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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/ekonwang/rrescue

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Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation

https://github.com/elronbandel/lexical-generalization

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Lexical Generalization Improves with Larger Models and Longer Training

https://github.com/emilygoodwin/systematicity

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Probing Linguistic Systematicity

https://github.com/endrikacupaj/VOGUE

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VOGUE: Answer Verbalization through Multi-Task Learning

https://github.com/ercong21/parc

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Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages

https://github.com/eric11eca/NeuralLog

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NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

https://github.com/eric11eca/disco

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DISCO: Distilling Counterfactuals with Large Language Models

https://github.com/erichen0615/schemaguidedsemanticaccuracy

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Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation

https://github.com/eternityyw/llm_healthcare

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Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding

https://github.com/ethanleo-lyx/llmqa

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Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering

https://github.com/expertailab/textual-entailment-for-effective-triple-validation-in-object-prediction

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Textual Entailment for Effective Triple Validation in Object Prediction

https://github.com/exploration-lab/iitk-semeval-2024-task-2-clinical-nli

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IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials

https://github.com/eyalbd2/PADA

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PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains

https://github.com/facebookresearch/DME

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Dynamic Meta-Embeddings for Improved Sentence Representations

https://github.com/facebookresearch/InferSent

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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/facebookresearch/LASER

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Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

https://github.com/facebookresearch/SentEval

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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/facebookresearch/SpanBERT

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SpanBERT: Improving Pre-training by Representing and Predicting Spans

https://github.com/facebookresearch/UNLU

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UnNatural Language Inference

https://github.com/facebookresearch/latent-treelstm

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Cooperative Learning of Disjoint Syntax and Semantics

https://github.com/facebookresearch/metaicl

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MetaICL: Learning to Learn In Context

https://github.com/facebookresearch/mmbt

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Supervised Multimodal Bitransformers for Classifying Images and Text

https://github.com/fantabulous-j/class

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Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision

https://github.com/fatemafaria142/Large-Language-Models-Over-Transformer-Models-for-Bangla-NLI

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Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study

https://github.com/fawazsammani/nlxgpt

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NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks

https://github.com/felipessalvatore/CLCD

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A logical-based corpus for cross-lingual evaluation

https://github.com/feng-yufei/ns-nli

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Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference

https://github.com/feyzaakyurek/bbnli

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On Measuring Social Biases in Prompt-Based Multi-Task Learning

https://github.com/fkirste/gem_emnlp2022-toasts

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Analyzing Multi-Task Learning for Abstractive Text Summarization

https://github.com/flair-iisc/watermark_tradeoffs

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Downstream Trade-offs of a Family of Text Watermarks

https://github.com/flipz357/amr4nli

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AMR4NLI: Interpretable and robust NLI measures from semantic graphs

https://github.com/fmplaza/zsl_nli_emotion_prompts

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Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora

https://github.com/frankaging/interchange-intervention-training

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Inducing Causal Structure for Interpretable Neural Networks

https://github.com/fraunhofer-iais/arabic_nlp

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Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training

https://github.com/fredxlpy/letz

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Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to Luxembourgish

https://github.com/freedomintelligence/reasoningnlp

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Natural Language Reasoning, A Survey

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