Nikolaus Nova Parulian

Orcid: 0000-0002-6971-0882

According to our database1, Nikolaus Nova Parulian authored at least 23 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
Trust the Process: Analyzing Prospective Provenance for Data Cleaning.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022
DCM explorer: a tool to support transparent data cleaning through provenance exploration.
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022

An Ensemble Framework for Dynamic Character Relationship Sentiment in Fiction.
Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

Uncovering Black Fantastic: Piloting A Word Feature Analysis and Machine Learning Approach for Genre Classification.
Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022

2021
An analysis of use and performance data aggregated from 35 institutional repositories.
Online Inf. Rev., 2021

Automatic Module Detection in Data Cleaning Workflows: Enabling Transparency and Recipe Reuse.
Int. J. Digit. Curation, 2021

or2yw: Modeling and Visualizing OpenRefineHistories as YesWorkflow Diagrams.
CoRR, 2021

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Efficient Attentions for Long Document Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Transparent Data Cleaning: The Data Cleaning Model Explorer (DCM/X).
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

A Model and System for Querying Provenance from Data Cleaning Workflows.
Proceedings of the Provenance and Annotation of Data and Processes, 2021

Identifying Creative Content at the Page Level in the HathiTrust Digital Library Using Machine Learning Methods on Text and Image Features.
Proceedings of the Diversity, Divergence, Dialogue, 2021

Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Effectiveness of the Execution and Prevention of Metric-Based Adversarial Attacks on Social Network Data †.
Inf., 2020

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.
CoRR, 2020

Evaluating a Machine Learning Approach to Identifying Expressive Content at Page Level in HathiTrust.
Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

COVID -19 pandemic and information diffusion analysis on Twitter.
Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020

2019
Modeling Provenance and Understanding Reproducibility for OpenRefine Data Cleaning Workflows.
Proceedings of the 11th International Workshop on Theory and Practice of Provenance, 2019

ReTracker: an Open-Source Plugin for Automated and Standardized Tracking of Retracted Scholarly Publications.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Adversarial perturbations to manipulate the perception of power and influence in networks.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Systematic examination of pre- and post-retraction citations.
Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019

ReTracker: Actively and automatically matching retraction metadata in zotero.
Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019


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