Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Indexing and retrieval of broadcast news
Speech Communication - Special issue on accessing information in spoken audio
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Topic-based document segmentation with probabilistic latent semantic analysis
Proceedings of the eleventh international conference on Information and knowledge management
Domain-Specific Keyphrase Extraction
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Data & Knowledge Engineering - NLDB2002
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
KIM – a semantic platform for information extraction and retrieval
Natural Language Engineering
A new probabilistic model for title generation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Coherent keyphrase extraction via web mining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
Text segmentation by product partition models and dynamic programming
Mathematical and Computer Modelling: An International Journal
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Detecting privacy leaks using corpus-based association rules
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting reviewer bias through web-based association mining
Proceedings of the 2nd ACM workshop on Information credibility on the web
Crossing textual and visual content in different application scenarios
Multimedia Tools and Applications
Faceted search and retrieval based on semantically annotated product family ontology
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
Semantic ambient media--an introduction
Multimedia Tools and Applications
Named Entity Recognition Experiments on Turkish Texts
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Semantic annotation for knowledge management: Requirements and a survey of the state of the art
Web Semantics: Science, Services and Agents on the World Wide Web
Using automatic metadata extraction to build a structured syllabus repository
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Information Processing and Management: an International Journal
A case for query by image and text content: searching computer help using screenshots and keywords
Proceedings of the 20th international conference on World wide web
A hybrid named entity recognizer for Turkish
Expert Systems with Applications: An International Journal
Web-based semantic analysis of chinese news video
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Automated semantic tagging of speech audio
Proceedings of the 21st international conference companion on World Wide Web
A platform for collaborative semantic annotation
EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
An information theoretic framework for web inference detection
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Expert Systems with Applications: An International Journal
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The Rich News system, that can automatically annotate radio and television news with the aid of resources retrieved from the World Wide Web, is described. Automatic speech recognition gives a temporally precise but conceptually inaccurate annotation model. Information extraction from related web news sites gives the opposite: conceptual accuracy but no temporal data. Our approach combines the two for temporally accurate conceptual semantic annotation of broadcast news. First low quality transcripts of the broadcasts are produced using speech recognition, and these are then automatically divided into sections corresponding to individual news stories. A key phrases extraction component finds key phrases for each story and uses these to search for web pages reporting the same event. The text and meta-data of the web pages is then used to create index documents for the stories in the original broadcasts, which are semantically annotated using the KIM knowledge management platform. A web interface then allows conceptual search and browsing of news stories, and playing of the parts of the media files corresponding to each news story. The use of material from the World Wide Web allows much higher quality textual descriptions and semantic annotations to be produced than would have been possible using the ASR transcript directly. The semantic annotations can form a part of the Semantic Web, and an evaluation shows that the system operates with high precision, and with a moderate level of recall.