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 426450 of 1978 papers

TitleStatusHype
Supervised Knowledge Makes Large Language Models Better In-context LearnersCode0
PersianLLaMA: Towards Building First Persian Large Language Model0
Structured Probabilistic CodingCode1
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization0
Imitation of Life: A Search Engine for Biologically Inspired DesignCode0
TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Models0
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models InferenceCode0
Bengali Intent Classification with Generative Adversarial BERTCode0
Continuous Prompt Generation from Linear Combination of Discrete Prompt EmbeddingsCode0
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language0
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding0
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks0
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and EnvironmentsCode0
BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual PolynomialsCode1
Rethinking the Instruction Quality: LIFT is What You Need0
IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsCode0
Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage or Technical Possibility?0
Retrieval-based Video Language Model for Efficient Long Video Question Answering0
A Study on the Calibration of In-context LearningCode0
Efficient Large Language Models: A SurveyCode3
Improving Bias Mitigation through Bias Experts in Natural Language UnderstandingCode0
Visually Grounded Language Learning: a review of language games, datasets, tasks, and models0
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly0
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in NorwegianCode0
From Beginner to Expert: Modeling Medical Knowledge into General LLMs0
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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