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Our "Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching" has been accepted to #WSDM2019. Joint work with amazing collaborators, Feng Ji, QIU Minghui, @liuyangumass, Zhiyu Min, 啦啦啦啦啦, Jun Huang, and Bruce Croft, from Alibaba, UMass Amherst and CMU.

Have you worked on matching problems in search and recommendation? Have you tried to solve your problems with deep neural networks? If so, it's about time to share your ideas and experiences by submitting a paper to our WSDM'19 workshop on Deep Matching in Practical Application!

Our paper “Understanding Mobile Search Task Relevance and User Behaviour in Context” accepted as full paper at #CHIIR2019 ACM CHIIR 2026 w/ Morgan Harvey, Luca Costa, Matthew Pointon and Fabio Crestani

Our paper "User Intent Prediction in Information-seeking Conversations" has been accepted as full paper at ACM CHIIR 2026 #CHIIR2019, with @liuyangumass , Bruce Croft , @EvisonZhang , Johanne , and QIU Minghui !

Our paper "Answer Interaction in Non-factoid Question Answering Systems" has been accepted as a short paper at ACM CHIIR 2026 #CHIIR2019, with @liuyangumass , Bruce Croft , Falk Scholer, and @EvisonZhang !

This is a great ranking library that supports the optimization of multiple ranking metrics, unbiased learning to rank, and our recent paper on Groupwise Scoring Functions (arxiv.org/abs/1811.04415) published in the 1st WSDM Workshop on Deep Matching in Practical Applications. .

Our short paper "History Modeling for Conversational Question Answering", with @liuyangumass , QIU Minghui , Bruce Croft , @EvisonZhang , and Mohit Iyyer , accepted by #sigir2019 !

The ANTIQUE dataset, a non-factoid question answering dataset based on CQA data, with 34k manual judgments is now online! With Mohammad Aliannejadi Hamed Zamani Bruce Croft Link to the dataset: ciir.cs.umass.edu/downloads/Anti… Link to the paper: arxiv.org/abs/1905.08957

Our paper "Performance Prediction for Non-Factoid Question Answering" has been accepted in ICTIR 2019, with Hamed Zamani, and Bruce Croft.

Our paper on Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks has been accepted in ICTIR 2019! Xuanhui Wang, @ SebastianBruch, Nadav Golbandi Michael Bendersky Marc Najork The model can be found in the official TensorFlow github. github.com/tensorflow/ran…

"Attentive History Selection for Conversational Question Answering" accepted to #CIKM2019 as a full paper w/ @liuyangumass QIU Minghui @EvisonZhang Cen Chen Bruce Croft and Mohit Iyyer

"A Hybrid Retrieval-Generation Neural Conversation Model" accepted to #CIKM2019 as a full paper with Junjie Hu, QIU Minghui Chen Qu Jianfeng Gao Bruce Croft Xiaodong Liu ,Yelong Shen and Jingjing Liu

"Open-Retrieval Conversational Question Answering" accepted to #SIGIR2020 as a full paper w/ @liuyangumass Cen Chen QIU Minghui Bruce Croft Mohit Iyyer

Thank you, Bruce Bruce Croft and Mohit Mohit Iyyer for advising my synthesis, and my collaborators, including @liuyangumass, for their help on this project!

Congratulations, Bruce! Such a well deserved honor!

"Citation Worthiness of Sentences in Scientific Reports" accepted as a short paper ACM SIGIR 2018 w/ Hamed R. Bonab, Erik Learned-Miller, and James Allan #SIGIR2018

"Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems" accepted as a Full Paper by #SIGIR2018 with Bruce Croft Jiafeng Guo QIU Minghui Chen Qu @EvisonZhang

Preprint of our #SIGIR2018 full paper with minghui Chen Qu Jiafeng Guo Bruce Croft @EvisonZhang Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems is available at arxiv.org/pdf/1805.00188… Code: github.com/yangliuy/Neura…

Preprint of our #SIGIR2018 short paper with Chen Qu Bruce Croft Johanne @EvisonZhang QIU Minghui Analyzing and Characterizing User Intent in Information-seeking Conversations is available at arxiv.org/pdf/1804.08759…

Some statistics from ACM SIGIR 2018 accepted papers, e.g., top institutes and authors (based on # of papers) see: hamedz.ir/blog/2018/sigi… Highlights: Top institute: Microsoft (all papers) & NUS (only full) Top author: Bruce Croft (all and full) & Xiangnan He (only full) #SIGIR2018