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Natural Language Inference

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Natural language inference (NLI) 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.

Approaches used for NLI include earlier symbolic and statistical approaches to more recent deep learning approaches. Benchmark datasets used for NLI include SNLI, MultiNLI, SciTail, among others. You can get hands-on practice on the SNLI task by following this d2l.ai chapter.

Further readings:

Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/RegNLP/RePASs

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RIRAG: Regulatory Information Retrieval and Answer Generation

https://github.com/RussianNLP/RussianSuperGLUE

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RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark

https://github.com/SamyAteia/BioRAGent

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BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A

https://github.com/SawanKumar28/nile

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NILE : Natural Language Inference with Faithful Natural Language Explanations

https://github.com/SawanKumar28/pero

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Reordering Examples Helps during Priming-based Few-Shot Learning

https://github.com/SebiSebi/AI2-Reasoning-Challenge-ARC

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Improving Retrieval-Based Question Answering with Deep Inference Models

https://github.com/ShannonAI/ChineseBert

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ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

https://github.com/ShannonAI/Self_Explaining_Structures_Improve_NLP_Models

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Self-Explaining Structures Improve NLP Models

https://github.com/StonyBrookNLP/BioNLI

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BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples

https://github.com/TalSchuster/VitaminC

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Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

https://github.com/TheOpenSI/CoSMIC

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Unleashing Artificial Cognition: Integrating Multiple AI Systems

https://github.com/Trusted-AI/AIX360

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Order Constraints in Optimal Transport

https://github.com/U-Alberta/QA-partial-marks

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Accurate and Nuanced Open-QA Evaluation Through Textual Entailment

https://github.com/UKPLab/fever-2018-team-athene

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UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification

https://github.com/UKPLab/linspector

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LINSPECTOR: Multilingual Probing Tasks for Word Representations

https://github.com/UKPLab/linspector-web

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LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations

https://github.com/UKPLab/tacl2025-ood-eval-self-rationalization

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Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks

https://github.com/UVa-NLP/GMASK

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Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks

https://github.com/Vaibhavs10/anli-performance-prediction

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Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference

https://github.com/VinAIResearch/PhoBERT

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PhoBERT: Pre-trained language models for Vietnamese

https://github.com/WANGXinyiLinda/CMLE

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Counterfactual Maximum Likelihood Estimation for Training Deep Networks

https://github.com/WHUIR/RAGE

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Review-Driven Answer Generation for Product-Related Questions in E-Commerce

https://github.com/WorkInTheDark/FairytaleQA_QAG_System

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It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books

https://github.com/X1AOX1A/UniPoll

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UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization

https://github.com/YerevaNN/DIIN-in-Keras

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Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report

https://github.com/YichenGong/Densely-Interactive-Inference-Network

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Natural Language Inference over Interaction Space

https://github.com/ZJU-DAILY/MQA

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An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models

https://github.com/ZJULearning/DMP

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Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference

https://github.com/ZeweiChu/WikiNLI

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Mining Knowledge for Natural Language Inference from Wikipedia Categories

https://github.com/ZhaoqLiu/BreakNLI

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Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models

https://github.com/aatlantise/syntactic-augmentation-nli

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Syntactic Data Augmentation Increases Robustness to Inference Heuristics

https://github.com/ab-10/Hawk

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Identifying and Explaining Discriminative Attributes

https://github.com/acade-mate/o2-searcher

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O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering

https://github.com/advancing-machine-human-reasoning-lab/negation-processing-acl-2022

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Developmental Negation Processing in Transformer Language Models

https://github.com/ahmedssabir/Semantic-Relatedness-Based-Reranker-for-Text-Spotting

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Semantic Relatedness Based Re-ranker for Text Spotting

https://github.com/ai-forever/mgpt

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mGPT: Few-Shot Learners Go Multilingual

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.