A Simple Yet Effective Approach for Named Entity Recognition from Transcribed Broadcast News

Author:

Chowdhury Md. Faisal Mahbub

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Schmid, H.: Probabilistic Part-of-Speech Tagging Using Decision Trees. In: International Conference on New Methods in Language Processing, Manchester, UK, pp. 44–49 (1994)

2. Kubala, F., Schwartz, R., Stone, R., Weischedel, R.: Named Entity Extraction From Speech. In: Proceedings of DARPA Broadcast News Transcription and Understanding Workshop, Virginia, USA, pp. 287–292 (1998)

3. Appelt, D.E., Martin, D.: Named Entity Recognition in Speech: Approach and Results Using the TextPro System. In: Proceedings DARPA Broadcast News Workshop, Virginia, USA, pp. 51–54 (1999)

4. McCallum, A.K.: Mallet: A Machine Learning for Language Toolkit (2002), http://mallet.cs.umass.edu

5. Horlock, J., King, S.: Named Entity Extraction from Word Lattices. In: Eurospeech (2003)

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1. Comparing Named Entity Recognition on Transcriptions and Written Texts;Harmonization and Development of Resources and Tools for Italian Natural Language Processing within the PARLI Project;2015

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