Microsoft Research Asiahttps://www.msra.cn/zh-cn/people/ming-zhou
Dr. Ming Zhou is a principal researcher and manager of the Natural Language Computing Group at Microsoft Research Asia. His research interests include next generation search engines, statistical and neural machine translation, question-answering, chatbots, computer poetry, and text mining. He has collaborated with a number of universities across the Asia-Pacific and various academy associations to advance NLP research and development. He is currently Vice-President of the Association for Computational Linguistics (ACL), Chair of the Chinese Computer Federation (CCF)'s Chinese Information Technology Committee, and an Executive Member of the Chinese Information Processing Society (CIPS).
Carnegie Mellon Universityhttp://www.cs.cmu.edu/~./yiming/
Yiming Yang is a Professor at the Language Technologies Institute and Machine Learning Department, School of Computer Science, Carnegie Mellon University. Her research has centered on statistical learning methods/algorithms and application to very-large-scale text categorization, web-mining for concept graph discovery, semi-supervised clustering, multi-task learning, novelty-based information retrieval, large-scale optimization for online advertising, social network analysis, etc. Her recent research focuses on:
This year's ICTIR will be experimenting a new format of presentation. Both long and short papers will be presented in combination of oral and poster presentations. The aim is to maximise interactions and discussions between authors and other participants. Specifically,
Long paper: 30 minutes oral presentation (25mins talk + 5mins Q/A) + poster presentation
Short paper: 20 minutes oral presentation (15mins talk + 5mins Q/A) + poster presentation
Note that for each paper, the oral presentation is compulsory, while the poster presentation is optional.
The report order for each topic can be viewed by clicked link in schedule
Tutorial 1: Unbiased Learning to Rank: Theory and Practice (Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft)
Workshop 1: The Eighth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2018)
|11:00am||11:30am||Tutorial 1 Q&A: Unbiased Learning to Rank: Theory and Practice (Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft)|
|2:00pm||3:30pm||Tutorial 2: User Interactions with Search Systems (Ying-Hsang Liu; Chang Liu; Ralf Bierig)|
|4:00pm||4:30pm||Tutorial 2 Q&A: User Interactions with Search Systems (Ying-Hsang Liu; Chang Liu; Ralf Bierig)|
Keynote: What Will Search Engines be Changed by NLP Advancements
Speaker: Prof. Ming Zhou, Microsoft Research Asia
|10:30am||12:00pm||Long Paper Session: 1. Neural IR|
Poster Session for Long Papers: 1. Neural IR
Poster Session for Long Papers: 2. Queries and Browsing
Poster Session for Short Papers: 1. AI and IR
Poster Session for Short Papers: 2. Quantum-inspired IR Models
|1:30pm||3:10pm||Short Paper Session: 1. AI and IR|
|3:30pm||5:00pm||Long Paper Session: 2. Queries and Browsing|
|5:00pm||6:00pm||Short Paper Session: 2. Quantum-inspired IR Models|
Keynote: Large-Scale Machine Learning Over Graphs
Speaker: Prof. Yiming Yang, Carnegie Mellon University
|10:30am||12:00pm||Long Paper Session: 3. Theory and Models|
Poster Session for Long Papers: 3. Theory and Models
Poster Session for Long Papers: 4. Efficiency
Poster Session for Short Papers: 3. Fusion and Evaluation
|1:30pm||3:30pm||Long Paper Session: 4. Efficiency|
|4:00pm||5:20pm||Short Paper Session: 3. Fusion and Evaluation|
|9:00am||10:30am||Long Paper Session: 5. Theory of Evaluation|
|11:00am||12:20pm||Short Paper Session: 4. Entity Retrieval and Question Answering|
Poster Session for Long Papers: 5. Theory of Evaluation
Poster Session for Long Papers: 6. Collaborative Ranking/Filtering and Recommendation
Poster Session for Short Papers: 4. Entity Retrieval and Question Answering
|2:30pm||4:00pm||Long Paper Session: 6. Collaborative Ranking/Filtering and Recommendation|
|1. Empirical Study of Multi-level Convolution Models for IR Based on Representations and Interactions||Yifan Nie, Yanling Li and Jian-Yun Nie|
|2. Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks||Daniel Cohen, Brendan O'Connor and W. Bruce Croft|
|3. Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning||Qian Yu and Wai Lam|
|1. An Extended Query Performance Prediction Framework Utilizing Passage-Level Information||Haggai Roitman|
|2. On the Equilibrium of Query Reformulation and Document Retrieval||Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang and Dell Zhang|
|3. Generating Synthetic Data for Neural Keyword-to-Question Models||Heng Ding and Krisztian Balog|
|1. Pseudo Descriptions for Meta-Data Retrieval||Tim Gollub, Erdan Genc, Nedim Lipka and Benno Stein|
|2. On the Theory of Weak Supervision for Information Retrieval||Hamed Zamani and Bruce Croft|
|3. Entity Set Expansion from Twitter||He Zhao, Feng Chong and Zhunchen Luo|
|1. MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server||Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo and Xueqi Cheng|
|2. Measuring the Effectiveness of Selective Search Index Partitions without Supervision||Yubin Kim and Jamie Callan|
|3. Beyond Greedy Search: Pruned Exhaustive Search for Diversified Result Ranking||Yingying Wu, Yiqun Liu, Fei Chen, Min Zhang and Shaoping Ma|
|4. A Vertical PRF Architecture for Microblog Search||Flavio Martins, Joao Magalhaes and Jamie Callan|
|1. Exploring Novel Measures for Characterizing Topic Quality||Sujatha Das Gollapalli and Xiaoli Li|
|2. A Formal Account of Effectiveness Evaluation and Ranking Fusion||Enrique Amigó, Fernando Giner, Stefano Mizzaro and Damiano Spina|
|3. The Broad View of Task Type Using Path Modeling||Matthew Mitsui and Chirag Shah|
|1. A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering||Oren Sar Shalom, Guy Uziel, Alexandros Karatzoglou and Amir Kantor|
|2. A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion||Mohammad Alian Nejadi, Dimitrios Rafailidis and Fabio Crestani|
|3. Attentive Contextual Denoising Autoencoder For Recommendation||Yogesh Jhamb, Travis Ebesu and Yi Fang|
|1. Entire Representation Attentive GRU for Text Representation||Guoxiu He and Wei Lu|
|2. Towards Word Embeddings for improved Duplicate Bug Report Retrieval in Software Repositories||Amar Budhiraja, Kartik Dutta, Manish Shrivastava and Y. Raghu Reddy|
|3. Levenshtein in Blocks World: String Matching via AI Planning||Xing Tan and Jimmy Huang|
|4. Multi Page Search with Reinforcement Learning to Rank||Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo and Xueqi Cheng|
|5. Multitask Learning for Query Segmentation in Job Search||Bahar Salehi, Fei Liu, Timothy Baldwin and Wilson Wong|
|1. Quantum Language Model-based Query Expansion||Qiuchi Li, Massimo Melucci and Prayag Tiwari|
|2. Binary Classification Model Inspired from Quantum Detection Theory||Emanuele Di Buccio, Qiuchi Li, Massimo Melucci and Prayag Tiwari|
|3. Investigating Irrational User Behavior in IR from Query Logs||Sagar Uprety and Dawei Song|
|1. Enhanced Performance Prediction of Fusion-based Retrieval||Haggai Roitman|
|2. Topic Set Size Design for Paired and Unpaired Data||Tetsuya Sakai|
|3. Utilizing Pseudo-Relevance Feedback in Fusion-based Retrieval||Haggai Roitman|
|4. StatBM25: An Aggregative and Statistical Approach for Document Ranking||Xing Tan, Fanghong Jian and Jimmy Huang|
|1. Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content||Xinshi Lin, Wai Lam and Kwun Ping Lai|
|2. An Adaptive Recommender System for Computational Serendipity||Xi Niu|
|3. Classifying Community QA Questions That Contain an Image||Kenta Tamaki, Riku Togashi, Sosuke Kato, Sumio Fujita, Hideyuki Maeda and Tetsuya Sakai|
|4. Exploring Diversification in Non-factoid Question Answering||Lakshmi Vikraman, W. Bruce Croft and Brendan O'Connor|
|The Eighth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2018)||Ingo Frommholtz, Haiming Liu, Ingo Schmitt, Dawei Song|
Our 2018 PhD Symposium on Future Directions in Information Access (FDIA) will be held in conjunction with the 8th International Conference on the Theory of Information Retrieval (ICTIR 2018, http://ictir2018.org) on 14th September 2018, in Tianjin, China.
In the symposium, young researchers will present and discuss their work and ideas. The symposium is complemented by a keynote given by Prof. Ingo Schmitt from BTU Cottbus-Senftenberg in Germany.
FDIA 2018 is the next chapter in a long list of previous events and the first one to be held outside Europe. The previous symposiums were held in Barcelona, Spain in 2017 (with ESSIR 2017); Thessaloniki, Greece in 2015 (with ESSIR 2015); Granada, Spain in 2013 (with ESSIR 2013); Koblenz, Germany in 2011 (with ESSIR 2011), Padova, Italy in 2009 (with ESSIR 2009); London, England in 2008, and Glasgow, Scotland in 2007 (with ESSIR 2007). They have provided an entertaining and exciting forum for early stage researchers for sharing new research ideas.
Why future directions , because we encouraged submissions that focus on early research such as pilot studies, presenting challenges and future opportunities, conceptual and theoretical work, and the contributions from doctoral work.
Why Information Access , because it captures the broader ideas of information retrieval, storage and management to include interaction and usage.
|9:00am||10:00pm||Keynote Ingo Schmitt|
|10:00am||10:30am||Amit Kumar Jaiswal: Investigating Interactive Information Retrieval via Information Foraging Theory|
|11:00am||11:30am||Guilherme Holdack: On polyrepresentation, user interaction mapping and dynamic relevance|
|11:30am||12:00pm||Zhiyu Chen: Challenges and Progress in Dataset Search|
|12:15pm||12:45pm||Prayag Tiwari: Multi-class Classification Model Inspired by Quantum Detection Theory|
|12:45pm||13:15pm||Shoaib Hayat, Yue Li and Muhammad Riaz: Automatic Recovery of Broken Links Using Information Retrieval Techniques|
|13:30pm||14:00pm||Wrap-up Discussion and Closing - Future directions in information access?|
|Unbiased Learning to Rank: Theory and Practice||Qingyao Ai; Jiaxin Mao; Yiqun Liu; W. Bruce Croft|
|User Interactions with Search Systems||Ying-Hsang Liu; Chang Liu; Ralf Bierig|
Please note that at least one author of each accepted paper must register for and attend the conference, and deliver a presentation.
Participants who register or pay after September 10th, 2018 Beijing time, if you need an invoice, we will send it out after the conference.
|Early Registration (Main Programme only) （Deadline: 31 July 2018）||
About USD $ 580
About USD $ 700
About USD $ 360
|Normal Registration (Main Programme only) （Deadline: 30 August 2018）||
About USD $680
About USD $800
About USD $460
|Late Registration (Main Programme only)（From 1 September 2018 onwards and onsite）||
About USD $800
About USD $900
About USD $560
About USD $100
About USD $150
About USD $80
|Early Registration (All inclusive) （Deadline: 31 July 2018）||
About USD $630
About USD $770
About USD $390
|Normal Registration (All inclusive) （Deadline: 30 August 2018）||
About USD $730
About USD $870
About USD $490
|Late Registration (All inclusive)（From 1 September 2018 onwards and onsite）||
About USD $850
About USD $970
About USD $590
1. All participants need to register via the registration link follow.
2. The registration link can help you register and pay the fees
3. If you need pay the fees by bank transfer, you still need register via the registration link except for online payment.
Any question about registration and payment, please contact:
Ms. Yu SHEN
China International Conference Center for Science and Technology (CICCST)
Address: No. 86 Xueyuan Nanlu, Beijing 100081, P. R. China
Any question about visa please contact:
Ms. Wenjiao Chen
China International Conference Center for Science and Technology (CICCST)
Address: No. 86 Xueyuan Nanlu, Beijing 100081, P. R. China
Passports, valid for at least 3 months from the entry into China, and entry visas are required to visit China. Participants are advised to consult the nearest Chinese diplomatic mission for details. A single entry visa is valid for three months, and can be extended for an additional month at the Foreigners Section of the Local Public Security Bureau if necessary. Once in China, the participants are advised to carry their passports on them at all times because the passports may be needed to check into hotels, book airline tickets, and change money. Participants from Japan, Singapore within 15 days do not need to apply visa to entry China. For most attendees, it is easier to apply for a Tourist ("L") visa; an invitation letter is NOT required for obtaining a Tourist visa. If some participants need type ("F") of visa that does require an invitation letter, the ICTIR2018 local arrangement committee will be glad to help. To apply for visas, participants should first fill out the registration form with the appropriate registration fee. The Conference Secretariat will then send a formal invitation form via email or fax with which the participants can apply for a visa at the Chinese diplomatic mission indicated in the invitation. This application should be made preferably at least one month before departure for China. Alternatively, participants may ask their travel agents to arrange their travel to China and obtain a tourist visa irrespective of whether or not they have registered with the Conference Secretariat. If participants have any difficulties in obtaining their visa, they should contact the Conference Secretariat.
Requests for registration cancellation must be made in writing and emailed to Yshen@ciccst.org.cn.
Requests received during the early registration period will be eligible for a 100% refund; during the regular registration period will be eligible for a 50% refund; and during or after the late registration period no refund will be possible (except in cases of visa denial, below).
All refunds are likely to be processed after the end of the event.
If you are cancelling because you were denied a visa and you applied for your visa on or before August 31, 2018, we will refund your registration fees even after the cancellation deadline. Such refund requests must be received within one week of conference closing with accompanying documents showing visa denial. Applying for a visa after the above deadline and not getting an answer in time does not qualify you for a late refund.
At least one author of each accepted paper (of any type) is required to attend the event and present the paper: no request of cancellation will be honored unless another co-author is registered for the event.
The ACM SIGIR Student Travel Grants Program offers financial supports to eligible student authors of accepted ICTIR2018 papers. For a student to be eligible, he or she must meet one of two criteria:
The application process involves two steps:
Both application forms will be available here (http://sigir.org/general-information/travel-grants/). The application period is June 29 to July 16, 2018. Both student and academic advisor forms must be submitted before the end of the application period.
ICTIR 2018 will be held in Tianjin Westin Hotel, Tianjin, China. The participants need to book hotel by yourself. For convenience, we provide a list of the venue hotel and surrounding hotels for your reference.
The Westin Hotel, Tianjin (ICTIR 2018 will be held in)
Tel: (86)(22) 2389 0088
Address: 101 Nanjing Road, Heping District, Tianjin, Tianjin China
The Four Seasons Hotel, Tianjin
Distance to the venue: 0.8km, 距离会场: 0.8公里
Tel: (86)(22) 2716 6688
Fax: (86)(22) 2716 6699
Address: 138 Chifeng Road, 300041 Heping District, Tianjin, China
Homeinn plus, Nanjing Road, Xiaobai Lou, Tianjin
Distance to the venue: 1.0km, 距离会场: 1.0公里
Tel: (86)(22) 58190000
Address: 59 Nanjing Road, Heping District, Tianjin, China
地址: 中国天津市和平区南京路59号(公安医院斜对过) 如家精选酒店(南京路小白楼地铁站店)
|An Extended Query Performance Prediction Framework Utilizing Passage-Level Information||Haggai Roitman|
|A Vertical PRF Architecture for Microblog Search||Flavio Martins, Joao Magalhaes and Jamie Callan|
|Beyond Greedy Search: Pruned Exhaustive Search for Diversified Result Ranking||Yingying Wu, Yiqun Liu, Fei Chen, Min Zhang and Shaoping Ma|
|Enhanced Performance Prediction of Fusion-based Retrieval||Haggai Roitman|
|Multitask Learning for Query Segmentation in Job Search||Bahar Salehi, Fei Liu, Timothy Baldwin and Wilson Wong|
|Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content||Xinshi Lin, Wai Lam and Kwun Ping Lai|