Detecting Off-Topic Spoken Response with NLP | AISC

Published on ● Video Link: https://www.youtube.com/watch?v=0nOEifChegY



Category:
Let's Play
Duration: 59:55
346 views
8


For slides and more information on the paper, visit https://ai.science/e/detecting-off-topic-spoken-response-with-nlp--NKWB98yQ98zEeX8UDdvX

Speaker: Vatsal Raina; Discussion Facilitator: Zach Nguyen

Motivation:
Increased demand to learn English for business and education has led to growing interest in automatic spoken language assessment and teaching systems. With this shift to automated approaches, it is important that systems reliably assess all aspects of a candidate’s responses, one of which is whether the response from the candidate is relevant to the prompt provided. This paper will give audience an understanding of how off-topic detection can be done fairly accurately with seen and unseen prompts.




Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE


2020-09-29Overview: Machine Learning for Quantum Matter Research | AISC
2020-09-25Overview of Machine Learning for Knowledge Graphs | AISC
2020-09-24Integrating Physics into Machine Learning Models for Scientific Discovery | AISC
2020-09-24Applications of Blockchain to IoT Security | AISC
2020-09-24Human-Technology Systems for Intelligent Civil Infrastructure Operation and Maintenance | AISC
2020-09-23The AI Design Sprint -- setting your AI Initiative up for delivery success! | AISC
2020-09-23explainX - Explainable AI for model developers | AISC
2020-09-22Statistical Issues in Agent-Based Models | AISC
2020-09-22Layerwise Learning for Quantum Neural Networks | AISC
2020-09-17Survival regression with AFT model in XGBoost | AISC
2020-09-17Detecting Off-Topic Spoken Response with NLP | AISC
2020-09-16Defining your AI Value Model for Product Success (and Profit) | AISC
2020-09-15Real-World Quantum Communication: One Module at a Time | AISC
2020-09-15Predicting and Understanding Human Choices using PCMC-Net with an application to Airline Itineraries
2020-09-14Product Ideation: From a Hunch to a Concrete Idea
2020-09-14RadioAssistant - Ranking Radiology Patients using Deep Learning | Workshop Capstone
2020-09-11Building a better climate model with Machine Learning | AISC
2020-09-10Set Constrained Temporal Transformer for Set Supervised Action Segmentation | AISC
2020-09-10An overview of task-oriented dialog systems | AISC
2020-09-09Targeted Machine Learning for Data Science | AISC
2020-09-08Build next generation recommenders with NVIDIA Merlin | AISC