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Natural Language Inference

163 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

Massively Multilingual Sparse Word Representations

ICLR 2020

Finally, we are releasing our multilingual sparse word representations for the 27 typologically diverse set of languages that we conducted our various experiments on.

DEPENDENCY PARSING DOCUMENT CLASSIFICATION NATURAL LANGUAGE INFERENCE

XD: Cross-lingual Knowledge Distillation for Polyglot Sentence Embeddings

ICLR 2020

Current state-of-the-art results in multilingual natural language inference (NLI) are based on tuning XLM (a pre-trained polyglot language model) separately for each language involved, resulting in multiple models.

LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDINGS

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

ICLR 2020

Recently, the pre-trained language model, BERT (and its robustly optimized version RoBERTa), 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

Adversarial Filters of Dataset Biases

ICLR 2020

However, while machine performance on these benchmarks advances rapidly --- often surpassing human performance --- it still struggles on the target tasks in the wild.

NATURAL LANGUAGE INFERENCE

Cross-Lingual Ability of Multilingual BERT: An Empirical Study

ICLR 2020

Recent work has exhibited the surprising cross-lingual abilities of multilingual BERT (M-BERT) -- surprising since it is trained without any cross-lingual objective and with no aligned data.

NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE

Learning Entailment-Based Sentence Embeddings from Natural Language Inference

ICLR 2020

Large datasets on natural language inference are a potentially valuable resource for inducing semantic representations of natural language sentences.

NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDINGS

Simple but effective techniques to reduce dataset biases

ICLR 2020

There have been several studies recently showing that strong natural language understanding (NLU) models are prone to relying on unwanted dataset biases without learning the underlying task, resulting in models which fail to generalize to out-of-domain datasets, and are likely to perform poorly in real-world scenarios.

NATURAL LANGUAGE INFERENCE

Distributionally Robust Neural Networks

ICLR 2020

Distributionally robust optimization (DRO) provides an approach for learning models that instead minimize worst-case training loss over a set of pre-defined groups.

NATURAL LANGUAGE INFERENCE