About

Natural language inference is the task of determining whether a "hypothesis" is true (entailment), false (contradiction), or undetermined (neutral) given a "premise".

Example:

Premise Label Hypothesis
A man inspects the uniform of a figure in some East Asian country. contradiction The man is sleeping.
An older and younger man smiling. neutral Two men are smiling and laughing at the cats playing on the floor.
A soccer game with multiple males playing. entailment Some men are playing a sport.

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Latest papers without code

BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables

7 Apr 2021

Given a table and a statement/fact, subtask A determines whether the statement is inferred from the tabular data, and subtask B determines which cells in the table provide evidence for the former subtask.

FACT VERIFICATION NATURAL LANGUAGE INFERENCE

You Can Do Better! If You Elaborate the Reason When Making Prediction

27 Mar 2021

The experimental results show that the proposed approach can generate reasonable explanations for its predictions even with a small-scale training explanation text.

NATURAL LANGUAGE INFERENCE QUESTION ANSWERING

Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2

24 Mar 2021

Thinking aloud is an effective meta-cognitive strategy human reasoners apply to solve difficult problems.

LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE

Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning

23 Mar 2021

Given that the agents as well as the customers can have varying levels of literacy, the overall quality of responses provided by the agents tend to be poor if they are not predefined.

NATURAL LANGUAGE INFERENCE PARAPHRASE GENERATION SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference

17 Mar 2021

NLI is one of the best scenarios to test these architectures, due to the knowledge required to understand complex sentences and established a relation between a hypothesis and a premise.

CROSS-LINGUAL NATURAL LANGUAGE INFERENCE QUESTION ANSWERING

Robustly Optimized and Distilled Training for Natural Language Understanding

16 Mar 2021

In this paper, we explore multi-task learning (MTL) as a second pretraining step to learn enhanced universal language representation for transformer language models.

KNOWLEDGE DISTILLATION MACHINE READING COMPREHENSION MULTI-TASK LEARNING NATURAL LANGUAGE INFERENCE NATURAL LANGUAGE UNDERSTANDING

Meta-Learning with MAML on Trees

8 Mar 2021

Sharing information between unrelated tasks might hurt performance, and it is unclear how to transfer knowledge across tasks with a hierarchical structure.

CROSS-LINGUAL NATURAL LANGUAGE INFERENCE CROSS-LINGUAL TRANSFER HIERARCHICAL STRUCTURE META-LEARNING NATURAL LANGUAGE UNDERSTANDING

Overcoming Poor Word Embeddings with Word Definitions

5 Mar 2021

Modern natural language understanding models depend on pretrained subword embeddings, but applications may need to reason about words that were never or rarely seen during pretraining.

NATURAL LANGUAGE INFERENCE NATURAL LANGUAGE UNDERSTANDING WORD EMBEDDINGS

Have Attention Heads in BERT Learned Constituency Grammar?

16 Feb 2021

Our results suggest that SMS tasks decrease the average CGI ability of upper layers, while NLI tasks increase it.

NATURAL LANGUAGE INFERENCE NATURAL LANGUAGE UNDERSTANDING