Name: Tarcísio Souza Costa
Type: User
Company: L3S Research Center - Leibniz Universität Hannover
Bio: PhD Candidate at Forschungszentrum L3S, working mainly with Question Answering and Natural Language Processing.
Location: Hannover
Blog: https://www.l3s.de/user/172
Tarcísio Souza Costa's Projects
Extracting Event-Centric Document Collections from Large Scale Web Archives
cdx-warc-parser
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
ElasticSearch Java API tutorial using test cases.
Event-QA is a Dataset for answering complex Event-Centric questions over Knowledge Graphs (KGs). We target EventKG, a recently proposed Event-Centric KG. Event-QA benchmark contains 1000 semantic queries and the corresponding verbalisations. The queries are generated by random-walk sub-graph traversal. Here you find the code and technical specifications to generate the Dataset
The EventKG is a novel multilingual resource incorporating event-centric information extracted from several large-scale knowledge graphs such as Wikidata, DBpedia and YAGO, as well as less structured sources such as the Wikipedia Current Events Portal and Wikipedia event lists in five languages. The EventKG is an extensible event-centric resource modeled in RDF. It relies on Open Data and best practices to make event data spread across different sources available through a common representation and reusable for a variety of novel algorithms and real-world applications.
Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
A data set of natural language queries with corresponding SPARQL queries
NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
A demo project of streaming data from Kafka using Spark
Author support service for IOS Press journals. For more information please visit https://vtex-soft.github.io/texsupport.iospress-sw/