Text clustering is a text mining task which is often used to aid the organization, knowledge extraction, and exploratory search of text collections. Nowadays, the automatic text clustering becomes essential as the volume ...

In the different areas of knowledge, textual data are important sources of information. This way, Information Extraction methods have been developed to identify and structure information present in textual documents. In ...

Unsupervised features based on word representations such as word embeddings and word collocations have shown to significantly improve supervised NER for English. In this work we investigate whether such unsupervised features ...

Web Services have become essential to the software industry as they represent reusable, remotely accessible functionality and data. Since Web Services must be discovered before being consumed, many discovery approaches ...

Métodos tradicionais de extração de informação na web normalmente utilizam regras rígidas para extrair dados relevantes de páginas da internet. Estes métodos são ade- quados para resolver tarefas de extração dentro de ...

The Entity Linking (EL) task involves linking mentions of entities in a text with their identifier in a Knowledge Base (KB) such as Wikipedia, BabelNet, DBpedia, Freebase, Wikidata, YAGO, etc. Numerous techniques have been ...

The increasing amount of textual documents, especially those related to biomedical literature, has encouraged many researches in Text Mining. One important field of investigation relates to Named Entities Recognition ...