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 601650 of 1978 papers

TitleStatusHype
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language ModelsCode2
Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs0
Large Language Models for User Interest Journeys0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study0
C-STS: Conditional Semantic Textual SimilarityCode1
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language ModelsCode1
Exploring Affordance and Situated Meaning in Image Captions: A Multimodal Analysis0
On Degrees of Freedom in Defining and Testing Natural Language Understanding0
Universal Self-Adaptive Prompting0
GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP0
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization0
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade0
Do prompt positions really matter?Code0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding0
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding0
Understanding Programs by Exploiting (Fuzzing) Test CasesCode1
Continual Dialogue State Tracking via Example-Guided Question AnsweringCode0
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations0
Question Answering as Programming for Solving Time-Sensitive QuestionsCode1
Can Large Language Models Capture Dissenting Human Voices?Code0
mPMR: A Multilingual Pre-trained Machine Reader at ScaleCode0
WYWEB: A NLP Evaluation Benchmark For Classical ChineseCode1
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingCode1
Atomic Inference for NLI with Generated Facts as AtomsCode0
Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense DisambiguationCode0
Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-TrainingCode0
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing0
Pruning Pre-trained Language Models with Principled Importance and Self-regularizationCode0
Extending Memory for Language Modelling0
Measuring and Mitigating Local Instability in Deep Neural Networks0
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass ModelCode0
Generalized Multiple Intent Conditioned Slot Filling0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
TESS: Text-to-Text Self-Conditioned Simplex DiffusionCode1
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal PerspectivesCode1
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative ExamplesCode0
Towards Versatile and Efficient Visual Knowledge Integration into Pre-trained Language Models with Cross-Modal Adapters0
A Comprehensive Analysis of Adapter EfficiencyCode1
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark0
Autonomous GIS: the next-generation AI-powered GISCode2
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps0
Bot or Human? Detecting ChatGPT Imposters with A Single QuestionCode1
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer0
Causality-aware Concept Extraction based on Knowledge-guided PromptingCode1
PMC-LLaMA: Towards Building Open-source Language Models for MedicineCode2
ChatLog: Carefully Evaluating the Evolution of ChatGPT Across TimeCode1
Zero-Shot Slot and Intent Detection in Low-Resource Languages0
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondCode6
LaMP: When Large Language Models Meet PersonalizationCode1
Meta Semantics: Towards better natural language understanding and reasoning0
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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