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

Improving Knowledge Base Construction from Robust Infobox Extraction

A capable, automatic Question Answering (QA) system can provide more complete and accurate answers using a comprehensive knowledge base (KB). One important approach to constructing a comprehensive knowledge base is to ex…

Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge

Building knowledge bases (KB) automatically from text corpora is crucial for many applications such as question answering and web search. The problem is very challenging and has been divided into sub-problems such as men…

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX)

Using Noisy Extractions to Discover Causal Knowledge

Knowledge bases (KB) constructed through information extraction from text play an important role in query answering and reasoning. In this work, we study a particular reasoning task, the problem of discovering causal rel…

Automatic Knowledge Graph Construction for Judicial Cases

In this paper, we explore the application of cognitive intelligence in legal knowledge, focusing on the development of judicial artificial intelligence. Utilizing natural language processing (NLP) as the core technology,…