This paper proposes a Hidden Markov Model (HMM) and an HMM-based chunk tagger, from
which a named entity (NE) recognition (NER) system is built to recognize and classify …

Data mining is a mature technology. The prediction problem, looking for predictive patterns
in data, has been widely studied. Strong me-ods are available to the practitioner. These …

When I planned this book in 1999, it was intended to be a survey of current work in text
summarization. The survey would discuss various efforts in the context of a framework for …

Previously we authored “Text Mining: Predictive Methods for Analyzing Unstructured
Information.” That book was geared mostly to professional practitioners, but was adaptable …

It is often claimed that Named Entity recognition systems need extensive gazetteers--lists of
names of people, organisations, locations, and other named entities. Indeed, the compilation …

Natural language processing (NLP) is crucial in the current processing of data because it
takes into account many sources, formats, and purposes of data as well as information from …

Jackson, Peter, 1948-Natural language processing for online applications: text retrieval,
extraction and categorization/Peter Jackson and Isabelle Moulinier.--2nd rev. ed. p. cm …

Argumentative Zoning: Information Extraction from Scientific Text Page 1 Argumentative
Zoning: Information Extraction from Scientific Text Simone Teufel T H E U NIVER S I T Y O F …

This paper presents a maximum entropy-based named entity recognizer (NER). It differs
from previous machine learning-based NERs in that it uses information from the whole …

Recognizing and extracting exact name entities, like Persons, Locations and Organizations
are very useful to mining information from text. Learning to extract names in natural …