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WaterlooClarke: TREC 2015 Clinical Decision Support Track

Amira Ghenai, Eldar Khalilov, Pavel Valov, Charles L. A. Clarke
2015 Text Retrieval Conference  
Clinical decision support systems help physicians with finding additional information about a particular medical case.  ...  In this paper, we develop a clinical decision support system that, based on a short medical case description, can recommend research articles to answer some common medical questions (diagnosis, test and  ...  Different tokenizers and stemmers can TREC 2015 Clinical Decision Support Track be used for both medical articles and input queries.  ... 
dblp:conf/trec/GhenaiKVC15 fatcat:epac2aqet5dtfivydvhblylax4

TREC 2015 Total Recall Track Overview

Adam Roegiest, Gordon V. Cormack, Charles L. A. Clarke, Maura R. Grossman
2015 Text Retrieval Conference  
The TREC 2015 Total Recall Track attracted 10 participants, including three industrial groups that submitted "manual athome" runs, two academic groups that submitted only "automatic athome" runs, and five  ...  The 2015 At-Home collections consisted of three datasets and 30 topics. The Jeb Bush emails 2 were collected and assessed for 10 topics by the Track coordinators.  ...  We give particular thanks to SusanGray Paige, Roger Christman, Rebecca Morgan, and Kathy Jordan for their invaluable assistance with and unwavering support for this work.  ... 
dblp:conf/trec/RoegiestCCG15 fatcat:zgu7xglcf5bi7mvtpjllsgid2i

Salience Estimation and Faithful Generation: Modeling Methods for Text Summarization and Generation

Christopher Kedzie
These models incorporate salience estimates into larger text extraction algorithms that also consider redundancy and previous extraction decisions.  ...  TREC 2015 Experiments and Results There were three tasks at the TREC 2015 Temporal Summarization shared-task evaluation 2.  ...  Automatic Experiments We evaluate our method on the publicly available TREC Temporal Summarization Track data using the data from the 2013, 2014, and 2015 years of the shared task.  ... 
doi:10.7916/d8-61n8-mg23 fatcat:sztaye4ftvhubjibjd3ty5dqy4