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 1451–1500 of 1978 papers

TitleStatusHype
Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles—0
STIL -- Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++Code0
Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches—0
Neural RST-based Evaluation of Discourse CoherenceCode1
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding—0
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and GenerationCode1
Towards Extracting Absolute Event Timelines From English Clinical ReportsCode0
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented DialogueCode1
Domain Adversarial Fine-Tuning as an Effective RegularizerCode0
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference ResolutionCode0
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word ProblemsCode1
SQuARE: Semantics-based Question Answering and Reasoning Engine—0
Vector Projection Network for Few-shot Slot Tagging in Natural Language UnderstandingCode1
Assessing the Severity of Health States based on Social Media Posts—0
Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution—0
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures—0
Question Directed Graph Attention Network for Numerical Reasoning over TextCode0
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation ExtractionCode0
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersCode2
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language UnderstandingCode1
Multi-modal embeddings using multi-task learning for emotion recognition—0
AutoTrans: Automating Transformer Design via Reinforced Architecture SearchCode1
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization—0
Discrete Word Embedding for Logical Natural Language Understanding—0
Is this sentence valid? An Arabic Dataset for Commonsense ValidationCode0
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation MetricsCode0
VisualSem: A High-quality Knowledge Graph for Vision and LanguageCode1
Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical InvestigationCode0
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces—0
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems—0
Privacy Guarantees for De-identifying Text TransformationsCode0
ConvBERT: Improving BERT with Span-based Dynamic ConvolutionCode1
KBot: a Knowledge graph based chatBot for natural language understanding over linked data—0
Self-supervised Learning for Large-scale Item Recommendations—0
From Spatial Relations to Spatial Configurations—0
Mono vs Multilingual Transformer-based Models: a Comparison across Several Language TasksCode0
Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations—0
Towards Debiasing Sentence RepresentationsCode1
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical ReasoningCode1
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring SystemsCode1
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections—0
Advances of Transformer-Based Models for News Headline GenerationCode1
Logic, Language, and Calculus—0
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning—0
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study—0
Can Wikipedia Categories Improve Masked Language Model Pretraining?—0
Using Alternate Representations of Text for Natural Language Understanding—0
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding—0
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences—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