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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 1961 papers

TitleStatusHype
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training—0
An Analysis under a Unified Fomulation of Learning Algorithms with Output Constraints—0
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service—0
Determining is-a relationships for Textual Entailment—0
Detecting Subevent Structure for Event Coreference Resolution—0
Balanced Adversarial Training: Balancing Tradeoffs Between Oversensitivity and Undersensitivity in NLP Models—0
An analysis of textual inference in German customer emails—0
Detecting Stance in Tweets And Analyzing its Interaction with Sentiment—0
Detecting Semantic Equivalence and Information Disparity in Cross-lingual Documents—0
BaIT: Barometer for Information Trustworthiness—0
Detecting Negated and Uncertain Information in Biomedical and Review Texts—0
Detecting Metaphorical Phrases in the Polish Language—0
Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction—0
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation—0
Detecting Logical Relation In Contract Clauses—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation—0
Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature—0
Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence—0
A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores—0
A critique of word similarity as a method for evaluating distributional semantic models—0
Detecting Bipolar Semantic Relations among Natural Language Arguments with Textual Entailment: a Study.—0
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection—0
AXCEL: Automated eXplainable Consistency Evaluation using LLMs—0
Designing NLP Systems That Adapt to Diverse Worldviews—0
A Word-Embedding-based Sense Index for Regular Polysemy Representation—0
Design and Realization of the EXCITEMENT Open Platform for Textual Entailment—0
Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology—0
DErivBase: Inducing and Evaluating a Derivational Morphology Resource for German—0
DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian—0
A Wide-Coverage Symbolic Natural Language Inference System—0
AWE: Asymmetric Word Embedding for Textual Entailment—0
Dependency-Based Open Information Extraction—0
DeModify: A Dataset for Analyzing Contextual Constraints on Modifier Deletion—0
DEIM: An effective deep encoding and interaction model for sentence matching—0
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer—0
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data—0
Automatic Nominalization of Clauses—0
Analysis of the Fed's communication by using textual entailment model of Zero-Shot classification—0
Acquisition of Phrase Correspondences using Natural Deduction Proofs—0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets—0
Automatic Knowledge Acquisition for Case Alternation between the Passive and Active Voices in Japanese—0
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways—0
Automatic Identification of Narrative Diegesis and Point of View—0
Analysis and Mitigation of Dataset Artifacts in OpenAI GPT-3—0
Deep Learning for Natural Language Inference—0
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning—0
Automatic Extraction of Implicit Interpretations from Modal Constructions—0
AnaLog: Testing Analytical and Deductive Logic Learnability in Language Models—0
Affective Common Sense Knowledge Acquisition for Sentiment Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)% Test Accuracy94.7—Unverified
2UnitedSynT5 (335M)% Test Accuracy93.5—Unverified
3EFL (Entailment as Few-shot Learner) + RoBERTa-large% Test Accuracy93.1—Unverified
4Neural Tree Indexers for Text Understanding% Test Accuracy93.1—Unverified
5RoBERTa-large + self-explaining layer% Test Accuracy92.3—Unverified
6RoBERTa-large+Self-Explaining% Test Accuracy92.3—Unverified
7CA-MTL% Test Accuracy92.1—Unverified
8SemBERT% Test Accuracy91.9—Unverified
9MT-DNN-SMARTLARGEv0% Test Accuracy91.7—Unverified
10MT-DNN-SMART_100%ofTrainingDataDev Accuracy91.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Vega v2 6B (KD-based prompt transfer)Accuracy96—Unverified
2PaLM 540B (fine-tuned)Accuracy95.7—Unverified
3Turing NLR v5 XXL 5.4B (fine-tuned)Accuracy94.1—Unverified
4ST-MoE-32B 269B (fine-tuned)Accuracy93.5—Unverified
5DeBERTa-1.5BAccuracy93.2—Unverified
6MUPPET Roberta LargeAccuracy92.8—Unverified
7DeBERTaV3largeAccuracy92.7—Unverified
8T5-XXL 11B (fine-tuned)Accuracy92.5—Unverified
9T5-XXL 11BAccuracy92.5—Unverified
10UL2 20B (fine-tuned)Accuracy92.1—Unverified
#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)Matched92.6—Unverified
2Turing NLR v5 XXL 5.4B (fine-tuned)Matched92.6—Unverified
3T5-XXL 11B (fine-tuned)Matched92—Unverified
4T5Matched92—Unverified
5T5-11BMismatched91.7—Unverified
6T5-3BMatched91.4—Unverified
7ALBERTMatched91.3—Unverified
8Adv-RoBERTa ensembleMatched91.1—Unverified
9DeBERTa (large)Matched91.1—Unverified
10SMARTRoBERTaDev Matched91.1—Unverified