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 476500 of 1978 papers

TitleStatusHype
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU0
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models0
Cost-Based Goal Recognition Meets Deep Learning0
Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU0
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning0
A Deep Learning System for Domain-specific Speech Recognition0
Core Building Blocks: Next Gen Geo Spatial GPT Application0
COREALMLIB: An ALM Library Translated from the Component Library0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification0
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT0
Deepening Hidden Representations from Pre-trained Language Models0
DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc0
Learning to Embed Categorical Features without Embedding Tables for Recommendation0
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System0
Deep learning systems as complex networks0
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE0
Deep Natural Language Understanding of News Text0
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications0
DEEPYANG at SemEval-2020 Task 4: Using the Hidden Layer State of BERT Model for Differentiating Common Sense0
A New Sentence Ordering Method Using BERT Pretrained Model0
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization0
Deliberation Model for On-Device Spoken Language Understanding0
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla0
CopyBERT: A Unified Approach to Question Generation with Self-Attention0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2BERT-large 340MAccuracy78.3Unverified
3UDSSM-II (ensemble)Accuracy78.3Unverified
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