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 14511475 of 1978 papers

TitleStatusHype
Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Graph0
Leveraging Semantic Representations Combined with Contextual Word Representations for Recognizing Textual Entailment in Vietnamese0
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling0
Leveraging Syntactic Constructions for Metaphor Identification0
Lexicon-Free Conversational Speech Recognition with Neural Networks0
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network0
LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation0
Lightweight Transformers for Conversational AI0
LiLiuM: eBay's Large Language Models for e-commerce0
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity0
Linguistic features for sentence difficulty prediction in ABSA0
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language0
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions0
LLM-assisted Vector Similarity Search0
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search0
LLM for SoC Security: A Paradigm Shift0
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection0
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements0
Local Structure Matters Most in Most Languages0
Local Structure Matters Most: Perturbation Study in NLU0
Logical analysis of natural language semantics to solve the problem of computer understanding0
Logical forms complement probability in understanding language model (and human) performance0
Logically Consistent Language Models via Neuro-Symbolic Integration0
Logic, Language, and Calculus0
Logic Pre-Training of Language 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