Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …

This paper seeks to identify the practices of information accuracy in the tourism information
environment by adapting the Systematic Literature Review (SLR) method. The SLR method …

Abstract Named Entity Recognition and Ty** (NER/NET) is a challenging task, especially
with long-tail entities such as the ones found in scientific publications. These entities (eg …

Social sensing has emerged as a pervasive and scalable sensing paradigm to collect
observations of the physical world from human sensors. A key advantage of social sensing …

We investigate the task of complex NER for the English language. The task is non-trivial due
to the semantic ambiguity of the textual structure and the rarity of occurrence of such entities …

High quality annotated named entity corpora are essential language resources, but fully
manual annotation is time-consuming. Interactive annotation offers an efficient alternative …

We introduce the task of detection of competing model entities from scientific documents. We
define competing models as those models that solve a particular task that is investigated in …

The relentless growth of scholarly publications, exemplified by the annual publication rate
exceeding 5 million articles, has posed a formidable challenge for researchers seeking …

The task of entity extraction has been thoroughly explored in the NLP community over the
last two decades. There is a myriad of downstream tasks for Natural Language …

A multicriteria data source selection (MCSS) scenario identifies, from a set of candidate data
sources, the subset that best meets users' needs. These needs are expressed using several …