241 citations · 686 across the 25 of their papers we have counts for
5 papers · 1 filter
Depression and Self-Harm Risk Assessment in Online Forums
Andrew Yates, Arman Cohan, Nazli Goharian
Users suffering from mental health conditions often turn to online resources for support, including specialized online support communities or general communities such as Twitter an…
DE-PACRR: Exploring Layers Inside the PACRR Model
Andrew Yates, Kai Hui
Recent neural IR models have demonstrated deep learning's utility in ad-hoc information retrieval. However, deep models have a reputation for being black boxes, and the roles of a…
Content-Based Weak Supervision for Ad-Hoc Re-Ranking
Sean MacAvaney, Andrew Yates, Kai Hui +1
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 super…
PACRR: A Position-Aware Neural IR Model for Relevance Matching
Kai Hui, Andrew Yates, Klaus Berberich +1
In order to adopt deep learning for information retrieval, models are needed that can capture all relevant information required to assess the relevance of a document to a given use…
Triaging Content Severity in Online Mental Health Forums
Arman Cohan, Sydney Young, Andrew Yates +1
Mental health forums are online communities where people express their issues and seek help from moderators and other users. In such forums, there are often posts with severe conte…