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Natural Language Inference

133 papers with code ยท Natural Language Processing

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

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models

19 Aug 2019

In this paper, we develop a pre-training approach for incorporating commonsense knowledge into language representation models.

NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SENTENCE CLASSIFICATION

Abductive Commonsense Reasoning

15 Aug 2019

For example, if Jenny finds her house in a mess when she returns from work, and remembers that she left a window open, she can hypothesize that a thief broke into her house and caused the mess, as the most plausible explanation.

NATURAL LANGUAGE INFERENCE

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

13 Aug 2019

Recently, the pre-trained language model, BERT, has attracted a lot of attention in natural language understanding (NLU), and achieved state-of-the-art accuracy in various NLU tasks, such as sentiment classification, natural language inference, semantic textual similarity and question answering.

LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS

Do Neural Language Representations Learn Physical Commonsense?

8 Aug 2019

Humans understand language based on the rich background knowledge about how the physical world works, which in turn allows us to reason about the physical world through language.

NATURAL LANGUAGE INFERENCE

Fill the GAP: Exploiting BERT for Pronoun Resolution

WS 2019

In this paper, we describe our entry in the gendered pronoun resolution competition which achieved fourth place without data augmentation.

DATA AUGMENTATION NATURAL LANGUAGE INFERENCE

Explaining Simple Natural Language Inference

WS 2019

The vast amount of research introducing new corpora and techniques for semi-automatically annotating corpora shows the important role that datasets play in today{'}s research, especially in the machine learning community.

NATURAL LANGUAGE INFERENCE

Probing Multilingual Sentence Representations With X-Probe

WS 2019

This paper extends the task of probing sentence representations for linguistic insight in a multilingual domain.

NATURAL LANGUAGE INFERENCE

Can Neural Networks Understand Monotonicity Reasoning?

WS 2019

Monotonicity reasoning is one of the important reasoning skills for any intelligent natural language inference (NLI) model in that it requires the ability to capture the interaction between lexical and syntactic structures.

DATA AUGMENTATION NATURAL LANGUAGE INFERENCE

Testing the Generalization Power of Neural Network Models across NLI Benchmarks

WS 2019

We show that models trained on a natural language inference dataset drawn from one benchmark fail to perform well in others, even if the notion of inference assumed in these benchmarks is the same or similar.

NATURAL LANGUAGE INFERENCE TRANSFER LEARNING