Natural Language Processing
15 talks from the 2023 edition.
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Accelerating Public Consultations with Large Language Models: A Case Study from the UK Planning Inspectorate
Michele Dallachiesa, Andreas Leed
Local Planning Authorities (LPAs) in the UK rely on written representations from the community to inform their Local Plans which outline development needs for their area. With an average of 2000 representations per...
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Ask-A-Question: an FAQ-answering service for when there's little to no data ▶ Recording 📝 Transcript
Suzin You
Doing data science in international development often means finding the right-sized solution in resource-constrained settings. This talk walks you through how my team helped answer thousands of questions from...
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Building a Personal Assistant With GPT and Haystack: How to Feed Facts to Large Language Models and Reduce Hallucination.
Mathis Lucka
Large Language Models (LLM), like ChatGPT, have shown miraculous performances on various tasks. But there are still unsolved issues with these models: they can be confidently wrong and their knowledge becomes...
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Contributing to an open-source content library for NLP ▶ Recording 📝 Transcript
Leonard Püttmann
Bricks is an open-source content library for natural language processing, which provides the building blocks to quickly and easily enrich, transform or analyze text data for machine learning projects. For many...
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Haystack for climate Q/A ▶ Recording 📝 Transcript
Vibha Vikram Rao
How can NLP and Haystack help answer sustainability questions and fight climate change? In this talk we walkthrough our experience using Haystack to build Question Answering Models for the climate change and...
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How Chatbots work – We need to talk! ▶ Recording 📝 Transcript
Yuqiong Weng, Katrin Reininger
Chatbots are fun to use, ranging from simple chit-chat (“How are you today?”) to more sophisticated use cases like shopping assistants, or the diagnosis of technical or medical problems. Despite their mostly simple...
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How to baseline in NLP and where to go from there ▶ Recording 📝 Transcript
Tobias Sterbak
In this talk, we will explore the build-measure-learn paradigm and the role of baselines in natural language processing (NLP). We will cover the common NLP tasks of classification, clustering, search, and named...
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How to teach NLP to a newbie & get them started on their first project ▶ Recording 📝 Transcript
Dr. Lisa Andreevna Chalaguine
The materials presented during this tutorial are open source and can be used by coaches and tutors who want to teach their students how to use Python for text processing and text classification. (A minimal...
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Incorporating GPT-3 into practical NLP workflows ▶ Recording 📝 Transcript
Ines Montani
In this talk, I'll show how large language models such as GPT-3 complement rather than replace existing machine learning workflows. Initial annotations are gathered from the OpenAI API via zero- or few-shot learning,...
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Methods for Text Style Transfer: Text Detoxification Case ▶ Recording 📝 Transcript
Daryna Dementieva
Global access to the Internet has enabled the spread of information throughout the world and has offered many new possibilities. On the other hand, alongside the advantages, the exponential and uncontrolled growth of...
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Prompt Engineering 101: Beginner intro to LangChain, the shovel of our ChatGPT gold rush."
Lev Konstantinovskiy
A modern AI start-up is a front-end developer plus a prompt engineer" is a popular joke on Twitter. This talk is about LangChain, a Python open-source tool for prompt engineering. You can use it with completely...
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The Battle of Giants: Causality vs NLP => From Theory to Practice ▶ Recording 📝 Transcript
Aleksander Molak
With an average of 3.2 new papers published on Arxiv every day in 2022, causal inference has exploded in popularity, attracting large amount of talent and interest from top researchers and institutions including...
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Using transformers – a drama in 512 tokens ▶ Recording 📝 Transcript
Marianne Stecklina
“Got an NLP problem nowadays? Use transformers! Just download a pretrained model from the hub!” - every blog article ever As if it’s that easy, because nearly all pretrained models have a very annoying limitation:...
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You are what you read: Building a personal internet front-page with spaCy and Prodigy
Victoria Slocum
Sometimes the internet can be a bit overwhelming, so I thought I would make a tool to create a personalized summary of it! In this talk, I'll demonstrate a personal front-page project that allows me to filter info on...
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“Who is an NLP expert?” - Lessons Learned from building an in-house QA-system
Nico Kreiling, Alina Bickel
Innovations such as sentence-transformers, neural search and vector databases fueled a very fast development of question-answering systems recently. At scieneers, we wanted to test those components to satisfy our own...