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 1301–1350 of 1961 papers

TitleStatusHype
Improving Composition of Sentence Embeddings through the Lens of Statistical Relational Learning—0
Natural Language Inference with Monotonicity—0
Questions in Dependent Type Semantics—0
Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language InferenceCode0
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity ReasoningCode0
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension—0
Generating Token-Level Explanations for Natural Language Inference—0
Understanding Roles and Entities: Datasets and Models for Natural Language Inference—0
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding—0
Evaluating Coherence in Dialogue Systems using EntailmentCode0
Composition of Sentence Embeddings:Lessons from Statistical Relational Learning—0
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesCode0
Temporal and Aspectual EntailmentCode0
Distilling Task-Specific Knowledge from BERT into Simple Neural NetworksCode0
Learning To Avoid Negative Transfer in Few Shot Transfer Learning—0
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary SentenceCode0
LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsCode0
Adversarial attacks against Fact Extraction and VERification—0
Inherent Disagreements in Human Textual Inferences—0
Cooperative Learning of Disjoint Syntax and SemanticsCode0
Star-TransformerCode0
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task LearningCode0
Multi-Task Deep Neural Networks for Natural Language UnderstandingCode0
Visual Entailment: A Novel Task for Fine-Grained Image Understanding—0
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language InferenceCode0
Multi-turn Inference Matching Network for Natural Language InferenceCode0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching—0
A corpus of precise natural textual entailment problems—0
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?—0
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
Attention Boosted Sequential Inference Model—0
Parameter Re-Initialization through Cyclical Batch Size Schedules—0
GLoMo: Unsupervised Learning of Transferable Relational Graphs—0
Non-entailed subsequences as a challenge for natural language inference—0
Visual Entailment Task for Visually-Grounded Language Learning—0
Answering Science Exam Questions Using Query Reformulation with Background Knowledge—0
Analyzing Compositionality-Sensitivity of NLI ModelsCode0
Combining Fact Extraction and Verification with Neural Semantic Matching NetworksCode0
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language InferenceCode0
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksCode0
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake NewsCode0
Zero-shot Relation Classification as Textual Entailment—0
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification—0
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension—0
Neural sentence generation from formal semantics—0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks—0
An End-to-End Multi-task Learning Model for Fact Checking—0
Textual Entailment based Question Generation—0
A mostly unlexicalized model for recognizing textual entailment—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% Test Accuracy92.3—Unverified
6RoBERTa-large + self-explaining layer% 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 11BAccuracy92.5—Unverified
9T5-XXL 11B (fine-tuned)Accuracy92.5—Unverified
10ST-MoE-L 4.1B (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
8DeBERTa (large)Matched91.1—Unverified
9Adv-RoBERTa ensembleMatched91.1—Unverified
10SMARTRoBERTaDev Matched91.1—Unverified