# About multi word entity extraction and synonyms

**URL:** <https://forum.rasa.com/t/about-multi-word-entity-extraction-and-synonyms/25223>\
**Category:** Rasa Open Source\
**Created:** [February 25, 2020, 7:53am UTC](https://forum.rasa.com/t/about-multi-word-entity-extraction-and-synonyms/25223 "2020-02-25T07:53:31Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![eugeniumegherea](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/eugeniumegherea/32/7333_2.png) [@eugeniumegherea](https://forum.rasa.com/u/eugeniumegherea)\
**Post date:** [February 27, 2020, 6:39am UTC](https://forum.rasa.com/t/about-multi-word-entity-extraction-and-synonyms/25223/3 "2020-02-27T06:39:00Z")

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Hello, thanks for your reply

I have actually moved on and tried another approach to these problems.

For the first problem, I am no longer attempting to train my NLU to map airports to IATA codes. Instead I figured I will use a pretrained model (like Spacy GPE or FAC Entity) to find these entities and using an internal API will find relevant IATA codes as a list of options.

The second problem is very closely related to [RASA not filling in slots for entities detected by Spacy?](http://forum.rasa.com/t/rasa-not-filling-in-slots-for-entities-detected-by-spacy/24069). I am forced to use a workaround explained in the end of the post to achieve what I initially wanted: same entity in multiple slots. I will really appreciate if you can take a look and give feedback of the approaches discussed there

Thanks

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