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 501525 of 1978 papers

TitleStatusHype
A Deep Learning System for Domain-specific Speech Recognition0
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification0
Core Building Blocks: Next Gen Geo Spatial GPT Application0
COREALMLIB: An ALM Library Translated from the Component Library0
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents0
BaSCo: An Annotated Basque-Spanish Code-Switching Corpus for Natural Language Understanding0
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification0
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations0
End-to-End Self-Debiasing Framework for Robust NLU Training0
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models0
CopyBERT: A Unified Approach to Question Generation with Self-Attention0
Convo: What does conversational programming need? An exploration of machine learning interface design0
Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding0
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding0
Conversation Routines: A Prompt Engineering Framework for Task-Oriented Dialog Systems0
Conversational Machine Comprehension: a Literature Review0
Analyzing Bagging Methods for Language Models0
Conversational AI: The Science Behind the Alexa Prize0
A deep learning approach for understanding natural language commands for mobile service robots0
A character representation enhanced on-device Intent Classification0
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics0
Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities0
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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