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 1401–1450 of 1978 papers

TitleStatusHype
KRAG Framework for Enhancing LLMs in the Legal Domain—0
Krikri: Advancing Open Large Language Models for Greek—0
Label Anchored Contrastive Learning for Language Understanding—0
Label-guided Data Augmentation for Prompt-based Few Shot Learners—0
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks—0
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression—0
LangResearchLab_NC at FinCausal 2020, Task 1: A Knowledge Induced Neural Net for Causality Detection—0
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling—0
Language Generation for Broad-Coverage, Explainable Cognitive Systems—0
Language Model is All You Need: Natural Language Understanding as Question Answering—0
Language Models are Crossword Solvers—0
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems—0
Language (Re)modelling: Towards Embodied Language Understanding—0
Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer—0
Language Understanding for Field and Service Robots in a Priori Unknown Environments—0
Large Language Model Adaptation for Financial Sentiment Analysis—0
Large Language Model-Empowered Interactive Load Forecasting—0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study—0
Large Language Models for Automatic Milestone Detection in Group Discussions—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Large Language Models for Networking: Workflow, Advances and Challenges—0
Large Language Models for User Interest Journeys—0
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features—0
Large-scale Foundation Models and Generative AI for BigData Neuroscience—0
Large-Scale Paraphrasing for Natural Language Understanding—0
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization—0
Later Span Adaptation for Language Understanding—0
Layer-wise Regularized Dropout for Neural Language Models—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
Learning and Evaluating General Linguistic Intelligence—0
Learning Chess Blindfolded—0
Learning Conceptual-Contextual Embeddings for Medical Text—0
Learning Executable Semantic Parsers for Natural Language Understanding—0
Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification—0
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding—0
Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision—0
Learning Robust Dialog Policies in Noisy Environments—0
Learnings from Federated Learning in the Real world—0
Learning Shortcuts: On the Misleading Promise of NLU in Language Models—0
Learning Slice-Aware Representations with Mixture of Attentions—0
Learning To Avoid Negative Transfer in Few Shot Transfer Learning—0
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models—0
Learning to Control Latent Representations for Few-Shot Learning of Named Entities—0
Learning to Embed Semantic Correspondence for Natural Language Understanding—0
Learning to Rank for Plausible Plausibility—0
Learning to Rank Intents in Voice Assistants—0
Learning To Retrieve Prompts for In-Context Learning—0
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting—0
Let's Get Personal: Personal Questions Improve SocialBot Performance in the Alexa Prize—0
Leveraging ChatGPT's Multimodal Vision Capabilities to Rank Satellite Images by Poverty Level: Advancing Tools for Social Science Research—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2BERT-large 340MAccuracy78.3—Unverified
3UDSSM-II (ensemble)Accuracy78.3—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