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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/yanghanxy/CIAN

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Character-level Intra Attention Network for Natural Language Inference

https://github.com/yannikbenz/zeroe

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From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks

https://github.com/yasminekaroui/clicotea

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Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages

https://github.com/ydyordanov/few-shot-nles

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Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup

https://github.com/yfyuan01/mcpqa

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Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering

https://github.com/yibowang214/ctm

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Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing

https://github.com/yinwenpeng/Answer_Selection

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ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

https://github.com/yinwenpeng/BenchmarkingZeroShot

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Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

https://github.com/yinwenpeng/FEVER

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TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification

https://github.com/yinwenpeng/SciTail

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End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions

https://github.com/yipingnus/gpt-hate-check

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GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?

https://github.com/ylwangy/BERT_zh_Analysis

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Does Chinese BERT Encode Word Structure?

https://github.com/ymcui/Chinese-BERT-wwm

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Pre-Training with Whole Word Masking for Chinese BERT

https://github.com/ynklab/ccgtemp

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Compositional Semantics and Inference System for Temporal Order based on Japanese CCG

https://github.com/ynklab/sst_count

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Logical Inference for Counting on Semi-structured Tables

https://github.com/yoda122/gausscse

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Sentence Representations via Gaussian Embedding

https://github.com/yogarshi/bisparse-dep

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Robust Cross-lingual Hypernymy Detection using Dependency Context

https://github.com/yohanjo/kenli

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Knowledge-Enhanced Evidence Retrieval for Counterargument Generation

https://github.com/ysmiura/ifcc

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Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

https://github.com/ysngki/mixencoder

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Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling

https://github.com/yuanhy1997/hype

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HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation

https://github.com/yuh-zha/alignscore

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AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

https://github.com/yuhui-zh15/FactCCX

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Evaluating the Factual Consistency of Abstractive Text Summarization

https://github.com/yuqi-zhou/gui-g1

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GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

https://github.com/yuzhimanhua/setype

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Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

https://github.com/yxh-y/tablerag

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TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning

https://github.com/yzhjessica/cdvqa

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Change Detection Meets Visual Question Answering

https://github.com/zacharychenpk/egt2

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Entailment Graph Learning with Textual Entailment and Soft Transitivity

https://github.com/zake7749/WSDM-Cup-2019

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Fake News Detection as Natural Language Inference

https://github.com/zanchangtong/csr4mbart

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Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and Understanding

https://github.com/zeaver/multifactor

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Improving Question Generation with Multi-level Content Planning

https://github.com/zhangshiyue/lite2-3pyramid

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Finding a Balanced Degree of Automation for Summary Evaluation

https://github.com/zhaoxy92/LIREx

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LIREx: Augmenting Language Inference with Relevant Explanation

https://github.com/zhegan27/LXMERT-AdvTrain

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Large-Scale Adversarial Training for Vision-and-Language Representation Learning

https://github.com/zhegan27/VILLA

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Large-Scale Adversarial Training for Vision-and-Language Representation Learning

https://github.com/zhengkid/Truth_Table_Logical_Reasoning

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Learning to Reason via Mixture-of-Thought for Logical Reasoning

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