Search Results for author: Tom Lippincott

Found 6 papers, 0 papers with code

JHU System Description for the MADAR Arabic Dialect Identification Shared Task

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.

Dialect Identification Language Modelling +1

Graph convolutional networks for exploring authorship hypotheses

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.

General Classification

Observational Comparison of Geo-tagged and Randomly-drawn Tweets

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.

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