Browse > Natural Language Processing > Natural Language Inference

Natural Language Inference

171 papers with code · 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.

Leaderboards

Latest papers with code

Discourse-Based Evaluation of Language Understanding

ICLR 2020 disceval/DiscEval

New models for natural language understanding have made unusual progress recently, leading to claims of universal text representations.

MULTI-TASK LEARNING NATURAL LANGUAGE INFERENCE

1
01 Jan 2020

FlauBERT: Unsupervised Language Model Pre-training for French

11 Dec 2019getalp/Flaubert

Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks.

LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE TEXT CLASSIFICATION WORD SENSE DISAMBIGUATION

81
11 Dec 2019

XLNet: Generalized Autoregressive Pretraining for Language Understanding

NeurIPS 2019 zihangdai/xlnet

With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better performance than pretraining approaches based on autoregressive language modeling.

DENOISING DOCUMENT RANKING LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SENTIMENT ANALYSIS

5,104
01 Dec 2019

Compositional De-Attention Networks

NeurIPS 2019 vanzytay/NeurIPS2019_CODA

Attentional models are distinctly characterized by their ability to learn relative importance, i. e., assigning a different weight to input values.

MACHINE TRANSLATION NATURAL LANGUAGE INFERENCE OPEN-DOMAIN QUESTION ANSWERING SENTIMENT ANALYSIS

22
01 Dec 2019

CamemBERT: a Tasty French Language Model

10 Nov 2019huggingface/transformers

We measure the performance of CamemBERT compared to multilingual models in multiple downstream tasks, namely part-of-speech tagging, dependency parsing, named-entity recognition, and natural language inference.

DEPENDENCY PARSING LANGUAGE MODELLING NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE PART-OF-SPEECH TAGGING

22,688
10 Nov 2019

Transformation of Dense and Sparse Text Representations

7 Nov 2019morning-dews/ST

The key idea of the proposed approach is to use a Forward Transformation to transform dense representations to sparse representations.

NATURAL LANGUAGE INFERENCE TEXT CLASSIFICATION

1
07 Nov 2019

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

2 Nov 2019sinovation/ZEN

Moreover, it is shown that reasonable performance can be obtained when ZEN is trained on a small corpus, which is important for applying pre-training techniques to scenarios with limited data.

CHINESE NAMED ENTITY RECOGNITION CHINESE WORD SEGMENTATION DOCUMENT CLASSIFICATION NATURAL LANGUAGE INFERENCE PART-OF-SPEECH TAGGING SENTENCE PAIR MODELING SENTIMENT ANALYSIS

394
02 Nov 2019

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

29 Oct 2019zhdbwe/Paper-DailyReading

We evaluate a number of noising approaches, finding the best performance by both randomly shuffling the order of the original sentences and using a novel in-filling scheme, where spans of text are replaced with a single mask token.

#8 best model for Question Answering on SQuAD1.1 dev (F1 metric)

DENOISING MACHINE TRANSLATION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING TEXT GENERATION

0
29 Oct 2019

Evaluating the Factual Consistency of Abstractive Text Summarization

28 Oct 2019salesforce/factCC

Currently used metrics for assessing summarization algorithms do not account for whether summaries are factually consistent with source documents.

ABSTRACTIVE TEXT SUMMARIZATION NATURAL LANGUAGE INFERENCE

14
28 Oct 2019