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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–950 of 1978 papers

TitleStatusHype
Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense DisambiguationCode0
Atomic Inference for NLI with Generated Facts as AtomsCode0
Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-TrainingCode0
Pruning Pre-trained Language Models with Principled Importance and Self-regularizationCode0
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing—0
Extending Memory for Language Modelling—0
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass ModelCode0
Measuring and Mitigating Local Instability in Deep Neural Networks—0
Generalized Multiple Intent Conditioned Slot Filling—0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative ExamplesCode0
Towards Versatile and Efficient Visual Knowledge Integration into Pre-trained Language Models with Cross-Modal Adapters—0
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark—0
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps—0
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer—0
Zero-Shot Slot and Intent Detection in Low-Resource Languages—0
Meta Semantics: Towards better natural language understanding and reasoning—0
Low-resource Bilingual Dialect Lexicon Induction with Large Language ModelsCode0
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity—0
Towards preserving word order importance through Forced InvalidationCode0
User Adaptive Language Learning Chatbots with a Curriculum—0
Uncertainty-Aware Natural Language Inference with Stochastic Weight AveragingCode0
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document GenerationCode0
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents—0
Evaluation of ChatGPT for NLP-based Mental Health Applications—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing—0
A Deep Learning System for Domain-specific Speech Recognition—0
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models—0
Trustera: A Live Conversation Redaction System—0
Let's Get Personal: Personal Questions Improve SocialBot Performance in the Alexa Prize—0
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing—0
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance—0
Understanding Natural Language Understanding Systems. A Critical Analysis—0
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks—0
Few-shot Multimodal Multitask Multilingual Learning—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
Scalable Prompt Generation for Semi-supervised Learning with Language Models—0
Role of Bias Terms in Dot-Product Attention—0
Is Multimodal Vision Supervision Beneficial to Language?Code0
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance—0
Reliable Natural Language Understanding with Large Language Models and Answer Set Programming—0
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models—0
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?—0
Probing Taxonomic and Thematic Embeddings for Taxonomic Information—0
Neural Architecture Search: Insights from 1000 PapersCode0
A Cohesive Distillation Architecture for Neural Language Models—0
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models—0
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language UnderstandingCode0
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation MethodCode0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2UDSSM-II (ensemble)Accuracy78.3—Unverified
3BERT-large 340MAccuracy78.3—Unverified
4UDSSM-I (ensemble)Accuracy76.7—Unverified
5DSSMAccuracy75—Unverified
6UDSSM-IIAccuracy75—Unverified
7BERT-base 110M + MASAccuracy68.3—Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7—Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60—Unverified
10Subword-level Transformer LMAccuracy58.3—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5—Unverified
2BERT (none)Tags (Full) Acc82—Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81—Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3—Unverified
5RoBERTa + LinearFull F1 (Preps)78.2—Unverified
6GloVe (none)Tags (Full) Acc77.5—Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1—Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2—Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2—Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6—Unverified
2Legal-BERTCaseHOLD75.1—Unverified
3DeBERTaCaseHOLD72.1—Unverified
4LongformerCaseHOLD72—Unverified
5RoBERTaCaseHOLD71.7—Unverified
6BERTCaseHOLD70.7—Unverified
7BigBirdCaseHOLD70.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6—Unverified
2ConvBERT-DG + Pre + MultiAverage73.8—Unverified
3mslmAverage73.49—Unverified
4ConvBERT + Pre + MultiAverage68.22—Unverified
5BanLanGenAverage39.16—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89—Unverified
2mslmAverage85.83—Unverified
3ConvBERT-DG + Pre + MultiAverage85.34—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9—Unverified
2BERT-LARGEAverage82.1—Unverified