Post-processing filter for (Named) Entity Linking
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Updated
Jan 27, 2022 - Python
Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.
Post-processing filter for (Named) Entity Linking
Web interface to manually annotate named entity mentions in newspaper articles with the correct DBpedia link(s), if any. Produces labeled data sets for training and evaluating the DAC Entity Linker.
Entity search engines for Google and Wikidata. Helping to link the two together and provide a way to ground entities
Organization Knowledge Graph Search Engine
Entity linking using the DBpedia tool named Spotlight and how to extract offsets of the entities linked to the knowledge bases (also in case of a long text)
The official repository for the PSYCHIC model
Pytorch implementation of a BiLSTM model for the Wikification project.
Undergraduate Final Project (needs README up to date!!) - Scientific paper soon to be included
Micro project on big data technologies via spark
Tool for Information extraction from Russian texts
Code for the ASONAM2018 paper Acquiring Background Knowledge to Improve Moral Value Prediction
UMLS Medical Entity Linking. Adaptation of MedLinker (ECIR 2020) for the Social Domain.
The repository contains a preliminary analysis of artistic works' connections available in Wikidata, with a focus on italian literature and international audiovisual works.
MIC-CIS entry in PharmaCoNER, Bacteria Biotope (BB 2029) & SeeDev 2019 Shared Tasks in EMNLP '19
The code for paper “Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval” in WSDM2023
[EMNLP'24] This repo is official implementation for the paper "Unsupervised Named Entity Disambiguation for Low Resource Domains"
Seminar work for about Topic Extraction using Knowledge Graphs
A Metric learning-based Method for Biomedical Entity Linking
[EMNLP 2021] MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
Created by Halbert L. Dunn
Released 1946