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ntu-english-tense-predictor's Introduction

NTU English Tense Predictor

Introduction

A rule-based English tense predictor based on the output of the dependency parser like Stanford CoreNLP.

Usage

python3 predict.py sample.in
sample.in contains a number of sentences which are parsed by a depdendency parser in the Stanford format.

Download Toolkit

Download ntu_eng_tense_predictor.zip for the toolkit.

How to Cite this resource

Please cite the following paper when referring to NTU English Tense Predictor in academic publications and papers.

Hen-Hsen Huang, Chang-Rui Yang, and Hsin-Hsi Chen. 2016. Chinese Tense Labelling and Causal Analysis. In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), December 11-16, 2016, Osaka, Japan.

ntu-english-tense-predictor's People

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