2019-11-19 12:07:02 +00:00
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---
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title: named-entity
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---
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# Named Entities
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## Goals
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- Be able to recognize unknown named entities
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- Create a manually annotated training set from speech transcripts
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- Propose an annotation schema
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## Plan
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- Convert speech transcripts into a training set
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- Train and evaluate classifier
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- Establish manual annotation
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- Select unannotated data
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### Data preparation
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Input: Transcriber transcripts with inconsistent annotations
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```
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* First small letter: regular word
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* Capital: named entity
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* ''^^'': faoreign word
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* ''@'': noise
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* ''_'': multi word expression
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* ''/'': pronuncation
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```
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Output: A file that can be read by `spacy convert`
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## People
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2020-01-23 09:57:43 +00:00
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- Cesar Abascal Gutierrez <cesarbielva1994@gmail.com>
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- Kyryl Kobzar
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2020-01-23 10:00:10 +00:00
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- Ediz Morochovič
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2019-11-19 12:07:02 +00:00
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## Tools
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```
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* Machine learning : https://spacy.io/usage/training
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* Manual Annotation : https://prodi.gy/
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```
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