Qingkai Zeng

Affiliations:
  • University of Notre Dame, Notre Dame, IN, USA


According to our database1, Qingkai Zeng authored at least 24 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
ChatEL: Entity Linking with Chatbots.
CoRR, 2024

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
CoRR, 2024

EntGPT: Linking Generative Large Language Models with Knowledge Bases.
CoRR, 2024

2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data.
CoRR, 2022

Automatic Controllable Product Copywriting for E-Commerce.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding.
ACM Trans. Intell. Syst. Technol., 2021

Biomedical Knowledge Graphs Construction From Conditional Statements.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Validating Label Consistency in NER Data Annotation.
CoRR, 2021

Enhancing Factual Consistency of Abstractive Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Technical Question Answering across Tasks and Domains.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Validating Label Consistency in NER Data Annotation.
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

2020
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph.
CoRR, 2020

Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Towards Semantically Guided Traceability.
Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Technical Question Answering System with Transfer Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Crossing Variational Autoencoders for Answer Retrieval.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System.
Proceedings of the World Wide Web Conference, 2019

Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Through the eyes of a poet: classical poetry recommendation with visual input on social media.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Multi-Type Itemset Embedding for Learning Behavior Success.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


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