The paper presents a collection of resources developed for Information Extraction (IE) from Polish texts. In particular, we mention two IE platforms adapted to Polish and several IE applications built on top of one of them: named entity recognition, creation of terminology lexicons, and data extraction from medical texts.

Named Entity Recognition is a process through which a program extracts proper nouns in texts and associates them with a proper tag. NER has made significant progress in European languages, but in Indian languages due to the lack of effort as well as proper resources, it remains a challenging task. Recognizing ambiguities and assigning the correct tags to the names is the main goal of NER. Thus ...

This report describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast News task at EVALITA 2011. This task represented a change with respect to previous editions of the NER task within the EVALITA evaluation campaign because it was based on automatic transcription of broadcast news. Four participants took part in the task and submitted a total of 9 runs. In this p...

Active learning is a critical technique for reducing labelling load by selecting the most informative data. Most previous works applied active on Named Entity Recognition (token-level task) similar to text classification (sentence-level task). They failed consider heterogeneity of uncertainty within each sentence and required access entire annotator when labelling. To overcome mentioned limitat...

Lists of names are an important knowledge source for many systems which carry out named entity recognition. It is shown that augmenting hand-crafted lists with those derived from corpora can improve their performance. Two methods for improving automatically acquired lists are presented. The best corpus-derived lists are shown to out-perform the hand-crafted ones by 4%.

Despite significant advances in named entity extraction technologies, state-of-the-art extraction tools achieve insufficient accuracy rates for practical use in many operational settings. However, they are not all prone to the same types of error, suggesting that substantial improvements may be achieved via appropriate combinations of existing tools, provided their behavior can be accurately ch...

In this paper, a survey is done on various approaches used to recognize name entity in various Indian languages. Firstly, the introduction is given about the work done in the NER task. Then a survey is given about the work done in recognition of name entities in English and other foreign languages like Spanish, Chinese etc. In English language, lots of work has been done in this field, where ca...

Named Entity Recognition(NER) is the process of identifying and classifying all proper noun into pre-defined classes such as persons, locations, organization and others. Work on NER in Indian languages is a difficult and challenging task and also limited due to scarcity of resources, but it has started to appear recently. In this paper we present a brief overview of NER and its issues in the In...