Massively multilingual pre-trained language models, such as mBERT and XLM-RoBERTa, have received significant attention in the recent NLP literature for their excellent capability towards crosslingual zero-shot transfer of tasks. This is especially promising because a large number languages no or very little labeled data supervised learning. Moreover, substantially improved performance on low re...

We firstly find the existence of silent event τ in true concurrency (named weakly true concurrency) by defining weakly true concurrent behaviors and weakly true concurrent logics. Based on Paolo Baldan and Silvia Crafa’s comprehensive work on (strongly) true concurrency, we find the correspondence between weakly true concurrent equivalences and weakly true concurrent logics.

The present article reports on efforts to improve the translation accuracy of a corpus–based Machine Translation (MT) system. In order to achieve that, an error analysis performed on past translation outputs has indicated the likelihood of improving the translation accuracy by augmenting the coverage of the Target-Language (TL) side language model. The method adopted for improving the language ...

Computational approaches to sentiment analysis focus on the identification, extraction, summarization and visualization of emotion and opinion expressed in texts. These tasks require large-scale language resources (LRs) developed either manually or semi-automatically. Building them from scratch, however, is a laborious and costly task, and re-using and repurposing already existing ones is a sol...

Model generation refers to the automatic construction of models for first-order logical theories and is used for instance to find solutions to logically encoded problem specifications. Handling these results may require an inspection of the generated models for crucial information, which is insufficiently supported by current simplistic presentation techniques. Improving these methods considera...

This paper shows that using linguistically motivated features for English that-complementizer choice in an averaged perceptron model for classification can improve upon the prediction accuracy of a state-of-the-art realization ranking model. We report results on a binary classification task for predicting the presence/absence of a that-complementizer using features adapted from Jaeger’s (2010) ...

We present SETIMES.HR— the first linguistically annotated corpus of Croatian that is freely available for all purposes. The corpus is built on top of the SETIMES parallel corpus of nine Southeast European languages and English. It is manually annotated for lemmas, morphosyntactic tags, named entities and dependency syntax. We couple the corpus with domain-sensitive test sets for Croatian and Se...