Der folgende Artikel gibt einen Kurzüberblick über ein Promotionsvorhaben im Bereich der Quantitativen Modellierung. In der Dissertation soll die Modellierungsmethodik FMC-QE (Fundamental Modeling Concepts for Quantitative Evaluation) beschrieben werden. FMC-QE basiert auf der Modellierungssprache FMC sowie den Modellierungsund Berechnungsmethoden der Warteschlangentheorie und der Zeitbehaftete...

The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12. The first method consists of asking the user to select a number of sentences that represent documents. The second method consists of showing to the user a list of noun phrases extracted from the initial document set....

For the update summaries task of the Text Analysis Conference 2008 we have implemented a novel summarization technique based on query expansion with encyclopedic knowledge and activation spreading in a large document graph. We have also experimented with sentence compression for building the summaries. The results are average – ranked 27 out of 58 for responsiveness in manual evaluation – but w...

We describe our participation in both tasks in the 2003 TREC Genomics track. For the primary task we concentrated mainly upon query expansion and species-specific document searching. An analysis of the variance of possible retrieval results suggested that the official TREC-supplied test set is only a crude approximation of the true system performance. The secondary task we treated as an extract...

In this paper, we describe our approach for single language information retrieval (SLIR) on Chinese language of NTCIR4 tasks. Firstly, we automatically extract terms (short-terms and long terms) from document set and use them to build indexes; secondly, for a query, we use short terms in the query and documents to do initial retrieval; thirdly, we build an ontology for the query to do query exp...

This paper details Cengage Leaning’s TREC 2010 Session track submission and our efforts to improve retrieval performance over a user’s session. We use a number of different techniques to achieve this goal including query term weighting, query expansion and re-ranking. In this paper we detail these techniques and the results of our submission. Using our query term weighting technique combined wi...

We report on the participation of the CSIRO team in the TREC 2012 Microblog Track. We participated with four automatic runs for the adhoc search task and four automatic runs for the filtering task. In the adhoc search task, we experiment with different pre-processing and query expansion techniques. Our most important finding is highlighting the value of systematic pre-processing of tweets and i...

In this paper, we present an approach for retrieving relevant articles from the biomedical corpus. Our first run considered four kinds of operators as query expansion. The operators are phrase, mandatory, optional and synonym set. The second run lowered the ranking of documents which contained query terms only in their MeSH fields. The results of the official runs and further experiments were l...

We describe the submissions of the University of Sheffield (USFD) for the phraselevel Quality Estimation (QE) shared task of WMT16. We test two different approaches for phrase-level QE: (i) we enrich the provided set of baseline features with information about the context of the phrases, and (ii) we exploit predictions at other granularity levels (word and sentence). These approaches perform cl...

In this paper, we present a novel query expansion approach based on splitting the user query into a set of N-grams, and expanding them separately utilizing a set of research articles. Our approach is based on retrieving a set of relevant research articles, process their abstracts to expand the query/searched term or phrase. We aim to expand terms that a regular relevance feedback might ignore. ...