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 …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

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

Most successful information extraction systems operate with access to a large collection of
documents. In this work, we explore the task of acquiring and incorporating external …

Automatic metadata generation provides scalability and usability for digital libraries and their
collections. Machine learning methods offer robust and adaptable automatic metadata …

A large and growing number of web pages display contextual advertising based on
keywords automatically extracted from the text of the page, and this is a substantial source of …

The named entity recognition (NER) task involves identifying noun phrases that are names,
and assigning a class to each name. This task has its origin from the Message …

Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …

事件抽取是信息抽取领域一个重要的研究方向, 本文对事件抽取的两项关键技术———
事件类别识别以及事件元素识别进行了深入研究. 在事件类别识别阶段, 本文采用了一种基于 …

The proliferation of Internet has not only generated huge volumes of unstructured
information in the form of web documents, but a large amount of text is also generated in the …