The growing availability of online textual sources and the potential number of applications of
knowledge acquisition from textual data has lead to an increase in Information Extraction …

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

Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …

Standard algorithms for template-based information extraction (IE) require predefined
template schemas, and often labeled data, to learn to extract their slot fillers (eg, an embassy …

Abstract Information extraction (IE) systems are prone to false hits for a variety of reasons
and we observed that many of these false hits occur in sentences that contain subjective …

Event schema induction is the task of learning high-level representations of complex events
(eg, a bombing) and their entity roles (eg, perpetrator and victim) from unlabeled text. Event …

Abstract Information Extraction (IE) systems that extract role fillers for events typically look at
the local context surrounding a phrase when deciding whether to extract it. Often, however …

Extracting information from web documents has become a research area in which new
proposals sprout out year after year. This has motivated several researchers to work on …

Abstract Information Extraction (IE) techniques aim to extract the names of entities and
objects from text and to identify the roles that they play in event descriptions. IE systems …

We present an information extraction system that decouples the tasks of finding relevant
regions of text and applying extraction patterns. We create a self-trained relevant sentence …