The Twenty-Fifth Text REtrieval Conference
(TREC 2016) Proceedings

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NOTE: The following proceedings papers are in .pdf format

Index of TREC 2016 Papers by Track


Clinical Decision Support
[
Contextual Suggestion] [Dynamic Domain] [OpenSearch] [LiveQA] [Real-time Summarization] [Total Recall] [Tasks]
  • PDF file Overview of the TREC 2016 Clinical Decision Support Track
    Kirk Roberts - The University of Texas Health Science Center
    Dina Demner-Fushman - U.S. National Library of Medicine
    Ellen M. Voorhees - National Institute of Standards and Technology
    William R. Hersh - Oregon Health and Science University

  • PDF file [cbnu] CBNU at TREC 2016 Clinical Decision Support Track
    Seung-Hyeon Jo and Kyung-Soon Lee - Chonbuk National University

  • PDF file [CCNU2016TREC] CCNU at TREC 2016 Clinical Decision Support Track
    Yue Zhang, Po Hu and Fanghong Jian - Central China Normal University

  • PDF file [CSIROmed] CSIRO at TREC Clinical Decision Support Track
    Sarvnaz Karimi, Sara Falamaki and Vincent Nguyen - Data61, CSIRO

  • PDF file [DA_IICT] Team DA IICT at Clinical Decision Support Track in TREC 2016: Topic Modeling for Query Expansion
    Jainisha Sankhavara and Prasenjit Majumder - Dhirubhai Ambani Institute of Information and Communication Technology

  • PDF file [DUTH] Augmenting Medical Queries with UMLS Concepts via MetaMap
    Christopher Agrafiotes and Avi Arampatzis - Database and Information Retrieval Research Unit, Department of Electrical and Computer Engineering, Democritus University of Thrace

  • PDF file [ECNU] ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval
    Hongyu Liu, Yang Song, Yun He, Yueyao Wang, Qinmin Hu and Liang He - Shanghai Key Laboratory of Multidimensional Information Processing
    Hongyu Liu, Yang Song, Yun He, Yueyao Wang, Qinmin Hu and Liang He - Department of Computer Science and Technology, East China Normal University

  • PDF file [ETH] ETH Zurich at TREC Clinical Decision Support 2016
    Simon Greuter, Philip Junker, Lorenz Kuhn, Felix Mance, Virgile Mermet, Angela Rellstab and Carsten Eickhoff - Department of Computer Science, ETH Zurich

  • PDF file [HAUT] Literature based Clinical Decision Support: Searching Articles According to Medical Needs
    Baoli Li - Department of Computer Science, Henan University of Technology
    Jikang Xiao, Shigen Jiang, Zhen Wang, Haoqi Ding and Yaojun Niu - Cognitive Computing Group

  • PDF file [IAII_PUT] PUT Contribution to TREC CDS 2016
    Jakub Dutkiewicz, Czesław Jędrzejek, Michał Frąckowiak and Paweł Werda - Poznan University of Technology

  • PDF file [iris] Query Expansion with Automatically Predicted Diagnosis: iRiS at TREC CDS track 2016
    Danchen Zhang, Daqing He, Sanqiang Zhao, and Lei Li - University of Pittsburgh

  • PDF file [IRIT] IRIT @ TREC 2016 Clinical Decision Support Track
    Gia-Hung Nguyen, Lynda Tamine and Nathalie Bricon-Souf - IRIT, Université de Toulouse
    Laure Soulier - Sorbonne Universités

  • PDF file [MayoNLPTeam] An Ensemble Model of Clinical Information Extraction and Information Retrieval for Clinical Decision Support
    Yanshan Wang, Majid Rastegar-Mojarad, Ravikumar Komandur-Elayavilli, Sijia Liu and Hongfang Liu - Department of Health Sciences Research, Mayo Clinic

  • PDF file [MERCKKGAA] Semi-Supervised Information Retrieval System for Clinical Decision Support
    Harsha Gurulingappa, Luca Toldo and Claudia Schepers - Merck KGaA
    Alexander Bauer - Cognizant Technology Solutions
    Gerard Megaro - EMD Millipore Corporation

  • PDF file [nch_risi] Evaluation of a Machine Learning Method to Rank PubMed Central Articles For Clinical Relevancy: NCH at TREC 2016 Clinical Decision Support Track
    Wei Chen, Soheil Moosavinasab, Steve Rust, Yungui Huang and Simon Lin - Department of Research Information Solutions and Innovation, The Research Institute at Nationwide Children's Hospital
    Anna Zemke and Ariana Prinzbach - College of Medicine, The Ohio State University

  • PDF file [NKU] NKU at TREC 2016: Clinical Decision Support Track
    Hualong Zhang and Liting Liu - Intelligent Information Processing Lab, NanKai University

  • PDF file [NLM_NIH] NLM NIH at TREC 2016 Clinical Decision Support Track
    Asma Ben Abacha - U.S. National Library of Medicine, MD

  • PDF file [prna] Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph
    Sadid A. Hasan, Siyuan Zhao, Vivek Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Aaditya Prakash and Oladimeji Farri - Artificial Intelligence Laboratory, Philips Research North America

  • PDF file [SCIAICLTeam] Siena's Clinical Decision Assistant with Machine Learning
    Brendan Kish, Thomas Walsh, Katherine Small, Steven Gassert, Kylie Small and Sharon Gower Small - Siena College Institute for Artificial Intelligence

  • PDF file [udel_fang] Extracting Useful Information from Clinical Notes
    Yue Wang and Hui Fang - Department of Electrical and Computer Engineering, University of Delaware

  • PDF file [UNTIIA] UNT MEDICAL INFORMATION RETRIEVAL AT TREC 2016
    Lokesh Kumar Viswavarapu - Intelligent Information Access Laboratory, College of Information - Department of Electrical Engineering, College of Engineering - University of North Texas
    Jiangping Chen, Ana Cleveland and Jodi Philbrick - Department of Information Science, College of Information - University of North Texas

  • PDF file [WHUIRGroup] WHUIRGroup at TREC 2016 Clinical Decision Support Task
    Ruixue Wang, Heng Ding and Wei Lu - Wuhan University


  • Contextual Suggestion
    [
    Clinical Decision Support] [Dynamic Domain] [OpenSearch] [LiveQA] [Real-time Summarization] [Total Recall] [Tasks]
  • PDF file Overview of the TREC 2016 Contextual Suggestion Track
    Seyyed Hadi Hashemi, Jaap Kamps and Julia Kiseleva - University of Amsterdam
    Charles L.A. Clarke - University of Waterloo
    Ellen M. Voorhees - National Institute of Standards and Technology

  • PDF file [ADAPT_TCD] ADAPT_TCD: An Ontology-Based Context Aware Approach for Contextual Suggestion
    Mostafa Bayomi and Séamus Lawless - ADAPT Centre, Trinity College Dublin

  • PDF file [bupt_pris_2016] Beijing University of Posts and Telecommunications(BUPT) at TREC 2016: A Rating Model Based on Tags for ABSTRACT Contextual Suggestion
    Danping Yin, Siyuan Gao, Zonghui Peng, Yameng Li and Ruifang Liu - PRIS Lab, Beijing University of Posts and Telecommunications

  • PDF file [DPLAB_IITBHU] Employing open-web for Contextual Suggestion using tag-tag similarity
    Sainyam Kapoor, Manajit Chakraborty and C. Ravindranath Chowdary - Department of Computer Science and Engineering, Indian Institute of Technology (BHU)

  • PDF file [DUTH] Recommending Points-of-Interest via Weighted kNN, Rated Rocchio, and Borda Count Fusion
    Georgios Kalamatianos and Avi Arampatzis - Database and Information Retrieval Research Unit, Department of Electrical and Computer Engineering, Democritus University of Thrace

  • PDF file [ExPoSe] Significant Words Language Models for Contextual Suggestion
    Mostafa Dehghani and Jaap Kamps - Institute for Logic, University of Amsterdam
    Hosein Azarbonyad and Maarten Marx - Informatics Institute, University of Amsterdam

  • PDF file [FUM-IRLAB] A Context Based Recommender System through Collaborative Filtering and Word Embedding Techniques
    Mahsa Khorasani, Hamid Sadjadi, Faezeh Ramazani and Faezeh Ensan

  • PDF file [LavalLakehead] Word embeddings and Global Preference for Contextual Suggestion
    Jian Mo, Luc Lamontagne and Richard Khoury - Laval University

  • PDF file [SCIAICLTeam] Siena College's Institute of Artificial Intelligence TREC 2016 Contextual Suggestion Track
    Tristan Canova, Daniel Carpenter, Kevin Danaher, Neil Devine, Darren Lim - Siena College

  • PDF file [Uamsterdam] Neural Endorsement Based Contextual Suggestion
    Seyyed Hadi Hashemi and Jaap Kamps - University of Amsterdam
    Nawal Ould Amer - University of Grenoble

  • PDF file [uogTr] University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions
    Jarana Manotumruksa, Craig Macdonald and Iadh Ounis - University of Glasgow

  • PDF file [USI] Venue Appropriateness Prediction for Contextual Suggestion
    Mohammad Aliannejadi, Ida Mele, and Fabio Crestani - Universita della Svizzera Italiana (USI)


  • Dynamic Domain
    [
    Clinical Decision Support] [Contextual Suggestion] [OpenSearch] [LiveQA] [Real-time Summarization] [Total Recall] [Tasks]
  • PDF file TREC 2016 Dynamic Domain Track Overview
    Grace Hui Yang - Georgetown University
    Ian Soboroff - National Institute of Standards and Technology

  • PDF file [georgetown] An Investigation of Basic Retrieval Models for the Dynamic Domain Task
    Razieh Rahimi and Grace Hui Yang - Georgetown University

  • PDF file [LavalLakehead] Laval University at TREC Dynamic Domain 2016: Subtopic extraction focused on Named Entities
    Robin Joganah, Richard Khoury and Luc Lamontagne - Université Laval

  • PDF file [RMIT] RMIT @ TREC 2016 Dynamic Domain Track: Exploiting Passage Representation for Retrieval and Relevance Feedback
    Ameer Albahem, Damiano Spina, Lawrence Cavedon and Falk Scholer - RMIT University

  • PDF file [ufmg] UFMG at the TREC 2016 Dynamic Domain track
    Felipe Moraes, Rodrygo L. T. Santos and Nivio Ziviani - Department of Computer Science, Universidade Federal de Minas Gerais
    Nivio Ziviani - Kunumi

  • PDF file [UPD_IA] Evaluation of a Feedback Algorithm inspired by Quantum Detection for Dynamic Search Tasks
    Emanuele Di Buccio and Massimo Melucci - University of Padua


  • OpenSearch
    [
    Clinical Decision Support] [Contextual Suggestion] [Dynamic Domain] [LiveQA] [Real-time Summarization] [Total Recall] [Tasks]
  • PDF file [BJUT] BJUT at TREC 2016 OpenSearch Track: Search Ranking Based on Clickthrough Data
    Cheng Li and Zhen Yang - Beijing University of Technology
    David Lillis - Beijing University of Technology and University College Dublin

  • PDF file [IR-IITBHU] IR-IITBHU at TREC 2016 Open Search Track: Retrieving documents using Divergence From Randomness model in Terrier
    Mitodru Niyogi - Government College of Engineering and Ceramic Technology
    Sukomal Pal - Indian Institute of Technology (BHU)

  • PDF file [THKoeln-GESIS] Popularity Ranking for Scientific Literature Using the Characteristic Scores and Scale Method
    Philipp Schaer - TH Köln (University of Applied Sciences)
    Narges Tavakolpoursaleh - GESIS --- Leibniz Institute for the Social Sciences

  • PDF file [Webis] Webis at TREC 2016: Tasks, Total Recall, and Open Search Tracks
    Matthias Hagen, Johannes Kiesel, Payam Adineh, Masoud Alahyari, Ehsan Fatehifar, Arefeh Bahrami, Pia Fichtl and Benno Stein - Bauhaus-Universität Weimar


  • LiveQA
    [
    Clinical Decision Support] [Contextual Suggestion] [Dynamic Domain] [OpenSearch] [Real-time Summarization] [Total Recall] [Tasks]
  • PDF file Overview of the TREC 2016 LiveQA Track
    Eugene Agichtein - Emory University
    David Carmel, Dan Pelleg, Yuval Pinter - Yahoo Research, Haifa
    Donna Harman - National Institute of Standards and Technology

  • PDF file [AKSW] Answering Live Questions from Heterogeneous Data Sources: SMART in Live QA at TREC2016
    Edgard Marx and Sandro Coelho - University of Leipzig

  • PDF file [BJUT] BJUT at TREC 2016: LiveQA Track
    Youjun E, Weitong Chen and Zhen Yang - Beijing University of Technology

  • PDF file [CLIP] CLIP at TREC 2016: LiveQA and RTS
    Mossaab Bagdouri and Douglas W. Oard - University of Maryland

  • PDF file [CMU-OAQA] CMU OAQA at TREC 2016 LiveQA: An Attentional Neural Encoder-Decoder Approach for Answer Ranking
    Di Wang and Eric Nyberg - Carnegie Mellon University

  • PDF file [ECNU] ECNU at 2016 LiveQA Track: A Parameter Sharing Long Short Term Memory Model for Learning Question Similarity
    Weijie An, Mengfei Shi, Xin Ouyang, Yan Yang, Qinmin Hu, and Liang He - Department of Computer Science and Technology, East China Normal University

  • PDF file [EmoryIrLab] Emory University at TREC LiveQA 2016: Combining Crowdsourcing and Learning-To-Rank Approaches for Real-Time Complex Question Answering
    Denis Savenkov and Eugene Agichtein - Emory University

  • PDF file [IR.SFSU.2016] San Francisco State University at LiveQA Track of TREC 2016
    Maria Khvalchik and Anagha Kulkarni - San Francisco State University

  • PDF file [JBC-TREC2016] University of Texas Rio Grande Valley TREC LiveQA 2016: Using Topic Modeling to Answer Complex Questions
    Josue Balandrano Coronel - University of Texas Rio Grande Valley

  • PDF file [prna] Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity
    Vivek Datla, Sadid A. Hasan, Joey Liu, Yassine Benajiba, Kathy Lee, Ashequl Qadir, Aaditya Prakash and Oladimeji Farri - Artificial Intelligence Laboratory, Philips Research North America

  • PDF file [QU] Real, Live, and Concise: Answering Open-Domain Questions with Word Embedding and Summarization
    Rana Malhas, Marwan Torki, Rahma Ali and Tamer Elsayed - Qatar University
    Evi Yulianti - RMIT University

  • PDF file [RMIT] RMIT at the TREC 2016 LiveQA Track
    Joel Mackenzie, Ruey-Cheng Chen and J. Shane Culpepper - RMIT University


  • Real-time Summarization
    [
    Clinical Decision Support] [Contextual Suggestion] [Dynamic Domain] [OpenSearch] [LiveQA] [Total Recall] [Tasks]
  • PDF file Overview of the TREC 2016 Real-Time Summarization Track
    Jimmy Lin, Adam Roegiest and Luchen Tan - University of Waterloo
    Richard McCreadie - University of Glasgow
    Ellen Voorhees - National Institute of Standards and Technology
    Fernando Diaz - Microsoft Research

  • PDF file [BJUT] BJUT at TREC 2016: Real-Time Summarization Track
    Kai Wang and Zhen Yang - Beijing University of Technology

  • PDF file [CCNU2016NLP] CCNU at TREC 2016 Real-Time Summarization Track
    Chao Bei and Po Hu - Central China Normal University

  • PDF file [CLIP] CLIP at TREC 2016: LiveQA and RTS
    Mossaab Bagdouri and Douglas W. Oard - University of Maryland

  • PDF file [COMP2016] PolyU at TREC 2016 Real-Time Summarization
    Haihui Tan, Dajun Luo and Wenjie Li - Polytechnic University

  • PDF file [HLJIT] HLJIT at TREC 2016: The Approaches Based on Document Language Model for Real-Time Summarization Track
    Song Li, Zhenyuan Hao, Zhongyuan Han, Leilei Kong and Haoliang Qi - School of Computer Science and Technology, Heilongjiang Institute of Technology
    Song Li and Leilei Kong - College of Information and Communication Engineering, Harbin Engineering University

  • PDF file [IRIT] IRIT at TREC Real Time Summarization 2016
    Bilel Moulahi, Lamjed Ben Jabeur, Abdelhamid Chellal, Thomas Palmer, Lynda Tamine, Mohand Boughanem, Karen Pinel-Sauvagnat, and Gilles Hubert - Université de Toulouse UPS-IRIT

  • PDF file [IRLAB_DA-IICT] DAIICT at TREC RTS 2016: Live Push Notification and Email Digest
    Sandip Modha, Krati Agrawal, Deepali Verma and Prasenjit Majumder - DAIICT
    Chintak Mandalia - LDRP

  • PDF file [PKUICST] PKUICST at TREC 2016 Real-Time Summarization Track: Push Notifications and Email Digest
    Lili Yao, Chao Lv, Feifan Fan, Jianwu Yang and Dongyan Zhao - Peking University

  • PDF file [prna] Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification
    Kathy Lee, Ashequl Qadir, Vivek Datla, Sadid A. Hasan, Joey Liu, Aaditya Prakash and Oladimeji Farri - Artificial Intelligence Laboratory, Philips Research North America

  • PDF file [QU] Light-weight, Conservative, yet Effective: Scalable Real-time Tweet Summarization
    Reem Suwaileh, Maram Hasanain and Tamer Elsayed - Qatar University

  • PDF file [udel_fang] Query Performance Prediction and Topic Shift in Microblog Retrieval
    Kuang Lu and Hui Fang - University of Delaware


  • Total Recall
    [
    Clinical Decision Support] [Contextual Suggestion] [Dynamic Domain] [OpenSearch] [LiveQA] [Real-time Summarization] [Tasks]
  • PDF file TREC 2016 Total Recall Track Overview
    Maura R. Grossman, Gordon V. Cormack and Adam Roegiest - University of Waterloo

  • PDF file [catres] An Exploration of Total Recall with Multiple Manual Seedings
    Jeremy Pickens, Tom Gricks, Bayu Hardi, Mark Noel and John Tredennick - Catalyst Repository Systems

  • PDF file [e-discoveryteam] TREC 2016 Total Recall Track
    Ralph Losey, National e-Discovery Counsel, Jackson Lewis P.C. and e-DiscoveryTeam.com
    Jim Sullivan, Tony Reichenberger, Levi Kuehn and Jani Grant - Sr. Discovery Services Consultants, Kroll Ontrack, Inc. and eDiscovery.com

  • PDF file [ims_unipd] The University of Padua (IMS) at TREC 2016 Total Recall Track
    Giorgio Maria Di Nunzio, Maria Maistro, and Daniel Zilio - University of Padua

  • PDF file [IR.SFSU.2016] San Francisco State University (SFSU) at Total Recall Track of TREC 2016
    Mon-Shih Chuang and Anagha Kulkarni - San Francisco State University

  • PDF file [WaterlooCormack] "When to Stop" Waterloo (Cormack) Participation in the TREC 2016 Total Recall Track
    Gordon V. Cormack, Maura R. Grossman - University of Waterloo

  • PDF file [Webis] Webis at TREC 2016: Tasks, Total Recall, and Open Search Tracks
    Matthias Hagen, Johannes Kiesel, Payam Adineh, Masoud Alahyari, Ehsan Fatehifar, Arefeh Bahrami, Pia Fichtl and Benno Stein - Bauhaus-Universität Weimar


  • Tasks
    [
    Clinical Decision Support] [Contextual Suggestion] [Dynamic Domain] [OpenSearch] [LiveQA] [Real-time Summarization] [Total Recall]
  • PDF file Overview of the TREC Tasks Track 2016
    Manisha Verma, Emine Yilmaz and Rishabh Mehrotra - University College London
    Evangelos Kanoulas - University of Amsterdam
    Ben Carterette - University of Delaware
    Nick Craswell and Peter Bailey - Microsoft

  • PDF file [UiS] The University of Stavanger at the TREC 2016 Tasks Track
    Darío Garigliotti and Krisztian Balog - University of Stavanger

  • PDF file [Webis] Webis at TREC 2016: Tasks, Total Recall, and Open Search Tracks
    Matthias Hagen, Johannes Kiesel, Payam Adineh, Masoud Alahyari, Ehsan Fatehifar, Arefeh Bahrami, Pia Fichtl and Benno Stein - Bauhaus-Universität Weimar



  • Last updated: Tuesday, 29-Aug-2017 13:25:05 MDT
    Date created: February 16, 2017
    trec@nist.gov