3 citations · 4 across the 3 of their papers we have counts for
7 papers
An empirical evaluation of the usefulness of Tree Kernels for Commit-time Defect Detection in large software systems
Hareem Sahar, Yuxin Liu, Abram Hindle +1
Defect detection at commit check-in time prevents the introduction of defects into software systems. Current defect detection approaches rely on metric-based models which are not v…
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
Peiran Yao, Denilson Barbosa
Factual knowledge graphs (KGs) such as DBpedia and Wikidata have served as part of various downstream tasks and are also widely adopted by artificial intelligence research communit…
An Annotated Corpus of Webtables for Information Extraction Tasks
Erin Macdonald, Denilson Barbosa
Information Extraction is a well-researched area of Natural Language Processing with applications in web search and question answering concerned with identifying entities and relat…
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Andrea Rossi, Donatella Firmani, Antonio Matinata +2
Knowledge Graphs (KGs) have found many applications in industry and academic settings, which in turn, have motivated considerable research efforts towards large-scale information e…
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction
Peng Xu, Denilson Barbosa
Knowledge Bases (KBs) require constant up-dating to reflect changes to the world they represent. For general purpose KBs, this is often done through Relation Extraction (RE), the t…
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
Peng Xu, Denilson Barbosa
The task of Fine-grained Entity Type Classification (FETC) consists of assigning types from a hierarchy to entity mentions in text. Existing methods rely on distant supervision and…