Based on our record, WordNet should be more popular than Dialogflow. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Another option is Dialogflow, a powerful chatbot development platform by Google. Dialogflow utilizes AI and NLP technologies to understand and respond to user queries effectively. It offers advanced customization options, allowing businesses to create chatbots that align with their brand voice and personality. Dialogflow also integrates seamlessly with other Google services, making it suitable for companies... Source: 11 months ago
Using something like this would be a great way to get your IP address blacklisted by Google, with their dreaded “Unusual traffic from your computer network” error. There is no free Bard API for a reason. Google sells access via their Dialogflow product, and it’s very much not free. Source: about 1 year ago
Dialogflow - a natural language understanding platform for building conversational experiences. - Source: dev.to / over 1 year ago
First off, we have Dialogflow. If you haven’t used Dialogflow before, let me give you a 3-minute rundown of what it is to help you get started. - Source: dev.to / over 1 year ago
In my intern years, I worked at a company that specialised in creating short-term campaigns for businesses. One of those campaigns, was a voice assistant powered physical installation for a car show. The installation was a walk-in-booth with mirrors for walls and a screen in the middle of the room with a Chromium kiosk and our web app. The web app was built with: Vue as the UI framework, Dialogflow for handling... - Source: dev.to / over 1 year ago
TL;DR: The authors pretrain the model to classify images into Wordnet synsets[a] that appear in the caption, using a standard Cross Entropy loss. They keep the number of classes relatively small by removing any synsets that don't show up in captions at least 500 times in the dataset. It seems to work well. My immediate question is: Why not classify among the entire hierarchy of all Wordnet synsets? --- [a]... - Source: Hacker News / 2 months ago
To operationalize this intuition, the Microsoft and UC Berkeley researchers use WordNet and Wiktionary to augment the text in image-text pairs. The concept itself is augmented for isolated concepts, such as the class labels in ImageNet, whereas for captions (such as from GCC), the least common noun phrase is augmented. Equipped with this additional structured knowledge, contrastively pretrained models exhibit... - Source: dev.to / 4 months ago
If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 6 months ago
I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: over 1 year ago
What I'd do is work with a huge database like WordNet and then try to "extrapolate" BIP39 to 4096 words by creating queries against WordNet to obtain words meeting the constraints you'd like to keep. Source: over 1 year ago
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click
Botpress - Open-source platform for developers to build high-quality digital assistants
Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...
ChatBot - Easy to use chatbot platform for business
WordWeb - One-click lookup in any almost any Windows program; Hundreds of thousands of definitions and synonyms; The latest international English words; Works offline, or reference to Wikipedia and web references.