A neural network intent parser
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Updated
Nov 10, 2021 - Python
A neural network intent parser
Deep Neural Networks for Call Of Duty Modern Warfare 2019
The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)
Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances (ACL 2024)
Giving AI to the Smart Mirror.
SAP Conversational AI official SDK for Python
ARR: QA with LLMs via Analyzing, Retrieving, and Reasoning
Data & code for DSTC12, Controllable Conversational Theme Detection track
Python library to extract intention and structured information from sentences written in natural language
SWI: Speaking with Intent in Large Language Models
This is a project that will use the simsimi API to create a chatterbot on the telegram to chat with other users, which can be used for testing purposes.
Convokit is a python based contextual chatbot framework
A lightweight and efficient intent classification model for natural language understanding (NLU) tasks. Designed for virtual assistants, chatbots, and voice-based applications. Supports customizable intents, multi-language data, and is easy to train and deploy.
This is chatbot that lets you implement custom python skills in a simple way. It features intent recognition and entity detection using a simple implementation interface.
Repository for the Seattle CoderDojo Alexa Workshop
Peque-NLU (Natural Language Understanding) is a Python library that allows to parse sentences written in natural language and extracts intends, features and information.
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