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 501–525 of 1978 papers

TitleStatusHype
A Deep Learning System for Domain-specific Speech Recognition—0
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification—0
Core Building Blocks: Next Gen Geo Spatial GPT Application—0
COREALMLIB: An ALM Library Translated from the Component Library—0
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents—0
BaSCo: An Annotated Basque-Spanish Code-Switching Corpus for Natural Language Understanding—0
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding—0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models—0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification—0
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations—0
End-to-End Self-Debiasing Framework for Robust NLU Training—0
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting—0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models—0
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
Convo: What does conversational programming need? An exploration of machine learning interface design—0
Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding—0
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding—0
Conversation Routines: A Prompt Engineering Framework for Task-Oriented Dialog Systems—0
Conversational Machine Comprehension: a Literature Review—0
Analyzing Bagging Methods for Language Models—0
Conversational AI: The Science Behind the Alexa Prize—0
A deep learning approach for understanding natural language commands for mobile service robots—0
A character representation enhanced on-device Intent Classification—0
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics—0
Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2UDSSM-II (ensemble)Accuracy78.3—Unverified
3BERT-large 340MAccuracy78.3—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