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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 1801–1850 of 1978 papers

TitleStatusHype
A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling—0
Towards Compositional Distributional Discourse Analysis—0
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word ProblemsCode0
Underspecified Universal Dependency Structures as Inputs for Multilingual Surface Realisation—0
CogCompTime: A Tool for Understanding Time in Natural Language—0
Visual Re-ranking with Natural Language Understanding for Text SpottingCode0
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks—0
Variational Semi-supervised Aspect-term Sentiment Analysis via Transformer—0
Mind the GAP: A Balanced Corpus of Gendered Ambiguous PronounsCode0
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingCode3
Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective—0
Zooming Network—0
Active Learning for New Domains in Natural Language Understanding—0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Learning to Embed Semantic Correspondence for Natural Language Understanding—0
A Simple Machine Learning Method for Commonsense Reasoning? A Short Commentary on Trinh & Le (2018)—0
On the Winograd Schema: Situating Language Understanding in the Data-Information-Knowledge Continuum—0
Deep learning systems as complex networks—0
Automatic Data Expansion for Customer-care Spoken Language Understanding—0
A Re-ranker Scheme for Integrating Large Scale NLU models—0
From Audio to Semantics: Approaches to end-to-end spoken language understanding—0
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical ApplicationsCode0
Explicit Contextual Semantics for Text Comprehension—0
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension—0
The Text-Based Adventure AI CompetitionCode0
Concept Tagging for Natural Language Understanding: Two Decadelong Algorithm DevelopmentCode0
Statistical Model Compression for Small-Footprint Natural Language Understanding—0
A deep learning approach for understanding natural language commands for mobile service robots—0
Natural Language Processing for Information ExtractionCode0
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos—0
Chinese Lexical Analysis with Deep Bi-GRU-CRF NetworkCode0
Intent Generation for Goal-Oriented Dialogue Systems based on Schema.org Annotations—0
EmotionX-SmartDubai\_NLP: Detecting User Emotions In Social Media Text—0
Document Modeling with External Attention for Sentence ExtractionCode0
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining—0
Mining Cross-Cultural Differences and Similarities in Social Media—0
Jack the Reader -- A Machine Reading FrameworkCode0
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation—0
Efficient Large-Scale Neural Domain Classification with Personalized Attention—0
Visual Attention Model for Name Tagging in Multimodal Social Media—0
Jack the Reader - A Machine Reading FrameworkCode1
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning—0
Improving Language Understanding by Generative Pre-TrainingCode1
Know What You Don't Know: Unanswerable Questions for SQuADCode1
A Simple Method for Commonsense ReasoningCode0
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification—0
Building Advanced Dialogue Managers for Goal-Oriented Dialogue Systems—0
Stress Test Evaluation for Natural Language InferenceCode0
Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World—0
Leveraging Syntactic Constructions for Metaphor Identification—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