duckling
Giveme5W1H
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| duckling | Giveme5W1H | |
|---|---|---|
| 13 | 1 | |
| 4,012 | 500 | |
| 0.5% | - | |
| 0.0 | 0.0 | |
| 2 months ago | 8 months ago | |
| Haskell | HTML | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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duckling
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Experimental library for scraping websites using OpenAI's GPT API
For the reasons others have said I don't see it replacing 'traditional' scraping soon. But I am looking forward to it replacing current methods of extracting data from the scraped content.
I've been using Duckling [0] for extracting fuzzy dates and times from text. It does a good job but I needed a custom build with extra rules to make that into a great job. And that's just for dates, 1 of 13 dimensions supported. Being able to use an AI that handles them with better accuracy will be fantastic.
Does a specialised model trained to extract times and dates already exist? It's entity tagging but a specialised form (especially when dealing with historical documents where you may need Gregorian and Julian calendars).
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Automatisiert Kalendereinträge erstellen aus Mails mit Formatlosen Datumsangaben
Ah, sorry: https://github.com/facebook/duckling
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Transforming free-form geospatial directions into addresses - SOTA?
To understand what relative distance and direction is indicated from the reference point, I'd look into something like Facebook & Wit.AI's Duckling, and a custom classifier to identify if it's on the reference point ("corner of"), or some distance from ("200 meters southwest"). If you can parse out a distance and direction, then it's all logic to plot the point.
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Programming languages endorsed for server-side use at Meta
It also powers the backend of Wit.ai which FB owns. Wit's open-source entity parser, duckling, is written entirely in Haskell. https://github.com/facebook/duckling
- Data Cleaning using Machine Learning?
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Unsplash chatbot for Discord, Pt. 2: more ways to bring pictures to Discord
Our RandomPicForLater intent will have one slot called reminderTime and will be of type @duckling.time. Duckling is a library that extracts entities from text, and it is one of the tools used in JAICP for this purpose. Entity types in Duckling are called dimensions and there's a number of them built in, among them is Time which suits us perfectly since we need to ask users when they want us to schedule a post for and then parse a text input into a datetime object.
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Dependencies difference between cabal and stack
I'm working on a pretty interesting project right now and I'm having different results depending on the build tool used: with cabal, the test suite fails but it passes with stack.
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Running Duckling on Windows
Try downloading the v0.2.0.0 release, extracting it somewhere, opening that location in powershell, and running these commands:
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[ANN] Duckling v0.2.0.0 released
Duckling (https://github.com/facebook/duckling) is a library for parsing text into structured data.
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Extract name:value relationships from plain text
If you really want high precision, Duckling is a good project to check out https://github.com/facebook/duckling
Giveme5W1H
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Date extraction from text code/API's
https://github.com/fhamborg/Giveme5W1H (if you can get it running, I was unable to, maybe try python <3.8)
What are some alternatives?
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
ctparse - Parse natural language time expressions in python
Kornia - Geometric Computer Vision Library for Spatial AI
syntaxdot - Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
datefinder - Find dates inside text using Python and get back datetime objects
BLINK - Entity Linker solution
extractnet - A fork of Dragnet that also extract author, headline, date, keywords from context, as well as built in metadata extraction all in one package
semantic-source - Parsing, analyzing, and comparing source code across many languages
haxe.io - The home of the Haxe Roundup's (Work in Progress)