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 601–625 of 1978 papers

TitleStatusHype
Assessing the Severity of Health States based on Social Media Posts—0
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment—0
New Approaches for Natural Language Understanding based on the Idea that Natural Language encodes both Information and its Processing Procedures—0
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding—0
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering—0
Exploring and Evaluating Personalized Models for Code Generation—0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems—0
Assessing Language Comprehension in Large Language Models Using Construction Grammar—0
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations—0
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing—0
Assessing how hyperparameters impact Large Language Models' sarcasm detection performance—0
A Lexical Resource of Hebrew Verb-Noun Multi-Word Expressions—0
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data—0
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding—0
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims—0
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World—0
Adapting Task-Oriented Dialogue Models for Email Conversations—0
Class Vectors: Embedding representation of Document Classes—0
Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network—0
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency—0
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems—0
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning—0
ChocoLlama: Lessons Learned From Teaching Llamas Dutch—0
Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2BERT-large 340MAccuracy78.3—Unverified
3UDSSM-II (ensemble)Accuracy78.3—Unverified
4UDSSM-I (ensemble)Accuracy76.7—Unverified
5DSSMAccuracy75—Unverified
6UDSSM-IIAccuracy75—Unverified
7BERT-base 110M + MASAccuracy68.3—Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7—Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60—Unverified
10Subword-level Transformer LMAccuracy58.3—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5—Unverified
2BERT (none)Tags (Full) Acc82—Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81—Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3—Unverified
5RoBERTa + LinearFull F1 (Preps)78.2—Unverified
6GloVe (none)Tags (Full) Acc77.5—Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1—Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2—Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2—Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6—Unverified
2Legal-BERTCaseHOLD75.1—Unverified
3DeBERTaCaseHOLD72.1—Unverified
4LongformerCaseHOLD72—Unverified
5RoBERTaCaseHOLD71.7—Unverified
6BERTCaseHOLD70.7—Unverified
7BigBirdCaseHOLD70.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6—Unverified
2ConvBERT-DG + Pre + MultiAverage73.8—Unverified
3mslmAverage73.49—Unverified
4ConvBERT + Pre + MultiAverage68.22—Unverified
5BanLanGenAverage39.16—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89—Unverified
2mslmAverage85.83—Unverified
3ConvBERT-DG + Pre + MultiAverage85.34—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9—Unverified
2BERT-LARGEAverage82.1—Unverified