Ekbal et al., 2009 - Google Patents
Bengali named entity recognition using classifier combinationEkbal et al., 2009
- Document ID
- 8840569254082660080
- Author
- Ekbal A
- Bandyopadhyay S
- Publication year
- Publication venue
- 2009 Seventh International Conference on Advances in Pattern Recognition
External Links
Snippet
This paper reports about the development of a Named Entity Recognition (NER) system for Bengali by combining the outputs of the classifiers like Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM) using a majority voting approach …
- 238000011156 evaluation 0 abstract description 9
Classifications
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- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
- G06F17/277—Lexical analysis, e.g. tokenisation, collocates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30613—Indexing
- G06F17/30619—Indexing indexing structures
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- G06F17/30705—Clustering or classification
- G06F17/30707—Clustering or classification into predefined classes
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
- G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
- G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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- G06Q10/00—Administration; Management
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