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
Hybrid MemNet for Extractive Summarization0
Learning and Evaluating Contextual Embedding of Source CodeCode0
WaLDORf: Wasteless Language-model Distillation On Reading-comprehension0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
Argument Mining: A Survey0
Semi-supervised Visual Feature Integration for Pre-trained Language Models0
Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired0
Cost-Based Goal Recognition Meets Deep Learning0
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue SystemsCode0
Learning to Control Latent Representations for Few-Shot Learning of Named Entities0
Bootstrapping NLU Models with Multi-task Learning0
Sparse associative memory based on contextual code learning for disambiguating word senses0
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text0
Unsupervised Pre-training for Natural Language Generation: A Literature Review0
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design0
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables0
Neural Architecture Search for Natural Language Understanding0
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding0
Increasing Robustness to Spurious Correlations using Forgettable Examples0
INSET: Sentence Infilling with INter-SEntential TransformerCode0
How Decoding Strategies Affect the Verifiability of Generated TextCode0
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World0
Deepening Hidden Representations from Pre-trained Language Models0
VASTA: A Vision and Language-assisted Smartphone Task Automation System0
Comprehensive Multi-Dataset Evaluation of Reading Comprehension0
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation0
Graph-Based Semi-Supervised Learning for Natural Language Understanding0
Commonsense inference in human-robot communication0
Graph Enhanced Cross-Domain Text-to-SQL Generation0
Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data0
Entity resolution for noisy ASR transcripts0
Unsupervised Neologism Normalization Using Embedding Space Mapping0
When Choosing Plausible Alternatives, Clever Hans can be Clever0
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding0
Adversarial NLI: A New Benchmark for Natural Language UnderstandingCode0
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks0
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven DialogueCode0
GF + MMT = GLF -- From Language to Semantics through LF0
RNN based Incremental Online Spoken Language Understanding0
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
Do Massively Pretrained Language Models Make Better Storytellers?Code0
Show:102550
← PrevPage 34 of 40Next →

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