# Lookup Entity Extractor

**URL:** <https://forum.rasa.com/t/lookup-entity-extractor/30994>\
**Category:** Tutorials, Resources & Videos\
**Created:** [July 6, 2020, 3:27am UTC](https://forum.rasa.com/t/lookup-entity-extractor/30994 "2020-07-06T03:27:52Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![JiteshGaikwad](https://avatars.discourse-cdn.com/v4/letter/j/77aa72/32.png) [@JiteshGaikwad](https://forum.rasa.com/u/JiteshGaikwad)\
**Post date:** [July 6, 2020, 3:27am UTC](https://forum.rasa.com/t/lookup-entity-extractor/30994/1 "2020-07-06T03:27:52Z")

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Hi everyone,

I had built my own entity extractor similar to Lookup Tables. but this is not machine-learned but will try to extract entities from a list of data just like lookup tables but here it will try to do text matching from a list of examples. But how this will help the entity extraction process? so you don’t need to train the NLU model for the know list of examples but rather just pass it as a list and let the extractor extract the entities from the list of examples during prediction.

Code Repo: [https://github.com/JiteshGaikwad/LookupEntityExtractor](https://github.com/JiteshGaikwad/LookupEntityExtractor)

For the demo purpose I have used @koaning’s Pokemon Demo Bot, you can get it here:

[https://github.com/JiteshGaikwad/pokedex-demo](https://github.com/JiteshGaikwad/pokedex-demo)

Demo Video:

[![]( " - YouTube") ](https://www.youtube.com/watch?v=S9_Y08DxkCo)

Hope this helps 🙂

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**Author:** ![koaning](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/koaning/32/6626_2.png) [@koaning](https://forum.rasa.com/u/koaning)\
**Post date:** [July 6, 2020, 8:25am UTC](https://forum.rasa.com/t/lookup-entity-extractor/30994/2 "2020-07-06T08:25:45Z")

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This is a cool example; just sayin’.

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**Author:** ![koaning](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/koaning/32/6626_2.png) [@koaning](https://forum.rasa.com/u/koaning)\
**Post date:** [July 6, 2020, 8:26am UTC](https://forum.rasa.com/t/lookup-entity-extractor/30994/3 "2020-07-06T08:26:14Z")

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It’s actually a bit meta, because @Emma and myself were seriously discussing this exact issue last week.

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**Author:** ![JiteshGaikwad](https://avatars.discourse-cdn.com/v4/letter/j/77aa72/32.png) [@JiteshGaikwad](https://forum.rasa.com/u/JiteshGaikwad)\
**Post date:** [July 6, 2020, 11:13am UTC](https://forum.rasa.com/t/lookup-entity-extractor/30994/4 "2020-07-06T11:13:58Z")

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@koaning @Emma that’s great 🙂, I was first to implement it 😉