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 15511600 of 1978 papers

TitleStatusHype
Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical InvestigationCode0
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems0
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces0
Privacy Guarantees for De-identifying Text TransformationsCode0
KBot: a Knowledge graph based chatBot for natural language understanding over linked data0
Self-supervised Learning for Large-scale Item Recommendations0
Mono vs Multilingual Transformer-based Models: a Comparison across Several Language TasksCode0
From Spatial Relations to Spatial Configurations0
Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations0
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections0
Logic, Language, and Calculus0
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning0
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data0
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study0
CopyBERT: A Unified Approach to Question Generation with Self-Attention0
Using Alternate Representations of Text for Natural Language Understanding0
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences0
Can Wikipedia Categories Improve Masked Language Model Pretraining?0
Hypernymy Detection for Low-Resource Languages via Meta Learning0
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding0
Curriculum Learning for Natural Language Understanding0
Recursive Template-based Frame Generation for Task Oriented Dialog0
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?0
Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes0
ProVe -- Self-supervised pipeline for automated product replacement and cold-starting based on neural language modelsCode0
Neural Machine Translation For Paraphrase Generation0
Accelerated Large Batch Optimization of BERT Pretraining in 54 minutesCode0
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of GradientsCode0
Memory TransformerCode0
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network0
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors0
Consolidating Commonsense Knowledge0
Semantic Loss Application to Entity Relation Recognition0
Accelerating Natural Language Understanding in Task-Oriented DialogCode0
Conversational Machine Comprehension: a Literature Review0
Noise Robust Named Entity Understanding for Voice Assistants0
User Intent Inference for Web Search and Conversational Agents0
Contextual Dialogue Act Classification for Open-Domain Conversational AgentsCode0
Counterfactual Detection meets Transfer LearningCode0
Syntactic Structure Distillation Pretraining For Bidirectional Encoders0
History-Aware Question Answering in a Blocks World Dialogue System0
Refining Implicit Argument Annotation for UCCA0
A Complex KBQA System using Multiple Reasoning Paths0
Automatic Discovery of Novel Intents & Domains from Text Utterances0
(Re)construing Meaning in NLP0
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task0
CERT: Contrastive Self-supervised Learning for Language UnderstandingCode0
Language Conditioned Imitation Learning over Unstructured Data0
VirAAL: Virtual Adversarial Active Learning For NLUCode0
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)0
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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