Lack of sufficient parallel data for many languages and domains is currently one of the major
obstacles to further advancement of automated translation. The ACCURAT project is …

Abstract Information Extraction (IE) often involves some amount of partial syntactic
processing. This is clear in cases of interesting highlevel IE tasks, such as finding …

Information technology changes our everyday lives. We typically use computers for writing,
editing, calculating, and information searching, and increasingly for reading, listening to …

The paper presents results of an experiment dealing with sentiment analysis of Croatian text
from the domain of finance. The goal of the experiment was to design a system model for …

Named entity extraction tools designed for recognizing named entities in texts written in
standard language (eg, news stories or legal texts) have been shown to be inadequate for …

This article presents the results of the evaluation campaign of language tools available for
fifteen EU-official under-resourced languages. The evaluation was conducted within the …

This paper presents the linguistic analysis tools and its infrastructure developed within the
XLike project. The main goal of the implemented tools is to provide a set of functionalities for …

Summarizing an article with just a few keyphrases can be a difficult task, even for trained
experts. Large-scale keyphrase extraction requires a method that is fast and reliable, and yet …

We explore three different methods for improving Named Entity Recognition (NER) systems
based on BERT, each responding to one of three potential issues: the processing of …

CroNER: Recognizing Named Entities in Croatian Using Conditional Random Fields 1
Introduction 2 Related work Page 1 Informatica 37 (2013) 165–172 165 CroNER: Recognizing …