Screen LibraryMulti-source, multilingual information extraction and summarization /
Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society...
Saved in:
| Corporate Authors: | |
|---|---|
| Group Author: | |
| Published: |
Springer,
|
| Publisher Address: | Berlin ; New York : |
| Publication Dates: | 2013. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Theory and applications of natural language processing,
|
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-642-28569-1 |
| Summary: |
Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams--in general, in multiple languages--containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought--names vs. events,-- and the nature of the sources--news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field. |
| Item Description: | Includes index. |
| Carrier Form: | 1 online resource. |
| ISBN: |
9783642285691 (electronic bk.) 3642285694 (electronic bk.) |
| Index Number: | QA76 |
| CLC: | TP391 |
| Contents: |
Background and Fundamentals -- Automatic Text Summarization: Past, Present and Future / Information Extraction: Past, Present and Future / Named Entity in a Multilingual Context -- Learning to Match Names Across Languages / Computational Methods for Name Normalization Using Hypocoristic Personal Name Variants / Entity Linking: Finding Extracted Entities in a Knowledge Base / A Study of the Effect of Document Representations in Clustering-Based Cross-Document Coreference Resolution / Information Extraction -- Interactive Topic Graph Extraction and Exploration of Web Content / Predicting Relevance of Event Extraction for the End User / Open-Domain Multi-Document Summarization via Information Extraction: Challenges and Prospects / Multi-document Summarization -- Generating Update Summaries: Using an Unsupervized Clustering Algorithm to Cluster Sentences / Multilingual Statistical News Summarization / A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization / Improving Speech-to-Text Summarization by Using Additional Information Sources / Multi-Document Summarization Techniques for Generating Image Descriptions: A Comparative Analysis / |