The full program is available in png format here and in pdf format here.
The program of tutorials and workshops on Monday 26 is available here.
The detailed program of the industry day is available here.
The detail of the Sessions can be found below :
Papers session 1a : Topic Modelling
Andreas Spitz and Michael Gertz
Entity-centric Topic Extraction and Exploration: A Network-based Approach
Seyed Ali Bahrainian, Ida Mele and Fabio Crestani
Predicting Topics in Scholarly Papers
Kuntal Dey, Saroj Kaushik, Kritika Garg and Ritvik Shrivastava
Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social
Papers session 1b : Health Applications
Raksha Jalan, Manish Gupta and Vasudeva Varma
Medical Forum Question Classification Using Deep Learning
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish Keshav Palshikar
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets
Jimmy Jimmy, Guido Zuccon and Bevan Koopman
Choices in Knowledge-Base Retrieval for Consumer Health Search
Papers session 2a : Deep Learning I
Junfeng Tian, Man Lan, Yuanbin Wu, Jingang Wang, Long Qiu, Sheng Li, Jun Lang and Luo Si
An Adversarial Joint Learning Model for Low-resource Language Semantic Textual Similarity
Alexander Dür, Andreas Rauber and Peter Filzmoser
Reproducing a Neural Question Answering Architecture applied to the SQuAD Benchmark Dataset: Challenges and Lessons Learned
Tim Repke and Ralf Krestel
Bringing Back Structure to Free Text Email Conversations with Recurrent Neural Networks
Daniel Cohen and W Bruce Croft.
A Hybrid Embedding Approach to Noisy Answer Passage Retrieval
Papers session 2b : Evaluations & User behavior
Marco Ferrante, Nicola Ferro and Silvia Pontarollo
Modelling Randomness in Relevance Judgments and Evaluation Measures
David Maxwell and Leif Azzopardi
Information Scent, Searching and Stopping: Modelling SERP Level Stopping Behaviour
Jiaxin Mao, Yiqun Liu, Noriko Kando, Cheng Luo, Min Zhang and Shaoping Ma
Investigating Result Usefulness in Mobile Search
David Brazier and Morgan Harvey
A Comparative Study of Native and Non-Native Information Seeking Behaviours
Papers session 3a : Representation I
Vincent Claveau
Indiscriminateness in representation spaces of terms and documents
Xiao Yang, Iadh Ounis, Richard Mccreadie, Craig Macdonald and Anjie Fang
On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings
Maoyuan Zhang, Qi Wang, Wukui Xu, Wei Li and Shuyuan Sun
Discriminative Path-based Knowledge Graph Embedding for Precise Link Prediction
Papers session 3b : Recommendation
Kartik Gupta, Noveen Sachdeva and Vikram Pudi
Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation
Gaurav Singh and Sandra Mitrovic
Benefits of using Symmetric Loss in Recommender Systems
Pablo Sanchez and Alejandro Bellogin
Time-aware novelty metrics for recommender
Ludovico Boratto, Salvatore Carta, Gianni Fenu and Luca Piras
Employing Document Embeddings to Solve the “New Catalog” Problem in User Targeting, and Provide Explanations to the Users
Papers session 4a : Retrieval
Gianmaria Silvello, Maristella Agosti, Riccardo Bucco, Giulio Busato, Giacomo Fornari, Andrea Langeli, Alberto Purpura, Giacomo Rocco and Alessandro Tezza
Statistical Stemmers: A Reproducibility Study
Georgios Balikas, Charlotte Laclau, Ievgen Redko and Massih-Reza Amini
Cross-lingual Document Retrieval using Regularized Wasserstein Distance
Sajad Sotudeh Gharebagh, Peyman Rostami and Mahmood Neshati
T-shaped Mining: A Novel Approach to Talent Finding for Agile Software Teams
Panpan Wang, Tianshu Wang, Yuexian Hou and Dawei Song
Modeling Relevance Judgement Inspired by Quantum Weak Measurement
Papers session 4b : Deep Learning II
Sweta Agrawal and Amit Awekar
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang and Lili Mou
Affective Neural Response Generation
Thijs Vogels, Octavian Eugen Ganea and Carsten Eickhoff
Web2Text: Deep Structured Boilerplate Removal
Pinkesh Badjatiya, Litton J Kurisinkel, Manish Gupta and Vasudeva Varma
Attention-based Neural Text Segmentation
Papers session 5 : Learning / Classification
Graham Mcdonald, Craig Macdonald and Iadh Ounis
Active Learning Strategies for Technology Assisted Sensitivity Review
Oren Halvani, Lukas Graner and Inna Vogel
Authorship Verification in the Absence of Explicit Features and Thresholds
Mostafa Haghir Chehreghani and Morteza Haghir Chehreghani
Efficient Context-Aware K-Nearest Neighbor Search
Papers session 6 : Micro-blogs
Giannis Nikolentzos, Christos Ksipolopoulos, Polykarpos Meladianos and Michalis Vazirgiannis
An Optimization Approach for Sub-event Detection and Summarization in Twitter
Özer Özdikiş, Heri Ramampiaro and Kjetil Nørvåg
Spatial Statistics of Term Co-occurrences for Location Prediction of Tweets
Jose Miguel Herrera, Barbara Poblete and Denis Parra
Learning to Leverage Microblog Information for QA Retrieval
Papers session 7 : Representation II
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu and Xueqi Cheng
Spherical Paragraph Model
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu and Xueqi Cheng
Aggregating Neural Word Embeddings for Document Representation
Yazhou Zhang, Dawei Song, Xiang Li and Peng Zhang
Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation
Posters and Demos : Short papers
Ferenc Galkó and Carsten Eickhoff
Biomedical Question Answering via Weighted Neural Network Passage Retrieval
Kuntal Dey, Ritvik Shrivastava and Saroj Kaushik
Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention
Qingyao Ai, Brendan O’Connor and W. Bruce Croft
A Neural Passage Model for Ad-hoc Document Retrieval
Joel Mackenzie, Craig Macdonald, Falk Scholer and J. Shane Culpepper
On the Cost of Negation for Dynamic Pruning
Suneel Kumar Kingrani, Mark Levene and Dell Zhang
A Meta-Evaluation of Evaluation Methods for Diversified Search
Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani and Girish Keshav Palshikar
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets
Karam Abdulahhad
Concept Embedding for Information Retrieval
Rúben Ramalho, André Mourão and Joao Magalhaes
Patient-age extraction for clinical reports retrieval
Zhuyun Dai and Jamie Callan
Inverted List Caching for Topical Index Shards
Eva Zangerle, Michael Tschuggnall, Stefan Wurzinger and Günther Specht
ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists
Shivali Goel, Rishi Madhok and Shweta Garg
Proposing Contextually Relevant Quotes for Images
Michael Färber, Alexander Thiemann and Adam Jatowt
To Cite, or Not to Cite? Detecting Citation Contexts in Text
Anirban Majumder, Abhay Pande, Kondalarao Vonteru, Abhishek Gangwar, Subhadeep Maji, Pankaj Bhatia and Pawan Goyal
Automated Assistance in E-commerce: An Approach based on Category-Sensitive Retrieval
Till Haug, Octavian-Eugen Ganea and Paulina Grnarova
Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables
Rodrigo Wilkens, Leonardo Zilio and Cédrick Fairon
Document Ranking Applied to Second Language Learning
Heng Ding, Shuo Zhang, Darío Garigliotti and Krisztian Balog
Generating High-Quality Query Suggestion Candidates for Task-Based Search
Rama Syamala Sreepada and Bidyut Kr. Patra
An Incremental Approach for Collaborative Filtering in Streaming Scenarios
Nils Witt, Michael Granitzer and Christin Seifert
Collection-Document Summaries
Darío Garigliotti and Krisztian Balog
Towards an Understanding of Entity-Oriented Search Intents
Dmitri Roussinov
Towards Measuring Content Coordination in Microblogs
Mittul Singh, Arunav Mishra, Youssef Oualil, Klaus Berberich and Dietrich Klakow Long-Span
Language Models for Query-focused Unsupervised Extractive Text Summarization
Anil Kumar Trikha, Fattane Zarrinkalam and Ebrahim Bagheri
Topic-Association Mining for User Interest Detection
Giorgio Maria Di Nunzio
A Study of an Automatic Stopping Strategy for Technologically Assisted Medical Reviews
Bogdan Nicula, Stefan Ruseti and Traian Rebedea
Improving deep learning for multiple choice question answering with candidate contexts
Ricardo Campos, Vítor Mangaravite, Arian Pasquali, Alipio M. Jorge, Célia Nunes and Adam Jatowt
A Text Feature Based Automatic Keyword Extraction Method for Single Documents
Jan Štihec, Martin Znidarsic and Senja Pollak
Simplified hybrid approach for detection of semantic orientations in economic texts
Graham Mcdonald, Craig Macdonald and Iadh Ounis
Towards Maximising Openness in Digital Sensitivity Review using Reviewing Time Predictions
Mahsa S. Shahshahani, Faegheh Hasibi, Hamed Zamani and Azadeh Shakery
Towards a Unified Supervised Approach for Ranking Triples of Type-like Relations
Behrooz Mansouri, Mohammad Sadegh Zahedi, Ricardo Campos, Mojgan Farhoodi and Maseud Rahgozar
ParsTime: Rule-Based Extraction and Normalization of Persian Temporal Expressions
Jean-Michel Renders
Active Search for High Recall: a Non-Stationary Extension of Thompson Sampling
Yasunobu Sumikawa and Adam Jatowt
Classifying Short Descriptions of Past Events
Hossein Fani, Masoud Bashari, Fattane Zarrinkalam, Ebrahim Bagheri and Feras Al-Obeidat
Stopword Detection for Streaming Content
Suranjana Samanta and Sameep Mehta
Generating Adversarial Text Samples
Heeyoung Kwon, Harsh Trivedi, Peter Jansen, Mihai Surdeanu and Niranjan Balasubramanian
Controlling Information Aggregation for Complex Question Answering
Haofeng Jia and Erik Saule
Local is Good: A Fast Citation Recommendation Approach
Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald and Iadh Ounis
On Refining Twitter Lists as Ground Truth Data for Multi-Community User Classification
Xinshi Lin and Wai Lam
Entity Retrieval via Type Taxonomy Aware Smoothing
Axel Suarez, Dyaa Albakour, David Corney, Miguel Martinez and Jose Alberto Esquivel
A Data Collection for Evaluating the Retrieval of Related Tweets to News Articles
Parth Mehta and Prasenjit Majumder
Content based Weighted Consensus Summarization
Posters and Demos : Demonstrations
Jean Charbonnier, Lucia Sohmen, John Rothman, Birte Rohden and Christian Wartena
NOA: A Search Engine for Reusable Scientific Images beyond the Life Sciences
Rodrigo Martínez-Castaño, Juan C. Pichel, David E. Losada and Fabio Crestani
A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media
Ricardo Campos, Vítor Mangaravite, Arian Pasquali, Alipio M. Jorge, Célia Nunes and Adam Jatowt
YAKE! Collection-independent Automatic Keyword Extractor
Lalit Sanagavarapu, Neeraj Mathur, Shriyansh Agrawal and Y. Raghu Reddy
SIREN – Security Information Retrieval and Extraction eNgine
Michael Färber, Alexander Thiemann and Adam Jatowt
CITEWERTs: A System Combining Cite-Worthiness with Citation Recommendation
Janek Bevendorff, Benno Stein, Matthias Hagen and Martin Potthast
Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl
Workshops
Philipp Mayr, Ingo Frommholz, and Guillaume Cabanac
Bibliometric-enhanced Information Retrieval: 7th International BIR Workshop
Tamer Elsayed, Walid Magdy, Mucahid Kutlu, Maram Hasanain and Reem Suwaileh
BrodDyn’18: Workshop on Analysis of Brad Dynaic Topics over Social Media
Miguel Martinez, Dyaa Albakour, David Corney, Julio Gonzalo,Barbara Poblete, Andreas Vlachos
Second International Workshop on Recent Trends in News Information Retrieval (NewsIR’18)
Ludovico Boratto and Giovanni Stilo
Workshop on Social Aspects in Personnalization and Search (SoAPS 218)
Alípio Jorge, Ricardo Campor, Adam Jatowt, Sérgio Nunes
First International Workshop on Narrative Extraction from Texts: Text2Story 2018
Tutorials
Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, and Bhaskar Mitra
Neural Networks for Information Retrieval
Lynda Tamine, Lorraine Goeuriot
Tutorial on Semantic Search on Text
Krzysztof Dembczynski and Rohit Babbar
Extreme Multi-label Classification for Information Retrieval
Industry Sessions : TBD
In the meantime, you can check: