In this paper, we propose a rule based (transformation based) named entity recognition system which uses the Brill rule inference approach. To measure its performance, we compare the performance of the rule-based system and IdentiFinder, one of the most successful stochastic systems. In the baseline case (no punctuation and no capitalisation), both systems show almost equal performance. They al...

This paper aims to analyse the effects of including gaming entities in performance NER system, for English language and a machine translation industrial context customer support content. To identify classify (by Named Entity Recognition (NER) model), three new categories were created added already used annotation typology: GAME NAME, FEATURE CURRENCY. A set reference annotations (gold standard)...

This paper presents a novel system HENNA (Hybrid Person Name Analyzer) for identifying language origin and analyzing linguistic structures of person names. We conduct ME-based classification methods for the language origin identification and achieve very promising performance. We will show that word-internal character sequences provide surprisingly strong evidence for predicting the language or...

Named entities in text are persons, places, companies, etc. that are explicitly mentioned in text using proper nouns. The process of finding named entities in a text and classifying them to a semantic type, is called named entity recognition. Resolution of named entities is the process of linking a mention of a name in text to a pre-existing database entry. This grounds the mention in something...

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Biomedical named entity recognition (BNER) has been actively studied over the years, and several BNER systems have become publicly available. In this study, we investigate the utility of a simple voting method called at-least-n voting to improve gene name recognition, which takes advantage of the availability of BNER systems in the domain. We found this voting scheme is effective in combining B...

Although the literature contains reports of very high accuracy figures for the recognition of named entities in text, there are still some named entity phenomena that remain problematic for existing text processing systems. One of these is the ambiguity of conjunctions in candidate named entity strings, an all-too-prevalent problem in corporate and legal documents. In this paper, we distinguish...