17 citations · 37 across the 13 of their papers we have counts for
4 papers · 1 filter
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
Mahsa Yarmohammadi, Shijie Wu, Marc Marone +10
Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other languag…
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information
Yuval Pinter, Amanda Stent, Mark Dredze +1
Commonly-used transformer language models depend on a tokenization schema which sets an unchangeable subword vocabulary prior to pre-training, destined to be applied to all downstr…
User Factor Adaptation for User Embedding via Multitask Learning
Xiaolei Huang, Michael J. Paul, Robin Burke +2
Language varies across users and their interested fields in social media data: words authored by a user across his/her interests may have different meanings (e.g., cool) or sentime…
Generating Synthetic Text Data to Evaluate Causal Inference Methods
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Drawing causal conclusions from observational data requires making assumptions about the true data-generating process. Causal inference research typically considers low-dimensional…