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NLP tasks / problems AND Tutorial

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27 Documents

Finetuning LLaMa + Text-to-SQL

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2023-09-28 About

Jeremy Howard sur X : "I just uploaded a 90 minute tutorial, which is designed to be the one place I point coders at when they ask "hey, tell me everything I need to know about LLMs!"

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2023-09-24 About

Easily Finetune Llama 2 for Your Text-to-SQL Applications | by Jerry Liu | Aug, 2023

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2023-08-18 About

LangChain Tutorial: ChatGPT Over Your Data

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2023-06-06 About

building an AI-powered blog-analysis tool - Tools of the AI engineer - Softlandia

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2023-04-22 About

Nils Reimers sur Twitter : "Creating intent classes for chatbots is challenging This tutorial shows how to use sentence-transformers to find potentially overlapping intent classes and how to improve your data annotation work." / Twitter

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2022-02-19 About

Multi-domain Multilingual Question Answering

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2021-12-08 About

How to Fine-Tune Sentence-BERT for Question Answering | Capital One

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2021-11-21 About

Tutorial: Training AI bots to chat using MTurk and Facebook’s ParlAI | by Amazon Mechanical Turk | Happenings at MTurk

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2021-11-19 About

Which flavor of BERT should you use for your QA task? | by Olesya Bondarenko | Towards Data Science

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2020-10-04 About

Joint Intent Classification and Slot Filling with Transformers (Jupyter Notebook Viewer)

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2020-01-09 About

Transfer Learning in Natural Language Processing - Google Slides

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2019-06-04 About

A Technique for Building NLP Classifiers Efficiently with Transfer Learning and Weak Supervision

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2019-05-22 About

Sebastian Ruder sur Twitter : "Besides the obvious things (ELMo, BERT, etc.), is there anything that we should definitely discuss at the NAACL "Transfer Learning in NLP" tutorial?"

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2019-05-20 About

Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python - Analytics Vidhya

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2018-12-01 About

Deep Chit-Chat: deep learning for chatbots (EMNLP 2018 Tutorial)

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by Dr Wei Wu (Microsoft Xiaolce - chatbot with 200 millions users in China) and Dr Rui Yan (Peking Univ)

- Chit-chat (casual, non goal oriented) open-domain. Must be relevant to the context and diverse (informative) to be engaging.
- why creating a chat? to prove an AI can speak like a human, commercial reasons, link to services.

Task oriented vs non task oriented: this tutorial is about the second one.

Retrieval based vs generation based.

Basic knowledge of DL for chatbots:

- word embeddings
- sentence embeddings (CNN, RNN)
- dialogue modeling: seq-to-seq with attention

Response selection for retrieval based chatbots:

- single turn response selection (slides 37-57)
    - framework 1: matching with seq embeddings
    - framework 2: matching with message-response interaction (46)
    - extension of 1: KnowledgeMatching with External Knowledge (53)
    - extension of 2: RepresentationsMatching with Multiple Levels of Representations (54)
    - insights from comparison between 1 and 2 (57)
- multi turn response selection (62)
    - context is now: mess + history
    - again, 2 frameworks

Emerging directions (79):

- matching with better representations
    - Self-Attention (82)
    - fusing multiple types of repr. But how to fuse matters (83)
    - pre-training

Learning a matching model for response selection (84)

Generation based models for chatbots:

- single turn generarion (89)
    - Basic generation model
        - seq2seq
        - Attention
        - Bi-directional modeling
- multi turn generation
    - Contexts are important
    - Context sensitive models
    - Hierarchical context modeling
    - Latent variable modeling
    - Hierarchical memory networks

Diversity in conversations (99)

Content introducing (106)

Additional elements (113)

- Topics in cnversation
- Emotions

Persona in chat:

- Persona
- ...
- Knowledge
- Common sense

RL and Adversarial learning in conversations (125)

Evaluation (132)

Future trends:

- Reasoning in dialogues
- X-grounded dialogues

2018-11-06 About

Practical guide to text classification | Google Developers

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2018-07-23 About

Tutorial on Poincaré Embeddings (Jupyter Notebook )

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2018-05-20 About

Part-of-Speech tagging tutorial with the Keras Deep Learning library - Cdiscount TechBlog

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2018-04-13 About

Using pre-trained word embeddings in a Keras model

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2017-10-23 About

TensorFlow Neural Machine Translation (seq2seq) Tutorial

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2017-09-18 About

gensim : Similarity Queries using Annoy (Tutorial)

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2017-07-10 About

Gensim tutorials

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2017-06-23 About

Word2vec in gensim Tutorial | RaRe Technologies

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2017-06-01 About

Working With Text Data — scikit-learn documentation

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2015-10-21 About

Machine Learning Tutorial: The Max Entropy Text Classifier | DatumBox

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2014-04-08 About

Getting Started with Topic Modeling and MALLET

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2012-09-20 About