Access to a large amount of knowledge is critical for success at answering open-domain
questions for DeepQA systems such as IBM Watson™. Formal representation of knowledge …

Open ontology learning is the process of extracting a domain ontology from a knowledge
source in an unsupervised way. Due to its unsupervised nature, it requires filtering …

One of the main bottlenecks in natural language processing is the lack of a comprehensive
lexicalized relation resource that contains fine grained knowledge on predicates. In this …

Abstract Machine reading is a long-standing goal of AI and NLP. In recent years,
tremendous progress has been made in develo** machine learning approaches for many …

Twitter has evolved into a significant communication nexus, coupling personal and highly
contextual utterances with local news, memes, celebrity gossip, headlines, and other …