Sean MacAvaney - Semantic Scholar

GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction

Sean MacAvaney, Arman Cohan, Nazli Goharian
SemEval@ACL
2017

• Medians calculated from participating systems in each task (6 unsupervised TS & ES, 5 unsupervised TA & EA, 4 unsupervised CR, 11 supervised TS & ES, 10 supervised TA & EA (modality), 9 supervised… (More)

Characterizing Question Facets for Complex Answer Retrieval

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)

CEDR: Contextualized Embeddings for Document Ranking

Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian
SIGIR
2019

Although considerable attention has been given to neural ranking architectures recently, far less attention has been paid to the term representations that are used as input to these models. In this… (More)

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

Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian
COLING
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)

Contextualized PACRR for Complex Answer Retrieval

The Lord of the Rings » Plot Summary » Prologue Thousands of years before the events of the novel, the Dark Lord Sauron had forged the One Ring to rule the other Rings of Power and corrupt those who… (More)

An Approach for Weakly-Supervised Deep Information Retrieval

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)

Overcoming low-utility facets for complex answer retrieval

Sean MacAvaney, Andrew Yates, +4 authors Ophir Frieder
Information Retrieval Journal
2018

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

A Deeper Look into Dependency-Based Word Embeddings

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)

Content-Based Weak Supervision for Ad-Hoc Re-Ranking

Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder
SIGIR
2019

One challenge with neural ranking is the need for a large amount of manually-labeled relevance judgments for training. In contrast with prior work, we examine the use of weak supervision sources for… (More)

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

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)