Query expansion has received extensive attention in information retrieval community. Although semantic based query expansion appears to be promising in improving retrieval performance, previous research has shown that it cannot consistently improve retrieval performance. It is a tricky problem to automatically determine whether to do query expansion for a given query. In this paper, we introduc...

In this paper, we present a new concept called time-sensitive query. A query is time-sensitive if the set of relevant pages changes when the query is expanded with different temporal terms. Knowing which queries are time-sensitive and what sensitivities they have can be very useful in automatic query expansion for improving search effectiveness and user experience. Existing methods related to t...

We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to bridge the lexical gap between questions and answers. SMT-based query expansion is done by i) using a full-sentence paraphraser to introduce synonyms in context of the entire query, and ii) by translating query terms into answer terms using a full-sentence SMT model traine...

It is difficult for users to formulate appropriate queries for search. In this paper, we propose an approach to query term selection by measuring the effectiveness of a query term in IR systems based on its linguistic and statistical properties in document collections. Two query formulation algorithms are presented for improving IR performance. Experiments on NTCIR-4 and NTCIR-5 ad-hoc IR tasks...

In this paper, we propose a method for multi-term query expansions based on WordNet. In our approach, Hypernym/Hyponymy and Synonym relations in WordNet is used as the basic expansion rules. Then we use WordNet Lexical Chains and WordNet semantic similarity to assign terms in the same query into different groups with respect to their semantic similarities. For each group, we expand the highest ...

This is a report on our evaluations of using some language resources for the Indonesian-English bilingual task of the 2007 Cross-Language Evaluation Forum (CLEF). We chose to translate an Indonesian query set into English using machine translation technique, transitive translation technique, and parallel corpus technique. We also made an attempt to improve the retrieval effectiveness using a qu...

Experiments performed on small collections suggest that expanding query vectors with words that are lexically related to the original query words can improve retrieval eeectiveness. Prior experiments using WordNet to automatically expand vectors in the large TREC-1 collection were inconclusive regarding eeec-tiveness gains from lexically related words since any such eeects were dominated by the...

Choosing the right terms to describe an information need is becoming more difficult as the amount of available information increases. SearchTerm-Recommendation (STR) systems can help to overcome these problems. This paper evaluates the benefits that may be gained from the use of STRs in Query Expansion (QE). We create 17 STRs, 16 based on specific disciplines and one giving general recommendati...

The conditions for N = 1 supersymmetry in type II supergravity have been previously reformulated in terms of generalized complex geometry. We improve that reformulation so as to completely eliminate the remaining explicit dependence on the metric. Doing so involves a natural generalization of the Dolbeault operator. As an application, we present some general arguments about supersymmetric modul...

In this paper we present our entry to the WMT’13 shared task: Quality Estimation (QE) for machine translation (MT). We participated in the 1.1, 1.2 and 1.3 sub-tasks with our QE system trained on features from diverse information sources like MT decoder features, n-best lists, monoand bi-lingual corpora and giza training models. Our system shows competitive results in the workshop shared task.