Stefano Fiorucci - Fact Checking Rocks: how to build a fact-checking system
Channel: Plain Schwarz
Date: 21/06/2023

In this infodemic era, fact-checking is becoming a vital task. However, it is a complex and time-consuming activity.

In this talk, we will see how to combine Information Retrieval tools with modern Language Models to simply implement a fact-checking baseline with low human effort.

I will show you how to build a funny use case around rock music.

The application is based on several Python open-source libraries: Haystack, FAISS, Hugging Face Transformers, Sentence Transformers.
This step-by-step implementation will be an opportunity to learn more about Dense retrieval and Natural Language Inference models in a hands-on way. I will share some insights into developing modern Natural Language applications.

**Why it's relevant:**

Fact-checking is significant to the society, although it is still difficult to do automatically. Using modern NLP tools can help speed up and automate part of this task.

**What the audience will learn:**
- Dense retrieval for semantic search
- Natural Language Inference models
- How to build a fact-checking system using Haystack, FAISS, Hugging Face Transformers, Sentence Transformers.
- How to integrate powerful (Large) Language Models in your NLP applications, conditioning them to operate on your knowledge base
- How to efficiently combine tools from Information Retrieval, NLP, and Vector Search

Speaker: Stefano Fiorucci

More: https://2023.berlinbuzzwords.de/sessions/?id=EAD8JD

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