Anderson Morillo
AI Engineer and NLP Researcher based in Cartagena, Colombia. I build NLP and AI systems end to end — from RAG-based chatbots and fine-tuned transformers to real-time data platforms — with Docker, FastAPI, and cloud deployment.
Affiliation: Universidad Tecnológica de Bolívar · COTECMAR
VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations
Authors: Anderson Morillo, Edwin Puertas, Juan Carlos Martinez Santos Venue: Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), Vienna, Austria. Association for Computational Linguistics. Pages 1534–1541.
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🚦 Quick Guide: How Model Context Protocol (MCP) Works
What is the Model Context Protocol (MCP)? The Model Context Protocol (MCP) is an open specification for secure, streamable communication and tooling integration between Language Model clients and servers. It enables language models and their helper agents to share context and resources efficiently—across different platforms, tools, and workflows.
Read More📊 Build your own unigram frequency corpus with Google data
Interested in linguistic corpora and natural language processing? This post describes how to build your own English word-frequency (unigram) corpus using the Create_google_unigram_frecuency_corpus project.
Read More🔍 Extracting Important Words Using Weirdness
Learn how to identify and extract rare or meaningful words from a corpus by leveraging the concept of “weirdness.” This approach enriches language processing applications, enabling you to highlight unique vocabulary and gain new linguistic insights.
Read MorePubMed API and LLM-Driven Hybrid Retrieval System for Biomedical Question Answering
Authors: Anderson Morillo, Carlos Agamez, Edwin Puertas, Juan Carlos Martinez-Santos, Jairo Serrano
Read MoreVerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship Detection
Authors: Anderson Morillo, Daniel Peña, Juan Carlos Martinez Santos, Edwin Puertas
Read MoreUTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online News
Authors: Juan Cuadrado, Elizabeth Martinez, Anderson Morillo, Daniel Peña, Kevin Sossa, Juan Martinez-Santos, Edwin Puertas
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