In this paper, we discuss dependencies between rhetorical discourse structure and relevance implicatures. We follow [3] and infer relevance implicatures from the assumption that an answer provides optimal information for solving an explicitly or implicitly given decision problem of the inquirer. Such a decision problem can be identified with a question raised in the conversation. Background que...

The vocabulary of the TREC Legal OCR collection is noisy and huge. Standard techniques for improving retrieval performance such as content-based query expansion are ineffective for such document collection. In our work, we focused on exploiting metadata using blind relevance feedback, iterative improvement from the reference Boolean run, and the effects of using terms from different topic field...

We describe the participation of the University of Amsterdam’s ILPS group in the relevance feedback track at TREC 2008. We introduce a new model which incorporates information from relevant and non-relevant documents to improve the estimation of query models. Our main findings are twofold: (i) in terms of statMAP, a larger number of judged non-relevant documents improves retrieval effectiveness...

For our participation in the Batch Task of the TREC 2009 Legal Track, we produced several retrieval sets to compare experimental Boolean, vector, fusion and relevance feedback techniques for e-Discovery requests. In this paper, we have reported not just the mean scores of the experimental approaches but also the largest per-topic impacts of the techniques for several measures. The experimental ...

TREC 2008 was the third year of the Legal Track, which focuses on evaluation of search technology for discovery of electronically stored information in litigation and regulatory settings. The track included three tasks: Ad Hoc (i.e., single-pass automatic search), Relevance Feedback (two-pass search in a controlled setting with some relevant and nonrelevant documents manually marked after the f...

TREC 2007 was the second year of the Legal Track, which focuses on evaluation of search technology for discovery of electronically stored information in litigation and regulatory settings. The track included three tasks: Ad Hoc (i.e., single-pass automatic) search, Relevance Feedback (two-pass search in a controlled setting with some relevant and nonrelevant documents manually marked after the ...

Many different communities have conducted research on the efficacy of relevance feedback in multimedia information systems. Unlike text IR, performance evaluation of multimedia IR systems tends to conform to the accepted standards of the community within which the work is conducted. This leads to idiosyncratic performance evaluations and hampers the ability to compare different techniques fairl...

This paper details our experiments carried out at TREC 2008 Relevance Feedback Track. We focused on the analysis of feedback documents, both relevant and non-relevant, to explore more useful information to improve retrieval performance. In our experiments, local co-occurrence model and a Rocchio formula were used to select good expansion terms. Five runs were submitted. These runs used differen...

According to the volatility feedback effect, an unexpected increase in squared volatility leads to an immediate decline in the price–dividend ratio. In this paper, we consider the properties of stock price dynamics and option valuations under the volatility feedback effect bymodeling the joint dynamics of stock price, dividends, and volatility in continuous time. Most importantly, our model pre...

In TREC 2011 Microblog Track, we explore the use of pseudo relevance feedback to expand original query terms in topics. Hyperlink is used to enhance the performance of the retrieval results. And we set a threshold of entropy to filter retrieval results. Microblog is a Realtime Adhoc Task, so we make use of average querytweettime that comes from pseudo relevance feedback to change retrieval scor...