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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/ibm/kpa-hierarchy

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From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization

https://github.com/ibm/zero-shot-classification-boost-with-self-training

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Zero-Shot Text Classification with Self-Training

https://github.com/ibraheem-moosa/mt-ranker

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MT-Ranker: Reference-free machine translation evaluation by inter-system ranking

https://github.com/ict-bigdatalab/utility_judgments

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Are Large Language Models Good at Utility Judgments?

https://github.com/ictnlp/AIH

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Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency

https://github.com/idea-ccnl/fengshenbang-lm

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Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective

https://github.com/iesl/leopard

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Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks

https://github.com/iigroup/map

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MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model

https://github.com/ink-usc/link

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In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search

https://github.com/intellabs/model-compression-research-package

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Q8BERT: Quantized 8Bit BERT

https://github.com/intuit/wmlm

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Unsupervised Improvement of Factual Knowledge in Language Models

https://github.com/ir-nlp-csui/indonli

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IndoNLI: A Natural Language Inference Dataset for Indonesian

https://github.com/ireinig/wogli

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Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs

https://github.com/irenehere/econnli

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EconNLI: Evaluating Large Language Models on Economics Reasoning

https://github.com/irlabamsterdam/cone-rag

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Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets

https://github.com/irugina/AP

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Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks

https://github.com/irugina1/llama-attention-pruning

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Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks

https://github.com/ishan00/translation-for-code-switching-acl

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From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text

https://github.com/ishita-dg/ScrambleTests

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Evaluating Compositionality in Sentence Embeddings

https://github.com/israa-alghanmi/DisKnE

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Probing Pre-Trained Language Models for Disease Knowledge

https://github.com/izumi-h/ccgcomp

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Logical Inferences with Comparatives and Generalized Quantifiers

https://github.com/izumi-h/fracas-comparatives_adjectives

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A CCG-based Compositional Semantics and Inference System for Comparatives

https://github.com/j4vorsky/word-importance

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Assessing Word Importance Using Models Trained for Semantic Tasks

https://github.com/j6mes/eacl2021-debias-finetuning

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Elastic weight consolidation for better bias inoculation

https://github.com/jabalazs/repeval_rivercorners

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Refining Raw Sentence Representations for Textual Entailment Recognition via Attention

https://github.com/jagol/nli-for-hate-speech-detection

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Hypothesis Engineering for Zero-Shot Hate Speech Detection

https://github.com/jagol/xnli4xhsd

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Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data

https://github.com/jantrienes/InfoLossQA

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InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification

https://github.com/jasonforjoy/model-editing-hurt

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Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

https://github.com/jayelm/compexp

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Compositional Explanations of Neurons

https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks

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Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets

https://github.com/jemoka/dropfree

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Drop Dropout on Single-Epoch Language Model Pretraining

https://github.com/jens5588/fzi-wim-nli4ct

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FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain

https://github.com/jhl-hust/texthacker

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TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack

https://github.com/jiangshdd/learningtoselect

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Learning to Select from Multiple Options

https://github.com/jifan-chen/qa-verification-via-nli

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Can NLI Models Verify QA Systems' Predictions?

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