Experiments on Neural Language Embeddings

Container-first, JSON-configurable, NLP REST service based on Flair

An open-source framework to create and test document embeddings using topic models.

Improving document embedding with weighted average of word embedding through topic modeling

Applying NLP to understand people's sentiment about Covid-19 and Government actions in Italy, conditional on their political affiliation.

Telegram Data Clustering Contest (Bossy Gnu's submission )

Word embedding in Java

LD Connect: A Linked Data Portal for IOS Press Scientometrics

Expose a Top2Vec model with a REST API.

Content-based book recommendation system

Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

Dive into the world of Word2Vec and Doc2Vec models to uncover insights and applications.

🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

This Streamlit application demonstrates the integration of ChatGroq (Llama3 model), OpenAIEmbeddings, and FAISS for document embedding and retrieval.

Medical Retrieval-Augmented Generation (RAG) Knowledge Base - A Next.js and LangChain-powered app that processes and stores medical documents as vector embeddings in Pinecone for efficient similarity search.

Top2Vec learns jointly embedded topic, document and word vectors.

A Chrome extension to provide semantic search over your browsing history.

Multi-view citation prediction using SPECTER embeddings, chunked similarity, and metadata

A Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024)