Text REtrieval Conference, TREC 2016


Title/Authors Title Research Artifacts
[?] A research artifact is any by-product of a research project that is not directly included in the published research paper. In Computer Science research this is often source code and data sets, but it could also be media, documentation, inputs to proof assistants, shell-scripts to run experiments, etc.
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Popularity Ranking for Scientific Literature Using the Characteristic Scores and Scale Method

Philipp Schaer, Narges Tavakolpoursaleh

Popularity Ranking for Scientific Literature Using the Characteristic Scores and Scale Method

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University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions

Jarana Manotumruksa, Craig MacDonald, Iadh Ounis

University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions

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Venue Appropriateness Prediction for Contextual Suggestion

Mohammad Aliannejadi, Ida Mele, Fabio Crestani

Venue Appropriateness Prediction for Contextual Suggestion

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BJUT at TREC 2016 OpenSearch Track: Search Ranking Based on Clickthrough Data

Cheng Li, Zhen Yang, David Lillis

BJUT at TREC 2016 OpenSearch Track: Search Ranking Based on Clickthrough Data

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NKU at TREC 2016: Clinical Decision Support Track

Hualong Zhang, Liting Liu

NKU at TREC 2016: Clinical Decision Support Track

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UNT Medical Information Retrieval at TREC 2016

Lokesh Kumar Viswavarapu, Jiangping Chen, Ana D. Cleveland, Jodi Philbrick

UNT Medical Information Retrieval at TREC 2016

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TREC 2016 Total Recall Track

Ralph Losey, Jackson Lewis P. C., Jim Sullivan, Tony Reichenberger, Levi Kuehn, Jani Grant

TREC 2016 Total Recall Track

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Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph

Sadid A. Hasan, Siyuan Zhao, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Aaditya Prakash, Oladimeji Farri

Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph

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Augmenting Medical Queries with UMLS Concepts via MetaMap

Christopher Agrafiotes, Avi Arampatzis

Augmenting Medical Queries with UMLS Concepts via MetaMap

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The University of Stavanger at the TREC 2016 Tasks Track

Darío Garigliotti, Krisztian Balog

The University of Stavanger at the TREC 2016 Tasks Track

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PUT Contribution to TREC CDS 2016

Jakub Dutkiewicz, Czeslaw Jedrzejek, Michal Frackowiak, Pawel Werda

PUT Contribution to TREC CDS 2016

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Author Comments: The article was before the time that we did not document results on github. We mostly do it recently.
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Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification

Kathy Lee, Ashequl Qadir, Vivek V. Datla, Sadid A. Hasan, Joey Liu, Aaditya Prakash, Oladimeji Farri

Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification

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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, Simon M. Lin, Anna Zemke, Ariana Prinzbach

Evaluation of a Machine Learning Method to Rank PubMed Central Articles For Clinical Relevancy: NCH at TREC 2016 Clinical Decision Support Track

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BJUT at TREC 2016: Real-Time Summarization Track

Kai Wang, Zhen Yang

BJUT at TREC 2016: Real-Time Summarization Track

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PKUICST at TREC 2016 Real-Time Summarization Track: Push Notifications and Email Digest

Lili Yao, Chao Lv, Feifan Fan, Jianwu Yang, Dongyan Zhao

PKUICST at TREC 2016 Real-Time Summarization Track: Push Notifications and Email Digest

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CCNU at TREC 2016 Real-Time Summarization Track

Chao Bei, Po Hu

CCNU at TREC 2016 Real-Time Summarization Track

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Laval University at TREC Dynamic Domain 2016: Subtopic extraction focused on Named Entities

Robin Joganah, Richard Khoury, Luc Lamontagne

Laval University at TREC Dynamic Domain 2016: Subtopic extraction focused on Named Entities

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ADAPT_TCD: An Ontology-Based Context Aware Approach for Contextual Suggestion

Mostafa Bayomi, Séamus Lawless

ADAPT_TCD: An Ontology-Based Context Aware Approach for Contextual Suggestion

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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, Liang He

ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval

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An Investigation of Basic Retrieval Models for the Dynamic Domain Task

Razieh Rahimi, Grace Hui Yang

An Investigation of Basic Retrieval Models for the Dynamic Domain Task

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CCNU at TREC 2016 Clinical Decision Support Track

Yue Zhang, Po Hu, Fanghong Jian

CCNU at TREC 2016 Clinical Decision Support Track

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A Context Based Recommender System through Collaborative Filtering and Word Embedding Techniques

Mahsa Khorasani, Hamid Sadjadi, Faezeh Ramazani, Faezeh Ensan

A Context Based Recommender System through Collaborative Filtering and Word Embedding Techniques

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Real, Live, and Concise: Answering Open-Domain Questions with Word Embedding and Summarization

Rana Malhas, Marwan Torki, Rahma Ali, Tamer Elsayed, Evi Yulianti

Real, Live, and Concise: Answering Open-Domain Questions with Word Embedding and Summarization

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San Francisco State University at LiveQA Track of TREC 2016

Maria Khvalchik, Anagha Kulkarni

San Francisco State University at LiveQA Track of TREC 2016

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Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity

Vivek V. Datla, Sadid A. Hasan, Joey Liu, Yassine Benajiba, Kathy Lee, Ashequl Qadir, Aaditya Prakash, Oladimeji Farri

Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity

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BJUT at TREC 2016: LiveQA Track

Youjun E, Weitong Chen, Zhen Yang

BJUT at TREC 2016: LiveQA Track

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CBNU at TREC 2016 Clinical Decision Support Track

Seung-Hyeon Jo, Kyung-Soon Lee

CBNU at TREC 2016 Clinical Decision Support Track

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Significant Words Language Models for Contextual Suggestion

Mostafa Dehghani, Jaap Kamps, Hosein Azarbonyad, Maarten Marx

Significant Words Language Models for Contextual Suggestion

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RMIT @ TREC 2016 Dynamic Domain Track: Exploiting Passage Representation for Retrieval and Relevance Feedback

Ameer Albahem, Damiano Spina, Lawrence Cavedon, Falk Scholer

RMIT @ TREC 2016 Dynamic Domain Track: Exploiting Passage Representation for Retrieval and Relevance Feedback

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PolyU at TREC 2016 Real-Time Summarization

Haihui Tan, Dajun Luo, Wenjie Li

PolyU at TREC 2016 Real-Time Summarization

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ETH Zurich at TREC Clinical Decision Support 2016

Simon Greuter, Philip Junker, Lorenz Kuhn, Felix Mance, Virgile Mermet, Angela Rellstab, Carsten Eickhoff

ETH Zurich at TREC Clinical Decision Support 2016

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Emory University at TREC LiveQA 2016: Combining Crowdsourcing and Learning-To-Rank Approaches for Real-Time Complex Question Answering

Denis Savenkov, Eugene Agichtein

Emory University at TREC LiveQA 2016: Combining Crowdsourcing and Learning-To-Rank Approaches for Real-Time Complex Question Answering

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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, Benno Stein

Webis at TREC 2016: Tasks, Total Recall, and Open Search Tracks

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Employing open-web for Contextual Suggestion using tag-tag similarity

Sainyam Kapoor, Manajit Chakraborty, C. Ravindranath Chowdary

Employing open-web for Contextual Suggestion using tag-tag similarity

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Extracting Useful Information from Clinical Notes

Yue Wang, Hui Fang

Extracting Useful Information from Clinical Notes

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An Exploration of Total Recall with Multiple Manual Seedings

Jeremy Pickens, Tom Gricks, Bayu Hardi, Mark Noel, John Tredennick

An Exploration of Total Recall with Multiple Manual Seedings

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Semi-Supervised Information Retrieval System for Clinical Decision Support

Harsha Gurulingappa, Luca Toldo, Claudia Schepers, Alexander Bauer, Gerard Megaro

Semi-Supervised Information Retrieval System for Clinical Decision Support

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Literature based Clinical Decision Support: Searching Articles According to Medical Needs

Baoli Li, Jikang Xiao, Shigen Jiang, Zhen Wang, Haoqi Ding, Yaojun Niu

Literature based Clinical Decision Support: Searching Articles According to Medical Needs

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CMU OAQA at TREC 2016 LiveQA: An Attentional Neural Encoder-Decoder Approach for Answer Ranking

Di Wang, Eric Nyberg

CMU OAQA at TREC 2016 LiveQA: An Attentional Neural Encoder-Decoder Approach for Answer Ranking

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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, Ruifang Liu

Beijing University of Posts and Telecommunications(BUPT) at TREC 2016: A Rating Model Based on Tags for ABSTRACT Contextual Suggestion

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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, Liang He

ECNU at 2016 LiveQA Track: A Parameter Sharing Long Short Term Memory Model for Learning Question Similarity

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Query Expansion with Automatically Predicted Diagnosis: iRiS at TREC CDS track 2016

Danchen Zhang, Daqing He, Sanqiang Zhao, Lei Li

Query Expansion with Automatically Predicted Diagnosis: iRiS at TREC CDS track 2016

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Evaluation of a Feedback Algorithm inspired by Quantum Detection for Dynamic Search Tasks

Emanuele Di Buccio, Massimo Melucci

Evaluation of a Feedback Algorithm inspired by Quantum Detection for Dynamic Search Tasks

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TREC 2016 Total Recall Track Overview

Maura R. Grossman, Gordon V. Cormack, Adam Roegiest

TREC 2016 Total Recall Track Overview

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Recommending Points-of-Interest via Weighted kNN, Rated Rocchio, and Borda Count Fusion

Georgios Kalamatianos, Avi Arampatzis

Recommending Points-of-Interest via Weighted kNN, Rated Rocchio, and Borda Count Fusion

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TREC 2016 Dynamic Domain Track Overview

Grace Hui Yang, Ian Soboroff

TREC 2016 Dynamic Domain Track Overview

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NLM NIH at TREC 2016 Clinical Decision Support Track

Asma Ben Abacha

NLM NIH at TREC 2016 Clinical Decision Support Track

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CSIRO at TREC Clinical Decision Support Track

Sarvnaz Karimi, Sara Falamaki, Vincent Nguyen

CSIRO at TREC Clinical Decision Support Track

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Overview of the TREC Tasks Track 2016

Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey

Overview of the TREC Tasks Track 2016

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Siena's Clinical Decision Assistant with Machine Learning

Brendan Kish, Thomas Walsh, Katherine Small, Steven Gassert, Kylie Small, Sharon Gower Small

Siena's Clinical Decision Assistant with Machine Learning

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DAIICT at TREC RTS 2016: Live Push Notification and Email Digest

Sandip Modha, Krati Agrawal, Deepali Verma, Prasenjit Majumder, Chintak Mandalia

DAIICT at TREC RTS 2016: Live Push Notification and Email Digest

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IR-IITBHU at TREC 2016 Open Search Track: Retrieving documents using Divergence From Randomness model in Terrier

Mitodru Niyogi, Sukomal Pal

IR-IITBHU at TREC 2016 Open Search Track: Retrieving documents using Divergence From Randomness model in Terrier

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The University of Padua (IMS) at TREC 2016 Total Recall Track

Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio

The University of Padua (IMS) at TREC 2016 Total Recall Track

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Neural Endorsement Based Contextual Suggestion

Seyyed Hadi Hashemi, Jaap Kamps, Nawal Ould Amer

Neural Endorsement Based Contextual Suggestion

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Overview of the TREC 2016 Clinical Decision Support Track

Kirk Roberts, Dina Demner-Fushman, Ellen M. Voorhees, William R. Hersh

Overview of the TREC 2016 Clinical Decision Support Track

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WHUIRGroup at TREC 2016 Clinical Decision Support Task

Ruixue Wang, Heng Ding, Wei Lu

WHUIRGroup at TREC 2016 Clinical Decision Support Task

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Light-weight, Conservative, yet Effective: Scalable Real-time Tweet Summarization

Reem Suwaileh, Maram Hasanain, Tamer Elsayed

Light-weight, Conservative, yet Effective: Scalable Real-time Tweet Summarization

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An Ensemble Model of Clinical Information Extraction and Information Retrieval for Clinical Decision Support

Yanshan Wang, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Sijia Liu, Hongfang Liu

An Ensemble Model of Clinical Information Extraction and Information Retrieval for Clinical Decision Support

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Team DA IICT at Clinical Decision Support Track in TREC 2016: Topic Modeling for Query Expansion

Jainisha Sankhavara, Prasenjit Majumder

Team DA IICT at Clinical Decision Support Track in TREC 2016: Topic Modeling for Query Expansion

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Word embeddings and Global Preference for Contextual Suggestion

Jian Mo, Luc Lamontagne, Richard Khoury

Word embeddings and Global Preference for Contextual Suggestion

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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 TREC LiveQA 2016: Using Topic Modeling to Answer Complex Questions

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Query Performance Prediction and Topic Shift in Microblog Retrieval

Kuang Lu, Hui Fang

Query Performance Prediction and Topic Shift in Microblog Retrieval

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HLJIT at TREC 2016: The Approaches Based on Document Language Model for Real-Time Summarization Track

Song Li, Zhenyuan Hao, Zhongyuan Han, Leilei Kong, Haoliang Qi

HLJIT at TREC 2016: The Approaches Based on Document Language Model for Real-Time Summarization Track

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UFMG at the TREC 2016 Dynamic Domain track

Felipe Moraes, Rodrygo L. T. Santos, Nivio Ziviani

UFMG at the TREC 2016 Dynamic Domain track

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San Francisco State University (SFSU) at Total Recall Track of TREC 2016

Mon-Shih Chuang, Anagha Kulkarni

San Francisco State University (SFSU) at Total Recall Track of TREC 2016

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RMIT at the TREC 2016 LiveQA Track

Joel Mackenzie, Ruey-Cheng Chen, J. Shane Culpepper

RMIT at the TREC 2016 LiveQA Track

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Sharing: Research produced artifacts
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"When to Stop" Waterloo (Cormack) Participation in the TREC 2016 Total Recall Track

Gordon V. Cormack, Maura R. Grossman

"When to Stop" Waterloo (Cormack) Participation in the TREC 2016 Total Recall Track

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