activity
20172022
most citedLeveraging Discourse Information Effectively for Authorship Attribution

6 citations · 13 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL20225 cited

Extractive Question Answering on Queries in Hindi and Tamil

Adhitya Thirumala, Elisa Ferracane

Indic languages like Hindi and Tamil are underrepresented in the natural language processing (NLP) field compared to languages like English. Due to this underrepresentation, perfor…

cs.CL2021

Did they answer? Subjective acts and intents in conversational discourse

Elisa Ferracane, Greg Durrett, Junyi Jessy Li +1

Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences. At the same time, discourse is embedded in a social context, meaning that in…

cs.CY20202 cited

Towards Fairness in Classifying Medical Conversations into SOAP Sections

Elisa Ferracane, Sandeep Konam

As machine learning algorithms are more widely deployed in healthcare, the question of algorithmic fairness becomes more critical to examine. Our work seeks to identify and underst…

cs.CL2019

Evaluating Discourse in Structured Text Representations

Elisa Ferracane, Greg Durrett, Junyi Jessy Li +1

Discourse structure is integral to understanding a text and is helpful in many NLP tasks. Learning latent representations of discourse is an attractive alternative to acquiring exp…

cs.CL2019

From News to Medical: Cross-domain Discourse Segmentation

Elisa Ferracane, Titan Page, Junyi Jessy Li +1

The first step in discourse analysis involves dividing a text into segments. We annotate the first high-quality small-scale medical corpus in English with discourse segments and an…

cs.CL20176 cited

Leveraging Discourse Information Effectively for Authorship Attribution

Su Wang, Elisa Ferracane, Raymond J. Mooney

We explore techniques to maximize the effectiveness of discourse information in the task of authorship attribution. We present a novel method to embed discourse features in a Convo…