Cross-linguistically consistent annotation is necessary for sound comparative evaluation
and cross-lingual learning experiments. It is also useful for multilingual system development …

Explaining the variation between human languages and the constraints on that variation is a
core goal of linguistics. In the last 20 y, it has been claimed that many striking universals of …

Revisiting the now de facto standard Stanford dependency representation, we propose an
improved taxonomy to capture grammatical relations across languages, including …

This paper investigates the ability of multilingual BERT (mBERT) language model to transfer
syntactic knowledge cross-lingually, verifying if and to which extent syntactic dependency …

Due to the spread of social media-based applications and the challenges posed by the
treatment of social media texts in NLP tools, tailored approaches and ad hoc resources are …

Large-scale morphological databases provide essential input to a wide range of NLP
applications. Inflectional data is of particular importance for morphologically rich …

The Acceptability and Complexity eval-uation task for Italian (AcCompl-it) wasaimed at
develo** and evaluating meth-ods to classify Italian sentences accordingto Acceptability …

The work presented in this paper investigates the ability of BERT neural language model
pretrained in Italian to embed syntactic dependency relationships into its layers, by …

In this paper, we propose a new approach to construct a system of transformation rules for
the Part-of-Speech (POS) tagging task. Our approach is based on an incremental …

In this we paper present Tint 2.0, an open-source, fast and extendable Natural Language
Processing suite for Italian based on Stanford CoreNLP. The new release includes some …