Natural Language Processing

Natural Language Inference

Determining entailment relationships between sentences (SNLI, MNLI).

1 datasets0 results

Natural Language Inference is a key task in natural language processing. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.

Benchmarks & SOTA

SNLI

Stanford Natural Language Inference

20150 results

570k human-written English sentence pairs manually labeled for balanced classification with the labels entailment, contradiction, and neutral.

No results tracked yet

Related Tasks

Language Modeling

Predicting the next word or token in a sequence. Core task for GPT-style models.

Machine Translation

Translating text from one language to another (WMT benchmarks).

Question Answering

Answering questions based on context (SQuAD, Natural Questions).

Text Classification

Categorizing text into predefined classes (sentiment, topic).

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