Parsimonious language models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Comparing corpora using frequency profiling
CompareCorpora '00 Proceedings of the Workshop on Comparing Corpora
Digital weight watching: reconstruction of scanned documents
Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
Helping people to choose for whom to vote. a web information system for the 2009 European elections
Proceedings of the 18th ACM conference on Information and knowledge management
Focused retrieval and result aggregation with political data
Information Retrieval
Harmony and dissonance: organizing the people's voices on political controversies
Proceedings of the fifth ACM international conference on Web search and data mining
Opinions network for politically controversial topics
Proceedings of the first edition workshop on Politics, elections and data
PolariCQ: polarity classification of political quotations
Proceedings of the 21st ACM international conference on Information and knowledge management
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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Transcripts of meetings are a document genre characterized by a complex narrative structure. The essence is not only what is said, but also by who and to whom. This paper investigates whether we can use semantic annotations like the speaker in order to capture this debate structure, as well as the related content of the debate. The structure is visualized in a graph, while the content is condensed into word clouds, that are created using a parsimonious language model. Evaluation shows that both tools adequately capture the structure and content of the debate at an aggregated level.