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Talks at PyData Bangalore meetups
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Extracting Names from multi-lingual conversation #11

Closed meghanabhange closed 5 years ago

meghanabhange commented 5 years ago

Extracting Names from multi-lingual conversation

Description

Chatbots are an upcoming and automated way employed by businesses to communicate with their clients. An important aspect of personalising this communication is to employ natural language rather than use text boxes with strict bounds. As part of this, it is important to extract named entities(to understand the customer’s name) from messages written in unstructured, natural language. This problem is called Named Entity Recognition.

Named Entity Recognition for Chats can face several issues like inputs consisting of-

This talk would focus on creating an efficient NER for chats by tweaking the current state of the art NER’s

Duration

Audience

Prerequisites: This is a beginner friendly talk. Prior knowledge of NLP jargon is not expected.

Outline

NirantK commented 5 years ago

Woohoo @meghanabhange 💯 🎉

vinayak-mehta commented 5 years ago

@meghanabhange Are you available to present it this Saturday?

meghanabhange commented 5 years ago

Yes. I'll be available.

vinayak-mehta commented 5 years ago

Awesome, see you on Saturday! I've updated the agenda on the Meetup event. You have the first talk at 10:30am.

vinayak-mehta commented 5 years ago

@meghanabhange Can you post the slides here?

meghanabhange commented 5 years ago

@vinayak-mehta Yepp. Here are the talk slides :)

https://docs.google.com/presentation/d/1J6655pke8YM_fuXjLmWABGLcuWh5kWD6u6v9FD22si8/edit?usp=sharing

vinayak-mehta commented 5 years ago

Thanks!