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On Committee Representations of Adversarial Learning Models for Question-Answer Ranking
Adversarial training is a process in Machine Learning that explicitly trains models on adversarial inputs (inputs designed to deceive or trick the learning process) in order to make it more robust or accurate.
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks
Adversarial domain adaptation has been recently proposed as an effective technique for textual matching tasks, such as question deduplication.
Multimodal Named Entity Disambiguation for Noisy Social Media Posts
We introduce the new Multimodal Named Entity Disambiguation (MNED) task for multimodal social media posts such as Snapchat or Instagram captions, which are composed of short captions with accompanying images.
Visual Attention Model for Name Tagging in Multimodal Social Media
Everyday billions of multimodal posts containing both images and text are shared in social media sites such as Snapchat, Twitter or Instagram.
Multimodal Named Entity Recognition for Short Social Media Posts
We introduce a new task called Multimodal Named Entity Recognition (MNER) for noisy user-generated data such as tweets or Snapchat captions, which comprise short text with accompanying images.
