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Found 8 papers, 3 papers with code
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation
The results also demonstrate the contributions of both bidirectional design and the training method to the accuracy improvement.
Ranked #1 on
Semantic Frame Parsing
on MixSNIPS
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers
In this paper, we propose using deep neural networks to extract important information from Vietnamese legal questions, a fundamental task towards building a question answering system in the legal domain.
Video Dialog as Conversation about Objects Living in Space-Time
To tackle these challenges we present a new object-centric framework for video dialog that supports neural reasoning dubbed COST - which stands for Conversation about Objects in Space-Time.
Autoencoding Language Model Based Ensemble Learning for Commonsense Validation and Explanation
An ultimate goal of artificial intelligence is to build computer systems that can understand human languages.
Answering Legal Questions by Learning Neural Attentive Text Representation
We present a retrieval-based model for the task by learning neural attentive text representation.
Leveraging Foreign Language Labeled Data for Aspect-Based Opinion Mining
Aspect-based opinion mining is the task of identifying sentiment at the aspect level in opinionated text, which consists of two subtasks: aspect category extraction and sentiment polarity classification.
Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features
Text classification is an important field of research from mid 90s up to now.
Natural Language Processing in Biomedicine: A Unified System Architecture Overview
In modern electronic medical records (EMR) much of the clinically important data - signs and symptoms, symptom severity, disease status, etc.
