We present a report on our participation in the English-Indonesian image adhoc task of the 2005 Cross-Language Evaluation Forum (CLEF). We chose to translate the Indonesian query set into English using a commercial machine translation tool called Transtool. We show that some improvement in retrieval effectiveness can be obtained using a query expansion technique. We used an approach that combin...

In this paper, we report on a series of experiments involving feedback and query expansion. We conclude that query expansion using manually assigned keywords has no advantage over expansion using terms from the text of the document.

In this paper we describe our efforts for TREC 2013 Web track. We focus on evaluating the effectiveness of axiomatic retrieval model on large data collection. Axiomatic approach basically searches for the retrieval functions that satisfy some reasonable retrieval constraints. We also evaluate the semantic term matching method which does the query expansion by choosing the semantically related t...

s prominently include information that is relevant to the population group of interest, and intervention, comparison and disease of interest. The vector space model further measures the similarity between the query and citation based on concepts (as opposed to just terms or words themselves).

While term expansion techniques are well investigated for many domains, semantic enrichment of keyword queries for the retrieval of scientific datasets is still paid little attention to. In particular, a systematic analysis of which kind of semantically related concepts lead to the most relevant results is missing. Based on query expansion techniques, we semantically enriched search queries pro...

Manifold ranking has been successfully applied in query-oriented multi-document summarization. It not only makes use of the relationships among sentences, but also between given query and sentences. However, information original is often insufficient. So we present a expansion method, which combined manifold to resolve this problem. Our method utilizes term itself knowledge base WordNet expand ...

In this paper, we aim to improve query expansion for ad-hoc retrieval, by proposing a more fine-grained term reweighting process. This fine-grained process uses statistics from the representation of documents in various fields, such as their titles, the anchor text of their incoming links, and their body content. The contribution of this paper is twofold: First, we propose a novel query expansi...

Personalized Query Expansion, the task of expanding queries with additional terms extracted from user-related vocabulary, is a well-known solution to improve retrieval performance system w.r.t. short queries. Recent approaches rely on word embeddings select expansion texts. Although delivering promising results former embedding techniques, we argue that these methods are not suited for contextu...