Textinator: an Internationalized Tool for Annotation and Human Evaluation in Natural Language Processing and Generation

被引:0
作者
Kalpakchi, Dmytro [1 ]
Boye, Johan [1 ]
机构
[1] KTH Royal Inst Technol, Div Speech Mus & Hearing, Stockholm, Sweden
来源
LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2022年
基金
瑞典研究理事会;
关键词
annotation tool; human evaluation tool; natural language processing; natural language generation;
D O I
10.5281/zenodo.6497334
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We release an internationalized annotation and human evaluation bundle, called Textinator, along with documentation and video tutorials. Textinator allows annotating data for a wide variety of NLP tasks, and its user interface is offered in multiple languages, lowering the entry threshold for domain experts. The latter is, in fact, quite a rare feature among the annotation tools, that allows controlling for possible unintended biases introduced due to hiring only English-speaking annotators. We illustrate the rarity of this feature by presenting a thorough systematic comparison of Textinator to previously published annotation tools along 9 different axes (with internationalization being one of them). To encourage researchers to design their human evaluation before starting to annotate data, Textinator offers an easy-to-use tool for human evaluations allowing importing surveys with potentially hundreds of evaluation items in one click. We finish by presenting several use cases of annotation and evaluation projects conducted using pre-release versions of Textinator. The presented use cases do not represent Textinator's full annotation or evaluation capabilities, and interested readers are referred to the online documentation for more information.
引用
收藏
页码:856 / 866
页数:11
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