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 13261350 of 1978 papers

TitleStatusHype
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents0
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationCode0
An Investigation of the (In)effectiveness of Counterfactually Augmented DataCode0
Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentation0
On joint training with interfaces for spoken language understanding0
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding0
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual EncodersCode0
Building Intelligent Autonomous Navigation Agents0
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization0
Mitigating Biases in Toxic Language Detection through Invariant RationalizationCode0
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models0
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection0
Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision0
Learning Slice-Aware Representations with Mixture of Attentions0
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain0
NewsEmbed: Modeling News through Pre-trained Document Representations0
Continuous Model Improvement for Language Understanding with Machine Translation0
Nora: The Well-Being Coach0
Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems0
Builder, we have done it: Evaluating & Extending Dialogue-AMR NLU Pipeline for Two Collaborative Domains0
Combining Weakly Supervised ML Techniques for Low-Resource NLU0
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?Code0
Identifying and Resolving Annotation Changes for Natural Language Understanding0
Comparing Test Sets with Item Response Theory0
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better GeneralizationCode0
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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