SOTAVerified

Natural Language Inference

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:

Papers

Showing 18011850 of 1961 papers

TitleStatusHype
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text0
University Entrance Examinations as a Benchmark Resource for NLP-based Problem Solving0
基於特徵為本及使用SVM 的文本對蘊涵關係的自動推論方法 (Textual Entailment Recognition Using Textual Features and SVM) [In Chinese]0
Synonym Acquisition Using Bilingual Comparable Corpora0
A Semantically Enhanced Approach to Determine Textual Similarity0
中英文的文字蘊涵與閱讀測驗的初步探索 (An Exploration of Textual Entailment and Reading Comprehension for Chinese and English) [In Chinese]0
Labeled Alignment for Recognizing Textual Entailment0
蘊涵句型分析於改進中文文字蘊涵識別系統 (Entailment Analysis for Improving Chinese Recognizing Textual Entailment System) [In Chinese]0
Semi-Markov Phrase-Based Monolingual Alignment0
A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity0
Automatic Evaluation of Summary Using Textual Entailment0
A Combined Pattern-based and Distributional Approach for Automatic Hypernym Detection in Dutch.0
Detecting Negated and Uncertain Information in Biomedical and Review Texts0
Using a Weighted Semantic Network for Lexical Semantic Relatedness0
A Dataset for Arabic Textual Entailment0
Optimising Tree Edit Distance with Subtrees for Textual Entailment0
A Case Study Towards Turkish Paraphrase Alignment0
A Lightweight and High Performance Monolingual Word Aligner0
Joint Apposition Extraction with Syntactic and Semantic Constraints0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity0
Exploiting Qualitative Information from Automatic Word Alignment for Cross-lingual NLP Tasks0
A Two Level Model for Context Sensitive Inference Rules0
Expressivity and comparison of models of discourse structure0
SPred: Large-scale Harvesting of Semantic Predicates0
Collective Annotation of Linguistic Resources: Basic Principles and a Formal Model0
PLIS: a Probabilistic Lexical Inference System0
DErivBase: Inducing and Evaluating a Derivational Morphology Resource for German0
A Random Walk Approach to Selectional Preferences Based on Preference Ranking and PropagationCode0
Building Japanese Textual Entailment Specialized Data Sets for Inference of Basic Sentence Relations0
Learning Semantic Textual Similarity with Structural Representations0
Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation0
Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to ``Parse''?0
Recognizing Partial Textual Entailment0
Modeling Human Inference Process for Textual Entailment Recognition0
FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task0
Is a 204 cm Man Tall or Small ? Acquisition of Numerical Common Sense from the Web0
Cross-lingual Transfer of Semantic Role Labeling Models0
Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling0
ParaQuery: Making Sense of Paraphrase Collections0
The mathematics of language learning0
DISSECT - DIStributional SEmantics Composition Toolkit0
PARMA: A Predicate Argument AlignerCode0
CoMeT: Integrating different levels of linguistic modeling for meaning assessment0
The Life and Death of Discourse Entities: Identifying Singleton Mentions0
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis0
Metaphor Identification as Interpretation0
Large-Scale Paraphrasing for Natural Language Understanding0
PolyUCOMP-CORE\_TYPED: Computing Semantic Textual Similarity using Overlapped Senses0
SXUCFN-Core: STS Models Integrating FrameNet Parsing Information0
Show:102550
← PrevPage 37 of 40Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)% Test Accuracy94.7Unverified
2UnitedSynT5 (335M)% Test Accuracy93.5Unverified
3EFL (Entailment as Few-shot Learner) + RoBERTa-large% Test Accuracy93.1Unverified
4Neural Tree Indexers for Text Understanding% Test Accuracy93.1Unverified
5RoBERTa-large+Self-Explaining% Test Accuracy92.3Unverified
6RoBERTa-large + self-explaining layer% Test Accuracy92.3Unverified
7CA-MTL% Test Accuracy92.1Unverified
8SemBERT% Test Accuracy91.9Unverified
9MT-DNN-SMARTLARGEv0% Test Accuracy91.7Unverified
10MT-DNN-SMART_100%ofTrainingDataDev Accuracy91.6Unverified
#ModelMetricClaimedVerifiedStatus
1Vega v2 6B (KD-based prompt transfer)Accuracy96Unverified
2PaLM 540B (fine-tuned)Accuracy95.7Unverified
3Turing NLR v5 XXL 5.4B (fine-tuned)Accuracy94.1Unverified
4ST-MoE-32B 269B (fine-tuned)Accuracy93.5Unverified
5DeBERTa-1.5BAccuracy93.2Unverified
6MUPPET Roberta LargeAccuracy92.8Unverified
7DeBERTaV3largeAccuracy92.7Unverified
8T5-XXL 11BAccuracy92.5Unverified
9T5-XXL 11B (fine-tuned)Accuracy92.5Unverified
10ST-MoE-L 4.1B (fine-tuned)Accuracy92.1Unverified
#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)Matched92.6Unverified
2Turing NLR v5 XXL 5.4B (fine-tuned)Matched92.6Unverified
3T5-XXL 11B (fine-tuned)Matched92Unverified
4T5Matched92Unverified
5T5-11BMismatched91.7Unverified
6T5-3BMatched91.4Unverified
7ALBERTMatched91.3Unverified
8DeBERTa (large)Matched91.1Unverified
9Adv-RoBERTa ensembleMatched91.1Unverified
10SMARTRoBERTaDev Matched91.1Unverified