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 12011225 of 1978 papers

TitleStatusHype
A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge0
A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation0
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize0
Adversarial Training for Large Neural Language Models0
A Family of Pretrained Transformer Language Models for Russian0
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices0
Aff2Vec: Affect--Enriched Distributional Word Representations0
Agent-Specific Deontic Modality Detection in Legal Language0
A Goal-oriented Neural Conversation Model by Self-Play0
A Graph Neural Network Approach for Product Relationship Prediction0
A Hybrid Model of Classification and Generation for Spatial Relation Extraction0
A Hybrid Neural Network Model for Commonsense Reasoning0
A Hybrid Neuro-Symbolic approach for Text-Based Games using Inductive Logic Programming0
A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining0
AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution0
Towards Answering Open-ended Ethical Quandary Questions0
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments0
A Large Interlinked Knowledge Graph of the Italian Cultural Heritage0
A Large-Scale Multilingual Disambiguation of Glosses0
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems0
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems0
A Lexical Resource of Hebrew Verb-Noun Multi-Word Expressions0
A Linguistic Study on Relevance Modeling in Information Retrieval0
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization0
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice0
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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