no code implementations • 16 Jun 2023 • Adhitya Thirumala, Elisa Ferracane
For Task 2, we experiment with two approaches: using a question-answering model to identify the span of text of the spoiler, and using a large language model (LLM) to generate the spoiler.
no code implementations • 27 Sep 2022 • Adhitya Thirumala, Elisa Ferracane
The goal of this project is to build an NLP model that performs better than pre-existing models for the task of extractive question-answering (QA) on a public dataset in Hindi and Tamil.
1 code implementation • NAACL 2021 • Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences.
no code implementations • 2 Dec 2020 • Elisa Ferracane, Sandeep Konam
As machine learning algorithms are more widely deployed in healthcare, the question of algorithmic fairness becomes more critical to examine.
1 code implementation • ACL 2019 • Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk
Discourse structure is integral to understanding a text and is helpful in many NLP tasks.
1 code implementation • WS 2019 • Elisa Ferracane, Titan Page, Junyi Jessy Li, Katrin Erk
The first step in discourse analysis involves dividing a text into segments.
1 code implementation • IJCNLP 2017 • Su Wang, Elisa Ferracane, Raymond J. Mooney
We explore techniques to maximize the effectiveness of discourse information in the task of authorship attribution.