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 16511700 of 1978 papers

TitleStatusHype
Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data0
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding0
When Choosing Plausible Alternatives, Clever Hans can be Clever0
Comprehensive Multi-Dataset Evaluation of Reading Comprehension0
Graph Enhanced Cross-Domain Text-to-SQL Generation0
Commonsense inference in human-robot communication0
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation0
Graph-Based Semi-Supervised Learning for Natural Language Understanding0
Unsupervised Neologism Normalization Using Embedding Space Mapping0
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks0
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven DialogueCode0
Adversarial NLI: A New Benchmark for Natural Language UnderstandingCode0
GF + MMT = GLF -- From Language to Semantics through LF0
RNN based Incremental Online Spoken Language Understanding0
Using Speech Synthesis to Train End-to-End Spoken Language Understanding ModelsCode2
A Neural Entity Coreference Resolution Review0
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity0
On the Limits of Learning to Actively Learn Semantic Representations0
Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLUCode0
Linking artificial and human neural representations of languageCode0
Incremental processing of noisy user utterances in the spoken language understanding task0
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models0
Language-Agnostic Syllabification with Neural Sequence LabelingCode0
Reweighted Proximal Pruning for Large-Scale Language Representation0
Pre-trained Contextual Embedding of Source Code0
FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingCode1
Do Massively Pretrained Language Models Make Better Storytellers?Code0
TinyBERT: Distilling BERT for Natural Language UnderstandingCode0
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach0
Summary Level Training of Sentence Rewriting for Abstractive Summarization0
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots0
Grounding learning of modifier dynamics: An application to color namingCode0
Ludwig: a type-based declarative deep learning toolboxCode3
End-to-End Bias Mitigation by Modelling Biases in CorporaCode0
MOSS: End-to-End Dialog System Framework with Modular SupervisionCode0
Out-of-domain Detection for Natural Language Understanding in Dialog SystemsCode1
Symmetric Regularization based BERT for Pair-wise Semantic ReasoningCode0
Effective Use of Transformer Networks for Entity TrackingCode0
TabFact: A Large-scale Dataset for Table-based Fact VerificationCode0
Semantics-aware BERT for Language UnderstandingCode0
Transfer Fine-Tuning: A BERT Case StudyCode0
Enhancing Natural Language Understanding through Cross-Modal Interaction: Meaning Recovery from Acoustically Noisy Speech0
Exploiting Open IE for Deriving Multiple Premises Entailment Corpus0
Multi-Task Learning of System Dialogue Act Selection for Supervised Pretraining of Goal-Oriented Dialogue Policies0
An Improved Neural Baseline for Temporal Relation Extraction0
What You See is What You Get: Visual Pronoun Coreference Resolution in DialoguesCode0
A Dataset of General-Purpose Rebuttal0
NEZHA: Neural Contextualized Representation for Chinese Language UnderstandingCode0
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks0
Ensemble approach for natural language question answering problem0
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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