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- Sean MacAvaney, Arman Cohan, Nazli Goharian
- SemEval@ACL
- 2017
Clinical TempEval 2017 (SemEval 2017 Task 12) addresses the task of crossdomain temporal extraction from clinical text. We present a system for this task that uses supervised learning for the… (More)
- Sean MacAvaney, Kai Hui, Andrew Yates
- ArXiv
- 2017
Recent developments in neural information retrieval models have been promising, but a problem remains: human relevance judgments are expensive to produce, while neural models require a considerable… (More)
- Sean MacAvaney, Bart Desmet, +4 authors Nazli Goharian
- CLPsych@NAACL-HTL
- 2018
Self-reported diagnosis statements have been widely employed in studying language related to mental health in social media. However, existing research has largely ignored the temporality of mental… (More)
- Sean MacAvaney, Dr. Jay Urbain
- 2015
Shoulder rotator cuff surgery is one of the most common orthopedic surgeries performed today, particularly in adults over the age of 65. To restore range-of-motion after this surgery, physical… (More)
- Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian
- ArXiv
- 2018
Mental health is a significant and growing public health concern. As language usage can be leveraged to obtain crucial insights into mental health conditions, there is a need for large-scale,… (More)
- Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian
- SemEval@NAACL-HLT
- 2018
SemEval 2018 Task 7 focuses on relation extraction and classification in scientific literature. In this work, we present our tree-based LSTM network for this shared task. Our approach placed 9th (of… (More)
- Sean MacAvaney, Andrew Yates, +4 authors Ophir Frieder
- SIGIR
- 2018
Complex answer retrieval (CAR) is the process of retrieving answers to questions that have multifaceted or nuanced answers. In this work, we present two novel approaches for CAR based on the… (More)
- Sean MacAvaney, Andrew Yates, Kai Hui
- TREC
- 2017
In this work, we present our submission to the TREC Complex Answer Retrieval (CAR) task. Our approach uses a variation of the Position-Aware Convolutional Recurrent Relevance Matching (PACRR) [2]… (More)
- Sean MacAvaney, Amir Zeldes
- NAACL-HLT
- 2018
We investigate the effect of various dependency-based word embeddings on distinguishing between functional and domain similarity, word similarity rankings, and two downstream tasks in English.… (More)