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 13011325 of 1978 papers

TitleStatusHype
Does Knowledge Help General NLU? An Empirical Study0
Approximating a Zulu GF concrete syntax with a neural network for natural language understanding0
InFoBERT: Zero-Shot Approach to Natural Language Understanding Using Contextualized Word Embedding0
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding0
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding0
Integrating Heuristics and Learning in a Computational Architecture for Cognitive Trading0
SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion0
A New Sentence Ordering Method Using BERT Pretrained Model0
Taming the Beast: Learning to Control Neural Conversational Models0
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering0
FeelsGoodMan: Inferring Semantics of Twitch Neologisms0
Joint Multiple Intent Detection and Slot Filling via Self-distillation0
An Investigation of the (In)effectiveness of Counterfactually Augmented Data0
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis0
LICHEE: Improving Language Model Pre-training with Multi-grained TokenizationCode0
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better GeneralizabilityCode0
Structure-aware Sentence Encoder in Bert-Based Siamese Network0
ADEPT: An Adjective-Dependent Plausibility Task0
Verb Metaphor Detection via Contextual Relation Learning0
TexSmart: A System for Enhanced Natural Language Understanding0
Local Structure Matters Most: Perturbation Study in NLU0
Goal-Oriented Script ConstructionCode0
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding0
Argument Linking: A Survey and Forecast0
An Efficient DP-SGD Mechanism for Large Scale NLP Models0
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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