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Created about 1 year ago
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iTharindu

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We investigate how generalised quantifiers affect the behaviour of transformer-based language models employing the textual entailment problem defined in a purely logical sense, namely, model-checking with natural language.

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Dialog policy optimization for task-oriented conversational agents in low resource setting using Reinforcement learning. The methodology is based on a novel probability based Self-play technique and a novel Reward based sampling technique that prioritizes failed dialogues over successful ones

OpenEdge ABL

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Web based system for a school

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fare_classification

Code(winning solution) for the fare calssification challenge which is a private competition hosted at kaggle whrere the goal of the competition is to classify fare as correct or not

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iTharindu/generalised-quantifiers-model-checking

iTharindu

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