计算复杂性与组成三角模型和语义的可接受性

R. Delmonte
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引用次数: 3

摘要

在本文中,我们介绍了Ac-ComplIt任务所进行的工作。ItVENSES是一个句法和语义处理系统,它基于意大利语语法分析器ItGetaruns来分析每个句子。在以前的EVALITA任务中,我们只使用语义来生成结果。在今年的EVALITA中,我们使用了基于统计的方法和之前使用的语义方法。统计方法的特点是使用由系统计算的成分三元组,并根据VIT -威尼斯意大利树库的选区版本派生的三元组模型进行检查。根据相关性测量的结果不是特别高,低于可接受性任务的50%,略高于复杂性任务的30%。
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Venses @ AcCompl-It: Computing Complexity vs Acceptability with a Constituent Trigram Model and Semantics
In this paper we present work carried out for the Ac-ComplIt task. ItVENSES is a system for syntactic and semantic processing that is based on the parser for Italian called ItGetaruns to analyse each sentence. In previous EVALITA tasks we only used semantics to produce the results. In this year EVALITA, we used both a statistically based approach and the semantic one used previously. The statistic approach is characterized by the use of trigrams of constituents computed by the system and checked against a trigram model derived from the constituency version of VIT – Venice Italian Treebank. Results measured in term of a correlation, are not particularly high, below 50% the Acceptability task and slightly over 30% the Complexity one.
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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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