TEXTOIR is the first opensource toolkit for text open intent recognition. (ACL 2021)

Constructing a corpus of ancient Chinese pediatric medicine literature, using algorithms such as BERT, lattice LSTM, and Siamese for tasks such as named entity recognition, intent recognition, entity similarity calculation, and entity linking, to develop a TCM-QA.

[RA-L21] Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM

Python NLP chatbot for train ticket booking and journey planning, featuring intent recognition, dialogue management, and evaluation.

Fully Local AI Assistant

A powerfull NLP-Based application that analyzes email content and generates optimized subject lines with tone(like an overview)

ChatAssist Pro is an advanced AI-powered chatbot designed to streamline customer support interactions.

Practical from my Social Signal Processing class

A serverless, event-driven chatbot architecture using Amazon Lex, AWS Lambda, and DynamoDB for scalable intent recognition and dynamic user interaction.

Research on the Construction Method of Intelligent Services Based on Prior Knowledge

Python library to extract intention and structured information from sentences written in natural language

Bachelor thesis regarding in-domain intent recognition and out-of-domain detection.

Successfully developed a Multi-Source Knowledge Intelligence Agent - an advanced agentic AI application that integrates multi-format document and web data processing with LLM-powered analytics and conversational intelligence. It analyzes multi-source data (URL/files) with AI-driven insights, sentiment analysis, knowledge graphs, and chat interface.

Simple voice assistant made for use in Russian

Interactive NLP-based AI system designed to manage cinema bookings and provide a seamless user experience.