activity
20182026
most citedExpansion via Prediction of Importance with Contextualization

72 citations · 281 across the 27 of their papers we have counts for

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6 papers · 1 filter

cs.IR2018

Overcoming low-utility facets for complex answer retrieval

Sean MacAvaney, Andrew Yates, Arman Cohan +4

Many questions cannot be answered simply; their answers must include numerous nuanced details and additional context. Complex Answer Retrieval (CAR) is the retrieval of answers to…

cs.CL2018

SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions

Arman Cohan, Bart Desmet, Andrew Yates +3

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 l…

cs.CL2018

RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses

Sean MacAvaney, Bart Desmet, Arman Cohan +4

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 tempo…

cs.IR2018

Characterizing Question Facets for Complex Answer Retrieval

Sean MacAvaney, Andrew Yates, Arman Cohan +4

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 ba…

cs.CL2018

A Deeper Look into Dependency-Based Word Embeddings

Sean MacAvaney, Amir Zeldes

We investigate the effect of various dependency-based word embeddings on distinguishing between functional and domain similarity, word similarity rankings, and two downstream tasks…

cs.CL2018

GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification

Sean MacAvaney, Luca Soldaini, Arman Cohan +1

SemEval 2018 Task 7 focuses on relation ex- traction and classification in scientific literature. In this work, we present our tree-based LSTM network for this shared task. Our app…