920 citations · 2k across the 70 of their papers we have counts for
6 papers · 2 filters
Analyzing and learning the language for different types of harassment
Mohammadreza Rezvan, Saeedeh Shekarpour, Faisal Alshargi +3
Disclaimer: This paper is concerned with violent online harassment. To describe the subject at an adequate level of realism, examples of our collected tweets involve violent, threa…
Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter
Saeedeh Shekarpour, Ankita Saxena, Krishnaprasad Thirunarayan +2
The ever-growing datasets published on Linked Open Data mainly contain encyclopedic information. However, there is a lack of quality structured and semantically annotated datasets…
Leveraging Medical Sentiment to Understand Patients Health on Social Media
Shweta Yadav, Joy Sain, Amit Sheth +3
The unprecedented growth of Internet users in recent years has resulted in an abundance of unstructured information in the form of social media text. A large percentage of this pop…
A Practical Incremental Learning Framework For Sparse Entity Extraction
Hussein S. Al-Olimat, Steven Gustafson, Jason Mackay +2
This work addresses challenges arising from extracting entities from textual data, including the high cost of data annotation, model accuracy, selecting appropriate evaluation crit…
Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts
Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru +1
Although there is an emerging trend towards generating embeddings for primarily unstructured data and, recently, for structured data, no systematic suite for measuring the quality…
A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research
Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya +3
Having a quality annotated corpus is essential especially for applied research. Despite the recent focus of Web science community on researching about cyberbullying, the community…