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 1901–1950 of 1978 papers

TitleStatusHype
Motion-R1: Chain-of-Thought Reasoning and Reinforcement Learning for Human Motion Generation—0
Discourse-level Relation Extraction via Graph Pooling—0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—0
Multi-class Text Classification using BERT-based Active Learning—0
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model—0
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning—0
Multilingual Argument Mining: Datasets and Analysis—0
Multilingual Few-Shot Learning via Language Model Retrieval—0
Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model—0
Multilingual Pre-training with Universal Dependency Learning—0
Multilingual Text Representation—0
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning—0
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding—0
Multi-modal embeddings using multi-task learning for emotion recognition—0
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension—0
Multi-Prompting Decoder Helps Better Language Understanding—0
Multi-resolution Annotations for Emoji Prediction—0
Multi-round, Chain-of-thought Post-editing for Unfaithful Summaries—0
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction—0
Multi-step Natural Language Understanding—0
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention—0
Multi-Task Learning of System Dialogue Act Selection for Supervised Pretraining of Goal-Oriented Dialogue Policies—0
Multi-task learning to improve natural language understanding—0
Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis—0
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension—0
Multi-Task Networks With Universe, Group, and Task Feature Learning—0
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding—0
"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise—0
NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback—0
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?—0
Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial—0
Natural Language Generation—0
Natural Language Instructions for Intuitive Human Interaction with Robotic Assistants in Field Construction Work—0
Natural Language Processing for Dialects of a Language: A Survey—0
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey—0
Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain—0
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context—0
Natural Language Understanding with the Quora Question Pairs Dataset—0
Negation Detection in Dutch Spoken Human-Computer Conversations—0
Neighbor Contextual Information Learners for Joint Intent and Slot Prediction—0
NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models—0
Neural Architecture Search for Natural Language Understanding—0
Neural Machine Translation For Paraphrase Generation—0
Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration—0
Neural Networks for Text Correction and Completion in Keyboard Decoding—0
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version)—0
Neural Text Normalization with Subword Units—0
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment—0
Neurosymbolic Graph Enrichment for Grounded World Models—0
Newsalyze: Effective Communication of Person-Targeting Biases in News Articles—0
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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