Web: http://arxiv.org/abs/2205.01757

May 5, 2022, 1:11 a.m. | Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alex Jaimes, Hao Peng, Philip S. Yu

cs.CL updates on arXiv.org arxiv.org

Temporal Expression Extraction (TEE) is essential for understanding time in
natural language. It has applications in Natural Language Processing (NLP)
tasks such as question answering, information retrieval, and causal inference.
To date, work in this area has mostly focused on English as there is a scarcity
of labeled data for other languages. We propose XLTime, a novel framework for
multilingual TEE. XLTime works on top of pre-trained language models and
leverages multi-task learning to prompt cross-language knowledge transfer both
from …

arxiv cross cross-lingual extraction framework knowledge transfer

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