Abstract Open Information Extraction (IE) is the task of extracting assertions from massive
corpora without requiring a pre-specified vocabulary. This paper shows that the output of …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

The concept of collocations is certainly one of the most controversial notions in linguis-3 tics,
even though it is based on a compelling, widely-shared intuition that certain words 4 have a …

How do we scale information extraction to the massive size and unprecedented
heterogeneity of the Web corpus? Beginning in 2003, our KnowItAll project has sought to …

Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word
boundaries that are both idiosyncratic and pervasive across different languages. The …

• San Francisco, ad hoc, by and large, Where Eagles Dare, kick the bucket, part of speech, in
step, the Oakland Raiders, trip the light fantastic, telephone box, call (someone) up, take a …

Identifying relevant analogies from biology is a significant challenge for both designers who
are interested in applying biological analogies for design and researchers who are …

Open information extraction (Open IE) systems aim to obtain relation tuples with highly
scalable extraction in portable across domain by identifying a variety of relation phrases and …

This research focuses on expanding PropBank, a corpus annotated with predicate argument
structures, with new predicate types; namely, noun, adjective and complex predicates, such …

In this paper, we investigate a supervised machine learning framework for automatically
learning of English Light Verb Constructions (LVCs). Our system achieves an 86.3 …