Nikolaus Nova Parulian

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 24

Top Topics

Feature Analysis

Machine Learning

Top Venues

iConference (1)

Publications

Nikolaus Nova Parulian, Bertram Ludäscher
Trust the Process: Analyzing Prospective Provenance for Data Cleaning. WWW (Companion Volume) (2023)
Nikolaus Nova Parulian, Bertram Ludäscher
DCM explorer: a tool to support transparent data cleaning through provenance exploration. TaPP (2022)
Nikolaus Nova Parulian, Glen Worthey, J. Stephen Downie
An Ensemble Framework for Dynamic Character Relationship Sentiment in Fiction. iConference (1) (2022)
Nikolaus Nova Parulian, Ryan Dubnicek, Glen Worthey, Daniel J. Evans, John A. Walsh, J. Stephen Downie
Uncovering Black Fantastic: Piloting A Word Feature Analysis and Machine Learning Approach for Genre Classification. ASIST (2022)
Nikolaus Nova Parulian, Bertram Ludäscher
Towards Transparent Data Cleaning: The Data Cleaning Model Explorer (DCM/X). JCDL (2021)
Zixuan Zhang, Nikolaus Nova Parulian, Heng Ji, Ahmed Elsayed, Skatje Myers, Martha Palmer
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation. ACL/IJCNLP (1) (2021)
Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. BIBM (2021)
Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. CoRR (2021)
Kenning Arlitsch, Jonathan Wheeler, Minh Thi Ngoc Pham, Nikolaus Nova Parulian
An analysis of use and performance data aggregated from 35 institutional repositories. Online Inf. Rev. 45 (2) (2021)
Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) (2021)
Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang
Efficient Attentions for Long Document Summarization. NAACL-HLT (2021)
Nikolaus Nova Parulian, Lan Li, Bertram Ludäscher
or2yw: Modeling and Visualizing OpenRefineHistories as YesWorkflow Diagrams. CoRR (2021)
Nikolaus Nova Parulian, Glen Worthey
Identifying Creative Content at the Page Level in the HathiTrust Digital Library Using Machine Learning Methods on Text and Image Features. iConference (1) (2021)
Nikolaus Nova Parulian, Timothy M. McPhillips, Bertram Ludäscher
A Model and System for Querying Provenance from Data Cleaning Workflows. IPAW (2021)
Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang
Efficient Attentions for Long Document Summarization. CoRR (2021)
Ly Dinh, Nikolaus Nova Parulian
COVID -19 pandemic and information diffusion analysis on Twitter. ASIST (2020)
Nikolaus Nova Parulian, Kristina Hall, Ryan Dubnicek, Yuerong Hu, J. Stephen Downie
Evaluating a Machine Learning Approach to Identifying Expressive Content at Page Level in HathiTrust. DH (2020)
Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR (2020)
Nikolaus Nova Parulian, Tiffany Lu, Shubhanshu Mishra, Mihai Avram, Jana Diesner
Effectiveness of the Execution and Prevention of Metric-Based Adversarial Attacks on Social Network Data †. Inf. 11 (6) (2020)
Yi-Yun Cheng, Nikolaus Nova Parulian, Tzu-Kun Hsiao, Ly Dinh, Maria Janina Sarol, Jodi Schneider
ReTracker: Actively and automatically matching retraction metadata in zotero. ASIST (2019)
Timothy M. McPhillips, Lan Li, Nikolaus Nova Parulian, Bertram Ludäscher
Modeling Provenance and Understanding Reproducibility for OpenRefine Data Cleaning Workflows. TaPP (2019)
Ly Dinh, Maria Janina Sarol, Yi-Yun Cheng, Tzu-Kun Hsiao, Nikolaus Nova Parulian, Jodi Schneider
Systematic examination of pre- and post-retraction citations. ASIST (2019)
Ly Dinh, Yi-Yun Cheng, Nikolaus Nova Parulian
ReTracker: an Open-Source Plugin for Automated and Standardized Tracking of Retracted Scholarly Publications. JCDL (2019)
Mihai Valentin Avram, Shubhanshu Mishra, Nikolaus Nova Parulian, Jana Diesner
Adversarial perturbations to manipulate the perception of power and influence in networks. ASONAM (2019)