forked from KEMT/zpwiki
1.1 KiB
1.1 KiB
| title | published | taxonomy | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Cesar Abascal Gutierrez | true |
|
Named entity annotations
Intern, probably summer 2019
Cesar Abascal Gutierrez cesarbielva1994@gmail.com
Goals
- Be able to recognize unknown named entities
- Create a manually annotated training set from speech transcripts
- Propose an annotation schema
Plan
- Convert speech transcripts into a training set
- Train and evaluate classifier
- Establish manual annotation
- Select unannotated data
Data preparation
Input: Transcriber transcripts with inconsistent annotations
* First small letter: regular word
* Capital: named entity
* ''^^'': faoreign word
* ''@'': noise
* ''_'': multi word expression
* ''/'': pronuncation
Output: A file that can be read by spacy convert
People
- Cesar Abascal Gutierrez cesarbielva1994@gmail.com
- Kyryl Kobzar
- Ediz Morochovič
Tools
* Machine learning : https://spacy.io/usage/training
* Manual Annotation : https://prodi.gy/