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 11261150 of 1978 papers

TitleStatusHype
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering0
Using multiple ASR hypotheses to boost i18n NLU performance0
Using NLU in Context for Question Answering: Improving on Facebook's bAbI Tasks0
Using Pause Information for More Accurate Entity Recognition0
Variance Pruning: Pruning Language Models via Temporal Neuron Variance0
Rethinking the Instruction Quality: LIFT is What You Need0
VASTA: A Vision and Language-assisted Smartphone Task Automation System0
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models0
Verb Metaphor Detection via Contextual Relation Learning0
ViANLI: Adversarial Natural Language Inference for Vietnamese0
Vision-Language-Action Models: Concepts, Progress, Applications and Challenges0
Visual Attention Model for Name Tagging in Multimodal Social Media0
Visually Grounded Language Learning: a review of language games, datasets, tasks, and models0
Visual question answering: from early developments to recent advances -- a survey0
VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension0
VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding0
WaLDORf: Wasteless Language-model Distillation On Reading-comprehension0
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding0
Warped Language Models for Noise Robust Language Understanding0
Weakly Supervised Slot Tagging with Partially Labeled Sequences from Web Search Click Logs0
Web-API-Based Chatbot Generation with Analysis and Expansion for Training Sentences0
We Need to Talk About Classification Evaluation Metrics in NLP0
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding0
What Makes Good In-Context Examples for GPT-3?0
What Makes Machine Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types0
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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