NAACL - HLT 2012 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web - scale Knowledge Extraction

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, AKBC-WEKEX@NAACL-HLT 2012, Montrèal, Canada, June 7-8, 2012

Automatic Knowledge Base Construction using Probabilistic Extraction, Deductive Reasoning, and Human Feedback

We envision an automatic knowledge base construction system consisting of three interrelated components. MADDEN is a knowledge extraction system applying statistical text analysis methods over database systems (DBMS) and massive parallel processing (MPP) frameworks; PROBKB performs probabilistic reasoning over the extracted knowledge to derive additional facts not existing in the original text ...

Knowledge Extraction and Joint Inference Using Tractable Markov Logic

The development of knowledge base creation systems has mainly focused on information extraction without considering how to effectively reason over their databases of facts. One reason for this is that the inference required to learn a probabilistic knowledge base from text at any realistic scale is intractable. In this paper, we propose formulating the joint problem of fact extraction and proba...

Advances in Automated Knowledge Base Construction

Recent years have seen significant advances on the creation of large-scale knowledge bases (KBs). Extracting knowledge from Web pages, and integrating it into a coherent KB is a task that spans the areas of natural language processing, information extraction, information integration, databases, search and machine learning. Some of the latest developments in the field were presented at the AKBC-...

Entity Linking at Web Scale

This paper investigates entity linking over millions of high-precision extractions from a corpus of 500 million Web documents, toward the goal of creating a useful knowledge base of general facts. This paper is the first to report on entity linking over this many extractions, and describes new opportunities (such as corpus-level features) and challenges we found when entity linking at Web scale...