502 citations · 533 across the 12 of their papers we have counts for
12 papers
Relational Extraction on Wikipedia Tables using Convolutional and Memory Networks
Arif Shahriar, Rohan Saha, Denilson Barbosa
Relation extraction (RE) is the task of extracting relations between entities in text. Most RE methods extract relations from free-form running text and leave out other rich data s…
NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools
Peiran Yao, Matej Kosmajac, Abeer Waheed +3
NLP Workbench is a web-based platform for text mining that allows non-expert users to obtain semantic understanding of large-scale corpora using state-of-the-art text mining models…
IRJIT: A Simple, Online, Information Retrieval Approach for Just-In-Time Software Defect Prediction
Hareem Sahar, Abdul Ali Bangash, Abram Hindle +1
Just-in-Time software defect prediction (JIT-SDP) prevents the introduction of defects into the software by identifying them at commit check-in time. Current software defect predic…
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…
Investigations on Knowledge Base Embedding for Relation Prediction and Extraction
Peng Xu, Denilson Barbosa
We report an evaluation of the effectiveness of the existing knowledge base embedding models for relation prediction and for relation extraction on a wide range of benchmarks. We a…
Extracting Family Relationship Networks from Novels
Aibek Makazhanov, Denilson Barbosa, Grzegorz Kondrak
We present an approach to the extraction of family relations from literary narrative, which incorporates a technique for utterance attribution proposed recently by Elson and McKeow…
Optimizing XML Compression
Gregory Leighton, Denilson Barbosa
The eXtensible Markup Language (XML) provides a powerful and flexible means of encoding and exchanging data. As it turns out, its main advantage as an encoding format (namely, its…