DaDoEval @ EVALITA 2020: Same-Genre and Cross-Genre Dating of Historical Documents

S. Menini, Giovanni Moretti, R. Sprugnoli, Sara Tonelli
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引用次数: 7

Abstract

English. In this paper we introduce the DaDoEval shared task at EVALITA 2020, aimed at automatically assigning temporal information to documents written in Italian. The evaluation exercise comprises three levels of temporal granularity, from coarse-grained to year-based, and includes two types of test sets, either having the same genre of the training set, or a different one. More specifically, DaDoEval deals with the corpus of Alcide De Gasperi’s documents, providing both public documents and letters as test sets. Two systems participated in the competition, achieving results always above the baseline in all subtasks. As expected, coarse-grained classification into five periods is rather easy to perform automatically, while the year-based one is still an unsolved problem also due to the lack of enough training data for some years. Results showed also that, although De Gasperi’s letters in our test set were written in standard Italian and in a style which was not too colloquial, cross-genre classification yields remarkably lower results than the same-genre setting.1
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历史文献的同体裁和跨体裁年代测定
英语。在本文中,我们在EVALITA 2020上介绍了DaDoEval共享任务,旨在自动为用意大利语编写的文档分配时间信息。评估工作包括三个时间粒度级别,从粗粒度到基于年,并包括两种类型的测试集,要么具有相同类型的训练集,要么具有不同的训练集。更具体地说,DaDoEval处理Alcide De Gasperi的文档语料库,提供公共文档和信件作为测试集。两个系统参加了比赛,在所有子任务中都取得了高于基线的成绩。正如预期的那样,粗粒度的五期分类很容易自动执行,而基于年份的分类仍然是一个未解决的问题,这也是由于缺乏足够的多年训练数据。结果还表明,尽管在我们的测试集中,De Gasperi的信件是用标准意大利语写成的,而且风格不是太口语化,但跨体裁分类的结果明显低于同一体裁设置
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DIACR-Ita @ EVALITA2020: Overview of the EVALITA2020 Diachronic Lexical Semantics (DIACR-Ita) Task QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian (short paper) By1510 @ HaSpeeDe 2: Identification of Hate Speech for Italian Language in Social Media Data (short paper) HaSpeeDe 2 @ EVALITA2020: Overview of the EVALITA 2020 Hate Speech Detection Task KIPoS @ EVALITA2020: Overview of the Task on KIParla Part of Speech Tagging
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