A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Parsimonious language models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Who said what to whom?: capturing the structure of debates
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
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We demonstrate a web information system created for the European elections in June 2009. Based on their speeches in the EU parliament and their written questions, we created language models for each of the 736 members of the EU parliament. These language models were used to search for politicians responsible for a given topic, similar to expert search applications. Users prefer to see some kind of evidence for returning a hit after a search. We created a profile of each EU parlementarian by comparing her personal language model to the language model created from all EU parlementarians. The top 50 words best separating the individual from the avarage were shown as a wordcloud. These top 50 words and their scores were derived from a parsimonious language model.