| 1. |
- Argaw, A. A., et al.
(författare)
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Dictionary based Amharic - English information retrieval
- 2004
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Ingår i: CEUR Workshop Proceedings. - : CEUR-WS.
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Konferensbidrag (refereegranskat)abstract
- We present two approaches to the Amharic - English bilingual track in CLEF 2004. Both experiments use a dictionary based approach to translate the Amharic queries into English Bags-of-words, but while one approach removes non-content bearing words from the Amharic queries based on their IDF value, the other uses a list of English stop words to perform the same task. The resulting translated (English) terms are then submitted to a retrieval engine that supports the Boolean and vector-space models. In our experiments, the second approach (based on a list of English stop words) performs slightly better than the one based on IDF values for the Amharic terms.
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| 2. |
- Cöster, Rickard, et al.
(författare)
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Selective compound splitting of Swedish queries for boolean combination of truncated terms
- 2003. - 1
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Konferensbidrag (refereegranskat)abstract
- In compounding languages such as Swedish, it is often neccessary to split compound words when indexing documents or queries. One of the problems is that it is difficult to find constituents that express a concept similar to that expressed by the compound. The approach taken here is to expand a query with the leading constituents of the compound words. Every query term is truncated so as to increase recall by hopefully finding other compounds with the leading constituent as prefix. This approach increase recall in a rather uncontrolled way, so we use a Boolean quorum-level type of search to rank documents both according to a tf-idf factor but also to the number of matching Boolean combinations. The Boolean combinations performed relatively well, taken into consideration that the queries were very short (maximum five search terms). Also included in this paper are the results of two other methods we are currently working on in our lab; one for re-ranking search results on the basis of stylistic analysis of documents, and one for dimensionality reduction using Random Indexing.
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| 3. |
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| 4. |
- Franzén, Kristofer, et al.
(författare)
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Verbosity and Interface Design
- 2000. - 1
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Users pose very short queries to information retrieval systems. This study shows that the apparent length of the query field has an effect on the length of the query users enter.
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| 5. |
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| 6. |
- Hansen, Preben, et al.
(författare)
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Cooperation, bookmarking, and thesaurus in interactive bilingual question answering
- 2004. - 1
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Ingår i: Multilingual Information Access for Text, Speech and Images (5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004, Bath, UK, September 15-17, 2004, Revised Selected Papers). - Berlin, Heidelberg : Springer. - 9783540274209 ; , s. 343-347
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Bokkapitel (refereegranskat)abstract
- The study presented involves several different contextual aspects and is the latest in a continuing series of exploratory experiments on information access behaviour in a multi-lingual context [1, 2]. This year’s interactive cross-lingual information access experiment was designed to measure three parameters we expected would affect the performance of users in cross-lingual tasks in languages in which the users are less than fluent. Firstly, introducing new technology, we measure the effect of topic-tailored term expansion on query formulation. Secondly, introducing a new component in the interactive interface, we investigate - without measuring by using a control group - the effect of a bookmark panel on user confidence in the reported result. Thirdly, we ran subjects pair-wise and allowed them to communicate verbally, to investigate how people may cooperate and collaborate with a partner during a search session performing a similar but non-identical search task.
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| 7. |
- Hansen, Preben, et al.
(författare)
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User-Centered Interface Design for Cross-Language Information Retrieval
- 2002. - 1
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Ingår i: Proceedings of the Twenty-fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.
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Konferensbidrag (refereegranskat)abstract
- This paper reports on the user-centered design methodology and techniques used for the elicitation of user requirements and how these requirements informed the first phase of the user interface design for a Cross-Language Information Retrieval System. We describe a set of factors involved in analysis of the data collected and, finally discuss the implications for user interface design based on the findings.
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| 8. |
- Kanerva, Pentti, et al.
(författare)
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Computing with large random patterns
- 2001. - 1
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Ingår i: Foundations of Real-World Intelligence. - Stanford, California : CSLI Publications. ; , s. 251-311
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Bokkapitel (refereegranskat)abstract
- We describe a style of computing that differs from traditional numeric and symbolic computing and is suited for modeling neural networks. We focus on one aspect of ``neurocomputing,'' namely, computing with large random patterns, or high-dimensional random vectors, and ask what kind of computing they perform and whether they can help us understand how the brain processes information and how the mind works. Rapidly developing hardware technology will soon be able to produce the massive circuits that this style of computing requires. This chapter develops a theory on which the computing could be based.
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| 9. |
- Karlgren, Jussi, et al.
(författare)
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Acquiring (and Using) Linguistic (and World) Knowledge for Information Access
- 2002. - 1
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Bok (refereegranskat)abstract
- Information access tasks need flexible text understanding. While full text understanding remains a distant and possibly unattainable goal, to deliver better information access performance we must advance content analysis beyond the simple algorithms used today--and the dynamic nature of both information needs and information sources will make a flexible model or set of models a necessity. Models must either be adaptive or easily adapted by some form of low-cost intervention; and they must support incremental knowledge build-up. The first requirement involves acquisition of information from unstructured data; the second involves defining an inspectable and transparent model and developing an understanding of knowledge-intensive interaction. Text understanding needs a theory. Knowledge modeling, semantics, or ontology construction are areas marked by the absence of significant consensus either in points of theory or scope of application. Even the terminology and success criteria of the somewhat overlapping fields are fragmented. Some approaches to content modeling lay claim to psychological realism, others to inspectability; some are portable, others transparent; some are robust, others logically sound; some efficient, others scalable. Information access tasks give focus to modeling. It is too much to hope for a set of standards to emerge from the intellectually fairly volatile and fragmented area of semantics or cognitive modeling. But in our application areas -- namely, those in the general field of information access - external success criteria are better established. Compromise from theoretical underpinnings in the name of performance. Information access tasks need flexible text understanding. While full text understanding remains a distant and possibly unattainable goal, to deliver better information access performance we must advance content analysis beyond the simple algorithms used today--and the dynamic nature of both information needs and information sources will make a flexible model or set of models a necessity.
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| 10. |
- Karlgren, Jussi, et al.
(författare)
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Continued experiments on cross-language relevance assessment
- 2003. - 1
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Ingår i: Comparative Evaluation of Multilingual Information Access Systems: 4th CLEF workshop: Revised Selected Papers. - Berlin, Heidelberg : Springer Berlin Heidelberg.
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Konferensbidrag (refereegranskat)abstract
- An experiment on how users assess document usefulness for an information access task in their native language (Swedish) versus a language they have near-native competence in (English). Results show that relevance assessment in a foreign language takes more time and is prone to errors compared to assessment in the reader’s first language.
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