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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://bitbucket.org/RoxanaSz/puzzte

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A Puzzle-Based Dataset for Natural Language Inference

https://bitbucket.org/nlpitu/xnli

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Baselines and test data for cross-lingual inference

https://bitbucket.org/tsendeemts/nse

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Neural Semantic Encoders

https://bitbucket.org/tsendeemts/nti

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Neural Tree Indexers for Text Understanding

https://github.com/1-800-shared-tasks/emnlp-2024-nllp

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Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media Evidence

https://github.com/1fanj/CMA-distributivity

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Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis

https://github.com/ACL2020Anonymous/SymBERT

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Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

https://github.com/AI-secure/InfoBERT

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InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

https://github.com/AMHRLab/NLIwithACE

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Probing the Natural Language Inference Task with Automated Reasoning Tools

https://github.com/AbhilashaRavichander/EQUATE

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EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference

https://github.com/Abhiram4572/mi_bart

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Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering

https://github.com/Aishwarya-NR/LRTA_Perturbed_Dataset

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LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering

https://github.com/AkariAsai/CORA

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One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval

https://github.com/AndreasMadsen/llm-introspection

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Are self-explanations from Large Language Models faithful?

https://github.com/AsaCooperStickland/Bert-n-Pals

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BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

https://github.com/Babelscape/FENICE

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FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction

https://github.com/BlinkDL/RWKV-LM

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RWKV: Reinventing RNNs for the Transformer Era

https://github.com/BordiaS/LegalLens_inference

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Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution

https://github.com/CAMTL/CA-MTL

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Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

https://github.com/CLUEbenchmark/OCNLI

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OCNLI: Original Chinese Natural Language Inference

https://github.com/ChenRocks/UNITER

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UNITER: UNiversal Image-TExt Representation Learning

https://github.com/CogComp/perspectroscope

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PerspectroScope: A Window to the World of Diverse Perspectives

https://github.com/DLYuanGod/RPN

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RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding

https://github.com/DeFacto/DeFactoNLP

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DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention

https://github.com/DevSinghSachan/emdr2

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End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering

https://github.com/DianDYu/language_embeddings

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Language Embeddings for Typology and Cross-lingual Transfer Learning

https://github.com/EdinburghClinicalNLP/semeval_nli4ct

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Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4

https://github.com/FilippoC/diffdp

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Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming

https://github.com/Georgetown-IR-Lab/GAuGE

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Genetic Approach to Mitigate Hallucination in Generative IR

https://github.com/GuangyuZheng/MACD

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Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning

https://github.com/HITsz-TMG/ExplainableVisualEntailment

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Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations

https://github.com/HITsz-TMG/SKURG

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Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation

https://github.com/HJZnlp/Faithful_XWikis

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Leveraging Entailment Judgements in Cross-Lingual Summarisation

https://github.com/HKUNLP/zerogen

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ZeroGen: Efficient Zero-shot Learning via Dataset Generation

https://github.com/HKUST-KnowComp/EvidenceConflict

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ECon: On the Detection and Resolution of Evidence Conflicts

https://github.com/HMUNACHI/pete

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Parameter-Efficient Transformer Embeddings

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