no code implementations • 26 Jan 2024 • Craig Messner, Tom Lippincott
We present a novel corpus consisting of orthographically variant words found in works of 19th century U. S. literature annotated with their corresponding "standard" word pair.
no code implementations • 25 Jan 2024 • Hale Sirin, Sabrina Li, Tom Lippincott
In this study, we present a generalizable workflow to identify documents in a historic language with a nonstandard language and script combination, Armeno-Turkish.
no code implementations • 25 Jan 2024 • Hale Sirin, Tom Lippincott
We present a novel combination of dynamic embedded topic models and change-point detection to explore diachronic change of lexical semantic modality in classical and early Christian Latin.
no code implementations • 1 Jan 2024 • Tom Lippincott
We introduce a graph-aware autoencoder ensemble framework, with associated formalisms and tooling, designed to facilitate deep learning for scholarship in the humanities.
no code implementations • WS 2019 • Tom Lippincott, Pamela Shapiro, Kevin Duh, Paul McNamee
Our submission to the MADAR shared task on Arabic dialect identification employed a language modeling technique called Prediction by Partial Matching, an ensemble of neural architectures, and sources of additional data for training word embeddings and auxiliary language models.
no code implementations • WS 2019 • Tom Lippincott
This work considers a task from traditional literary criticism: annotating a structured, composite document with information about its sources.
no code implementations • WS 2018 • Tom Lippincott
There is a long-standing interest in understanding the internal behavior of neural networks.
no code implementations • WS 2018 • Tom Lippincott, Annabelle Carrell
Twitter is a ubiquitous source of micro-blog social media data, providing the academic, industrial, and public sectors real-time access to actionable information.
no code implementations • IJCNLP 2017 • Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn Lawrie, Ch May, ler, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang
It combines a multitude of analytics together with a flexible environment for customizing the workflow for different users.