no code implementations • EMNLP (WNUT) 2020 • Bahareh Harandizadeh, Sameer Singh
Further, there is a lack of a large, linked corpus of tweets to aid researchers, along with lack of gold dataset to evaluate the accuracy of entity linking.
no code implementations • 22 Mar 2024 • Bahareh Harandizadeh, Abel Salinas, Fred Morstatter
This paper explores the pressing issue of risk assessment in Large Language Models (LLMs) as they become increasingly prevalent in various applications.
no code implementations • 13 Oct 2022 • Negar Mokhberian, Frederic R. Hopp, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman
Morality classification relies on human annotators to label the moral expressions in text, which provides training data to achieve state-of-the-art performance.
1 code implementation • 22 Nov 2021 • Bahareh Harandizadeh, J. Hunter Priniski, Fred Morstatter
By illuminating latent structures in a corpus of text, topic models are an essential tool for categorizing, summarizing, and exploring large collections of documents.
no code implementations • 21 Mar 2018 • Evgeny Krivosheev, Bahareh Harandizadeh, Fabio Casati, Boualem Benatallah
In this paper we describe how crowd and machine classifier can be efficiently combined to screen items that satisfy a set of predicates.