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

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Showing 651–700 of 1978 papers

TitleStatusHype
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection—0
Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data—0
CFGs-2-NLU: Sequence-to-Sequence Learning for Mapping Utterances to Semantics and Pragmatics—0
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study—0
A Large Interlinked Knowledge Graph of the Italian Cultural Heritage—0
From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology—0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks—0
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection—0
From Virtual to Real: A Framework for Verbal Interaction with Robots—0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems—0
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings—0
Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study—0
CCoE: A Compact LLM with Collaboration of Experts—0
Evaluating Large Language Models on Financial Report Summarization: An Empirical Study—0
CBLUE: A Chinese Biomedical Language Understanding EvaluationBenchmark—0
A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems—0
From Audio to Semantics: Approaches to end-to-end spoken language understanding—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
Active Learning for New Domains in Natural Language Understanding—0
Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail?—0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation—0
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding—0
Evaluate On-the-job Learning Dialogue Systems and a Case Study for Natural Language Understanding—0
Étiquetage ou génération de séquences pour la compréhension automatique du langage en contexte d’interaction? (Sequence tagging or sequence generation for Natural Language Understanding ?)—0
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments—0
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric—0
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability—0
From Beginner to Expert: Modeling Medical Knowledge into General LLMs—0
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models—0
Evaluation of large language models using an Indian language LGBTI+ lexicon—0
Evaluation of the KomParse Conversational Non-Player Characters in a Commercial Virtual World—0
EventBERT—0
Causal Distillation for Language Models—0
Event Extraction: A Survey—0
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network—0
Event Linking: Grounding Event Mentions to Wikipedia—0
Argument Mining: A Survey—0
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—0
Entity resolution for noisy ASR transcripts—0
Evolving Neural Selection with Adaptive Regularization—0
Privately Fine-Tuning Large Language Models with Differential Privacy—0
Argument Linking: A Survey and Forecast—0
Examining Scaling and Transfer of Language Model Architectures for Machine Translation—0
FrameNet-like Annotation of Olfactory Information in Texts—0
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding—0
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web—0
Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture—0
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding—0
Towards Answering Open-ended Ethical Quandary Questions—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

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