ISM@FIRE-2014
| Autor: | Sukomal Pal, Bharti Goel, Shantanu Dubey, Dinesh Kumar Prabhakar |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Conditional random field
Machine translation business.industry Computer science computer.software_genre Task (project management) Information extraction Entity linking ComputingMethodologies_PATTERNRECOGNITION Named-entity recognition Question answering Proper noun Artificial intelligence business computer Natural language processing |
| Zdroj: | FIRE |
| DOI: | 10.1145/2824864.2824881 |
| Popis: | This paper describes the approaches we have adopted to identify the classes of named entities and annotate them with proper tags. Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify the entity names (proper nouns) in a text. NER systems are useful in many Natural Language Processing (NLP) applications such as question answering, machine translation, information extraction and so on. IN this task, Conditional Random Field (CRF) is used for the classification where tokens are classified hierarchically. We discuss two approaches: one for the official submission and the other its extended version. The performance of our systems were moderate. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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