Scrape online for Sanskrit Corpus
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Updated
Mar 9, 2017 - Python
Scrape online for Sanskrit Corpus
Assignments and final project of NLP course at La Sapienza
Jointly Learning knowledge graph Embedding, Fine Grain Entity Types and Language Modeling.
Designed a mini-search engine using English language Wikipedia corpus of size 80 GB by creating inverted indices. It gives you top search result related to given query words.
Disaster information extraction using named entity recognition, we have incorporated a machine learning model which predicts entites in a given iput.
A Python wrapper for the Grobid scholarly information extraction library
Contains code to build an inverted index, and a search engine on top of it
Identify PICO elements and formulate Medical Evidence Propositions from clinical trial abstracts
A command line information extraction tool which works with Swedish text and performs various natural language processing tasks, such as parsing, named entity recognition and information extraction.
This tool is designed to perform simple information extraction from pdf/images based on provided keywords.
All python scripts and helper files that I wrote while doing research with Dr. Yufei Huang's Lab at UPMC Hillman Cancer Center
Tool for Information extraction from Russian texts
Implementation of NAACL 2024 main conference paper: Named Entity Recognition Under Domain Shift via Metric Learning for Life Science
Linked Data Knowledge Base Population (KBP) framework built on top of Snorkel. The default configuration uses Wikipedia as text corpus and DBpedia as target.
Applying BERT and LSTM on TACRED dataset for relation extraction task.
A Streamlit app to perform relation extraction using OpenIE.
Reproducing baseline model from ACL-2022 paper X-GEAR for Zero-shot Cross-Lingual EAE
Attention-based approach to NIL Entity Linking
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