Text Summarization

Natural Language

Contents

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General Readings

Publication

NewsFinder: Automating an AI News Service

NewsFinder automates the steps involved in finding, selecting, categorizing, and publishing news stories that meet relevance criteria for the Artificial Intelligence community. The software combines a broad search of online news sources with topic-specific trained models and heuristics. Since August 2010, the program has been used to operate the AI in the News service that is part of the AAAI AITopics website.

Source

By Eckroth, Joshua, Liang Dong, Reid G. Smith, Bruce G. Buchanan , 2012
AITopics, NewsFinder, news, support vector machines

Hardware and Software

Link

ROUGE: A software package for automated evaluation of summaries

ROUGE is a software package for automated evaluation of summaries. It was developed by Chin-Yew Lin while he was at the Information Sciences Institute of University of Southern California (USC/ISI).

Automated text summarization has drawn a lot of interest in the natural language processing and information retrieval communities in the recent years. A series of workshops on automatic text summarization (WAS 2000, 2001, 2002), special topic sessions in ACL, COLING, and SIGIR, and government sponsored evaluation efforts in the United States (DUC 2002) and Japan (Fukusima and Okumura 2001) have advanced the technology and produced a couple of experimental online systems (Radev et al. 2001, McKeown et al. 2002). Despite these efforts, however, there are no common, convenient, and repeatable evaluation methods that can be easily applied to support system development and just-in-time comparison among different summarization methods.

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Journals and Proceedings

Publication

Intelligent Text Summarization: Papers from the 1998 AAAI Spring Symposium

Hovy, Eduard and Dragomir Radev, Cochairs. Intelligent Text Summarization: Papers from the 1998 Spring Symposium. Technical Report SS-98-06. American Association for Artificial Intelligence, Menlo Park, California..

Source

1998

News

AI in the News

Mining the blogosphere: Researchers develop tools that make sense of social media

The system is capable of gauging things like consumer preferences and voter intentions by sorting through websites, examining real-life self-expression and conversation, and producing summaries that focus exclusively on the original question. A summarization tool must address two particular problems, question irrelevance (sentences that are not relevant to the main question), and discourse incoherence, (sentences in which the intent of the writer is unclear). BlogSum used "discourse relations" to crunch the data -- ways of filtering and ordering sentences into coherent summaries. Summaries produced by BlogSum reduced question irrelevance and discourse incoherence, successfully distilling large amounts of text into highly readable summaries.

Source

Sep 6 2012
AI in the News

DARPA grant to support research into auto-translation of Chinese

While emerging technologies such as Google Translate have shown promise, much work must be done to improve the language translation applications that America will need as one of its most important 21st century relationships develops. To move the technology forward, the Defense Advanced Research Projects Agency (DARPA) has awarded a $13.7 million grant, called Linguistic Resources for Multilingual, Genre-Independent Language Technologies via its Broad Operational Language Translation (BOLT) Program to the Linguistic Data Consortium at the University of Pennsylvania to develop linguistic resources. Xue has been involved in this research program for years, beginning with Translingual Information Detection, Extraction and Summarization (TIDES) then Global Autonomous Language Exploitation ( GALE ), a five-year program that he worked on while at the University of Colorado. According to DARPA, BOLT is part of a broader effort to provide language translation in support of defense and national security requirements, ranging from phrase translation to scanning and translation of large data sets......

Source

Apr 5 2012

Classic Articles & Books

Publication

Jack and Janet in Search of a Theory of Knowledge

In order to answer questions about children's  stories one needs a great deal of "common sense" knowledge. A model Is presented which gives a rough organization to this knowledge along with specifications as to how the Information will be accessed.  This rough model Is then used as a basis for tight arguments about narrow Issues (primarily using examples concerning piggy banks.)   The paper Is intended as an illustration of how one might go about constructing a theory of knowledge.

Source

By Charniak, Eugene, 1973
classic
Publication

Automatic paraphrasing in essay format

Source

By Klein, S. , 1965
classic
Publication

Notes on transitivity and theme in English

Source

By Halliday, M. A. K. , 1967
classic

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