research
∙
08/28/2021
WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding
Building quality machine learning models for natural language understand...
share
research
∙
04/12/2021
Self-Training with Weak Supervision
State-of-the-art deep neural networks require large-scale labeled traini...
research
∙
10/11/2020
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only
Health departments have been deploying text classification systems for t...
research
∙
10/06/2020
Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher
Cross-lingual text classification alleviates the need for manually label...
research
∙
06/24/2020
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
Can one build a knowledge graph (KG) for all products in the world? Know...
research
∙
04/15/2020
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories
Extracting structured knowledge from product profiles is crucial for var...
research
∙
09/30/2019
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health
In many review classification applications, a fine-grained analysis of t...
research
∙
09/01/2019
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training
User-generated reviews can be decomposed into fine-grained segments (e.g...
research
∙
07/17/2018