Ningyu Zhang

According to our database1, Ningyu Zhang authored at least 90 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Low-resource extraction with knowledge-aware pairwise prototype learning.
Knowl. Based Syst., 2022

Robust triple extraction with cascade bidirectional capsule network.
Expert Syst. Appl., 2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
CoRR, 2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.
CoRR, 2022

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning.
CoRR, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.
CoRR, 2022

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs.
CoRR, 2022

Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective.
CoRR, 2022

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer.
CoRR, 2022

OntoProtein: Protein Pretraining With Gene Ontology Embedding.
CoRR, 2022

Kformer: Knowledge Injection in Transformer Feed-Forward Layers.
CoRR, 2022

Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings.
CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
CoRR, 2022

Ontology-enhanced Prompt-tuning for Few-shot Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
Contrastive Information Extraction With Generative Transformer.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training.
CoRR, 2021

3D-Transformer: Molecular Representation with Transformer in 3D Space.
CoRR, 2021

Learning to Ask for Data-Efficient Event Argument Extraction.
CoRR, 2021

SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis.
CoRR, 2021

Knowledge Perceived Multi-modal Pretraining in E-commerce.
CoRR, 2021

LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER.
CoRR, 2021

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.
CoRR, 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
CoRR, 2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba.
CoRR, 2021

Interventional Aspect-Based Sentiment Analysis.
CoRR, 2021

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.
CoRR, 2021

Text-guided Legal Knowledge Graph Reasoning.
CoRR, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.
CoRR, 2021

ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Field Embedding: A Unified Grain-Based Framework for Word Representation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Noisy-Labeled NER with Confidence Estimation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Knowledge Perceived Multi-modal Pretraining in E-commerce.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Document-level Relation Extraction as Semantic Segmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Disentangled Contrastive Learning for Learning Robust Textual Representations.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

On Robustness and Bias Analysis of BERT-Based Relation Extraction.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

MLBiNet: A Cross-Sentence Collective Event Detection Network.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

OntoED: Low-resource Event Detection with Ontology Embedding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Triple Extraction with Generative Transformer.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Context-Aware Deep Model for Entity Recommendation System in Search Engine at Alibaba.
J. Multim. Process. Technol., 2020

Finding Influential Instances for Distantly Supervised Relation Extraction.
CoRR, 2020

The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis.
CoRR, 2020

Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction.
CoRR, 2020

Conceptualized Representation Learning for Chinese Biomedical Text Mining.
CoRR, 2020

Domain-Specific Modeling Languages in Computer-Based Learning Environments: a Systematic Approach to Support Science Learning through Computational Modeling.
Int. J. Artif. Intell. Educ., 2020

Relation Adversarial Network for Low Resource Knowledge Graph Completion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Joint Extraction of Triple Knowledge Based on Relation Priority.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Using Computational Modeling to Integrate Science and Engineering Curricular Activities.
Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

OpenUE: An Open Toolkit of Universal Extraction from Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Relation Adversarial Network for Low Resource KnowledgeGraph Completion.
CoRR, 2019

Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba.
CoRR, 2019

Improving Few-shot Text Classification via Pretrained Language Representations.
CoRR, 2019

Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning.
CoRR, 2019

Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Analyzing Students' Design Solutions in an NGSS-Aligned Earth Sciences Curriculum.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Structured Knowledge Base as Prior Knowledge to Improve Urban Data Analysis.
ISPRS Int. J. Geo Inf., 2018

Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction.
CoRR, 2018

Attention-Based Capsule Network with Dynamic Routing for Relation Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
A Review of Image Recognition with Deep Convolutional Neural Network.
Proceedings of the Intelligent Computing Theories and Application, 2017

Characterizing Students' Learning Behaviors Using Unsupervised Learning Methods.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016
Semantic Framework of Internet of Things for Smart Cities: Case Studies.
Sensors, 2016

Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies.
ISPRS Int. J. Geo Inf., 2016

ELM Meets Urban Big Data Analysis: Case Studies.
Comput. Intell. Neurosci., 2016

Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis.
Comput. Intell. Neurosci., 2016

2015
Large-Scale Real-Time Semantic Processing Framework for Internet of Things.
Int. J. Distributed Sens. Networks, 2015

Elastic Streaming Semantic Engine for Web of Things.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014
Time-series processing of large scale remote sensing data with extreme learning machine.
Neurocomputing, 2014

Big smog meets web science: smog disaster analysis based on social media and device data on the web.
Proceedings of the 23rd International World Wide Web Conference, 2014

HBaseSpatial: A Scalable Spatial Data Storage Based on HBase.
Proceedings of the 13th IEEE International Conference on Trust, 2014

SparkRDF: Elastic Discreted RDF Graph Processing Engine With Distributed Memory.
Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

Monitoring Urban Waterlogging Disaster Using Social Sensors.
Proceedings of the Semantic Web and Web Science - 8th Chinese Conference, 2014

2013
When big data meets big smog: a big spatio-temporal data framework for China severe smog analysis.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2013

OWL reasoning over big biomedical data.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013


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