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Natural Language Inference

204 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.

Benchmarks

Latest papers with code

Improving Results on Russian Sentiment Datasets

28 Jul 2020antongolubev5/Targeted-SA-for-Russian-Datasets

In this study, we test standard neural network architectures (CNN, LSTM, BiLSTM) and recently appeared BERT architectures on previous Russian sentiment evaluation datasets.

NATURAL LANGUAGE INFERENCE SENTIMENT ANALYSIS

3
28 Jul 2020

Transferability of Natural Language Inference to Biomedical Question Answering

1 Jul 2020dmis-lab/bioasq8b

Biomedical question answering (QA) is a challenging problem due to the scarcity of data and the requirement of domain expertise.

NATURAL LANGUAGE INFERENCE QUESTION ANSWERING TRANSFER LEARNING

3
01 Jul 2020

Language Models are Few-Shot Learners

28 May 2020openai/gpt-3

By contrast, humans can generally perform a new language task from only a few examples or from simple instructions - something which current NLP systems still largely struggle to do.

 Ranked #1 on Language Modelling on Penn Treebank (Word Level) (using extra training data)

COMMON SENSE REASONING COREFERENCE RESOLUTION DOMAIN ADAPTATION FEW-SHOT LEARNING LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SENTENCE COMPLETION UNSUPERVISED MACHINE TRANSLATION WORD SENSE DISAMBIGUATION

6,604
28 May 2020

NILE : Natural Language Inference with Faithful Natural Language Explanations

ACL 2020 SawanKumar28/nile

In this work, we focus on the task of natural language inference (NLI) and address the following question: can we build NLI systems which produce labels with high accuracy, while also generating faithful explanations of its decisions?

DECISION MAKING NATURAL LANGUAGE INFERENCE

5
25 May 2020

L2R2: Leveraging Ranking for Abductive Reasoning

22 May 2020zycdev/L2R2

In the $\alpha$NLI task, two observations are given and the most plausible hypothesis is asked to pick out from the candidates.

LANGUAGE MODELLING LEARNING-TO-RANK NATURAL LANGUAGE INFERENCE

6
22 May 2020

Stance Prediction and Claim Verification: An Arabic Perspective

WS 2020 latynt/ans

This work explores the application of textual entailment in news claim verification and stance prediction using a new corpus in Arabic.

NATURAL LANGUAGE INFERENCE

4
21 May 2020

Logical Inferences with Comparatives and Generalized Quantifiers

ACL 2020 izumi-h/ccgcomp

Comparative constructions pose a challenge in Natural Language Inference (NLI), which is the task of determining whether a text entails a hypothesis.

AUTOMATED THEOREM PROVING NATURAL LANGUAGE INFERENCE

4
16 May 2020

Towards Robustifying NLI Models Against Lexical Dataset Biases

ACL 2020 owenzx/LexicalDebias-ACL2020

While deep learning models are making fast progress on the task of Natural Language Inference, recent studies have also shown that these models achieve high accuracy by exploiting several dataset biases, and without deep understanding of the language semantics.

DATA AUGMENTATION NATURAL LANGUAGE INFERENCE

5
10 May 2020

Probing Linguistic Systematicity

ACL 2020 emilygoodwin/systematicity

Recently, there has been much interest in the question of whether deep natural language understanding models exhibit systematicity; generalizing such that units like words make consistent contributions to the meaning of the sentences in which they appear.

NATURAL LANGUAGE INFERENCE NATURAL LANGUAGE UNDERSTANDING

4
08 May 2020

KLEJ: Comprehensive Benchmark for Polish Language Understanding

ACL 2020 allegro/HerBERT

To ensure a common evaluation scheme and promote models that generalize to different NLU tasks, the benchmark includes datasets from varying domains and applications.

NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE NATURAL LANGUAGE UNDERSTANDING QUESTION ANSWERING SENTIMENT ANALYSIS

8
01 May 2020