4 citations · 8 across the 6 of their papers we have counts for
6 papers
Alexpaca: Learning Factual Clarification Question Generation Without Examples
Matthew Toles, Yukun Huang, Zhou Yu +1
Real-life tasks such as giving legal or technical advice often lack complete context at the outset and can have disparate answers depending thereon. The ability to derive missing f…
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only
Ziyi Liu, Giannis Karamanolakis, Daniel Hsu +1
Health departments have been deploying text classification systems for the early detection of foodborne illness complaints in social media documents such as Yelp restaurant reviews…
Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher
Giannis Karamanolakis, Daniel Hsu, Luis Gravano
Cross-lingual text classification alleviates the need for manually labeled documents in a target language by leveraging labeled documents from other languages. Existing approaches…
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health
Giannis Karamanolakis, Daniel Hsu, Luis Gravano
In many review classification applications, a fine-grained analysis of the reviews is desirable, because different segments (e.g., sentences) of a review may focus on different asp…
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training
Giannis Karamanolakis, Daniel Hsu, Luis Gravano
User-generated reviews can be decomposed into fine-grained segments (e.g., sentences, clauses), each evaluating a different aspect of the principal entity (e.g., price, quality, ap…
Automatic Classification of Text Databases through Query Probing
Panagiotis Ipeirotis, Luis Gravano, Mehran Sahami
Many text databases on the web are "hidden" behind search interfaces, and their documents are only accessible through querying. Search engines typically ignore the contents of such…