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 15011550 of 1978 papers

TitleStatusHype
Curriculum Learning for Natural Language Understanding0
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data0
Recursive Template-based Frame Generation for Task Oriented Dialog0
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?0
Hypernymy Detection for Low-Resource Languages via Meta Learning0
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity DetectionCode1
Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes0
Rethinking Positional Encoding in Language Pre-trainingCode1
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
Multi-branch Attentive TransformerCode1
EPIE Dataset: A Corpus For Possible Idiomatic ExpressionsCode1
A Generative Model for Joint Natural Language Understanding and GenerationCode1
Consolidating Commonsense Knowledge0
MC-BERT: Efficient Language Pre-Training via a Meta ControllerCode1
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors0
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant TweetsCode1
Semantic Loss Application to Entity Relation Recognition0
DeBERTa: Decoding-enhanced BERT with Disentangled AttentionCode2
Accelerating Natural Language Understanding in Task-Oriented DialogCode0
Conversational Machine Comprehension: a Literature Review0
Noise Robust Named Entity Understanding for Voice Assistants0
Contextual Dialogue Act Classification for Open-Domain Conversational AgentsCode0
User Intent Inference for Web Search and Conversational Agents0
Syntactic Structure Distillation Pretraining For Bidirectional Encoders0
Counterfactual Detection meets Transfer LearningCode0
History-Aware Question Answering in a Blocks World Dialogue System0
Refining Implicit Argument Annotation for UCCA0
Automatic Discovery of Novel Intents & Domains from Text Utterances0
A Complex KBQA System using Multiple Reasoning Paths0
(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
The Unstoppable Rise of Computational Linguistics in Deep Learning0
State of the Art Models for Fake News Detection TasksCode1
A Dataset for Statutory Reasoning in Tax Law Entailment and Question AnsweringCode1
Probing Linguistic SystematicityCode0
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference0
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical StructureCode1
Potential, Challenges and Future Directions for Deep Learning in Prognostics and Health Management Applications0
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring ExpressionsCode1
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?0
IsoBN: Fine-Tuning BERT with Isotropic Batch NormalizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2BERT-large 340MAccuracy78.3Unverified
3UDSSM-II (ensemble)Accuracy78.3Unverified
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