dh1105/Sentence-Entailment
Benchmarking various Deep Learning models such as BERT, ALBERT, BiLSTMs on the task of sentence entailment using two datasets - MultiNLI and SNLI.
This project helps evaluate how different deep learning models perform on the task of determining relationships between sentences. You input pairs of sentences and it tells you whether one sentence implies the other, contradicts it, or if they are neutral. A researcher or data scientist working with natural language processing would use this to understand model efficacy for text understanding.
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Use this if you are developing or comparing natural language understanding systems and need to benchmark models for logical inference between text snippets.
Not ideal if you are looking for a ready-to-use application for content moderation, question answering, or any task beyond model benchmarking for sentence entailment.
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Dec 31, 2020
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