SOTAVerified

Natural Language Understanding

Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.

Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?

Papers

Showing 701750 of 1978 papers

TitleStatusHype
A Probabilistic Generative Grammar for Semantic ParsingCode0
Neural Semantic EncodersCode0
Improving Tokenisation by Alternative Treatment of SpacesCode0
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation FusionCode0
Improving Non-autoregressive Generation with Mixup TrainingCode0
Improving In-Context Learning with Small Language Model EnsemblesCode0
Improving the Efficiency of Visually Augmented Language ModelsCode0
Down and Across: Introducing Crossword-Solving as a New NLP BenchmarkCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Imitation of Life: A Search Engine for Biologically Inspired DesignCode0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
A Puzzle-Based Dataset for Natural Language InferenceCode0
Improving Bias Mitigation through Bias Experts in Natural Language UnderstandingCode0
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of EventsCode0
Improving Grounded Natural Language Understanding through Human-Robot DialogCode0
Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement LearningCode0
ID10M: Idiom Identification in 10 LanguagesCode0
Identifying Distributional Perspective Differences from Colingual GroupsCode0
Hysteresis Activation Function for Efficient InferenceCode0
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference ResolutionCode0
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User ModelingCode0
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading ComprehensionCode0
Do Massively Pretrained Language Models Make Better Storytellers?Code0
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation ExtractionCode0
Efficient Adaptation of Pretrained Transformers for Abstractive SummarizationCode0
ExPUNations: Augmenting Puns with Keywords and ExplanationsCode0
Domain Adversarial Fine-Tuning as an Effective RegularizerCode0
IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsCode0
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1MCode0
A Generalized Framework of Sequence Generation with Application to Undirected Sequence ModelsCode0
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasetsCode0
How Decoding Strategies Affect the Verifiability of Generated TextCode0
Document Modeling with External Attention for Sentence ExtractionCode0
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language ModelsCode0
Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLUCode0
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI EvaluationCode0
bgGLUE: A Bulgarian General Language Understanding Evaluation BenchmarkCode0
Hierarchical Transformer for Task Oriented Dialog SystemsCode0
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation MetricsCode0
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt TuningCode0
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022Code0
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition AlignmentCode0
Grounding learning of modifier dynamics: An application to color namingCode0
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language ModelsCode0
Probing Linguistic Information For Logical Inference In Pre-trained Language ModelsCode0
Probing Linguistic SystematicityCode0
HeGeL: A Novel Dataset for Geo-Location from Hebrew TextCode0
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document MatchingCode0
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU TasksCode0
GPT-Neo for commonsense reasoning -- a theoretical and practical lensCode0
Show:102550
← PrevPage 15 of 40Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2UDSSM-II (ensemble)Accuracy78.3Unverified
3BERT-large 340MAccuracy78.3Unverified
4UDSSM-I (ensemble)Accuracy76.7Unverified
5DSSMAccuracy75Unverified
6UDSSM-IIAccuracy75Unverified
7BERT-base 110M + MASAccuracy68.3Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60Unverified
10Subword-level Transformer LMAccuracy58.3Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5Unverified
2BERT (none)Tags (Full) Acc82Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3Unverified
5RoBERTa + LinearFull F1 (Preps)78.2Unverified
6GloVe (none)Tags (Full) Acc77.5Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6Unverified
2Legal-BERTCaseHOLD75.1Unverified
3DeBERTaCaseHOLD72.1Unverified
4LongformerCaseHOLD72Unverified
5RoBERTaCaseHOLD71.7Unverified
6BERTCaseHOLD70.7Unverified
7BigBirdCaseHOLD70.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6Unverified
2ConvBERT-DG + Pre + MultiAverage73.8Unverified
3mslmAverage73.49Unverified
4ConvBERT + Pre + MultiAverage68.22Unverified
5BanLanGenAverage39.16Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89Unverified
2mslmAverage85.83Unverified
3ConvBERT-DG + Pre + MultiAverage85.34Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9Unverified
2BERT-LARGEAverage82.1Unverified