Scholarly and Session Search
Chair: Ingo Frommholz

Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study
Wojciech Kusa, Allan Hanbury and Petr Knoth

Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study
Shuai Wang, Harrisen Scells, Ahmed Mourad and Guido Zuccon

Reproducing Personalised Session Search over the AOL Query Log
Sean MacAvaney, Craig Macdonald and Iadh Ounis