The Natural Language Decathlon: A Multitask Challenge for NLP
Deep learning has significantly improved state-of-the-art performance for natural language processing (NLP) tasks, but each one is typically studied in isolation. The Natural Language Decathlon (decaNLP) is a new benchmark for studying general NLP models that can perform a variety of complex, natural language tasks. By requiring a single system to perform ten disparate natural language tasks, decaNLP offers a unique setting for multitask, transfer, and continual learning.and is publicly available on github in order to use for tasks like Question Answering, Machine Translation, Summarization, Sentiment Analysis etc.
Outline/Structure of the Talk
- Introduction to DecaNLP
- Targeted NLP Tasks
- Open Source Collaboration on github
- Patents / Publications in NLP, Computer Vision, AI.
People will be able to understand different problems of NLP like:
1. Question Answering
2. Machine Translation
4. Natural Language Inference
5. Sentiment Analysis
6. Semantic Role Labeling
7. Relation Extraction
8. Goal-Oriented Dialogue
9. Semantic Parsing
10. Commonsense Reasoning
People will know about a unified Framework provided by decaNLP to solve different NLP tasks mentioned above.
People having basic knowledge of NLP, Machine Learning and Deep Learning.
Prerequisites for Attendees
Read basic stuff about NLP, Machine Learning, Deep Learning.
schedule Submitted 2 years ago
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Interactive: They MUST interact easily with users so that those users can define their needs comfortably. They MUST interact with other processors, devices, services, as well as with people.
Iterative and Stateful: They MUST aid in defining a problem by asking questions or finding additional source input if a problem statement is ambiguous or incomplete. They MUST remember previous interactions in a process and return information that is suitable for the specific application at that point in time.
Contextual: They MUST understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulation, user profile, process, task and goal. They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided).
Multi-Modal Interaction: https://www.youtube.com/watch?v=jQ8Gq2HWxiA
Gesture Detection: https://www.youtube.com/watch?v=rDSuCnC8Ei0
Speech Recognition: https://www.youtube.com/watch?v=AewM3TsjoBk
Assignment (Hands-on Challenge for Attendees)
Real-time multi-modal access control system for authorized access to work environment - All the key concepts and individual steps will be demonstrated and explained in this workshop, and the attendees need to customize the generic code or approach for this assignment or hands-on challenge.