Marius Pasca

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Publications by Marius Pasca (bibliography)

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» 2009 «

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Reisinger, Joseph and Pasca, Marius (2009): Bootstrapped extraction of class attributes. In: Proceedings of the 2009 International Conference on the World Wide Web 2009. pp. 1235-1236. Available online

As an alternative to previous studies on extracting class attributes from unstructured text, which consider either Web documents or query logs as the source of textual data, A bootstrapped method extracts class attributes simultaneously from both sources, using a small set of seed attributes. The method improves extraction precision and also improves attribute relevance across 40 test classes.

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» 2008 «

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Ravi, Sujith and Pasca, Marius (2008): Using structured text for large-scale attribute extraction. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun and Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 1183-1192. Available online

» 2007 «

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Pasca, Marius (2007): Organizing and searching the world wide web of facts -- step two: harnessing the wisdom of the crowds. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 101-110. Available online

As part of a large effort to acquire large repositories of facts from unstructured text on the Web, a seed-based framework for textual information extraction allows for weakly supervised extraction of class attributes (e.g., side effects and generic equivalent for drugs) from anonymized query logs. The extraction is guided by a small set of seed attributes, without any need for handcrafted extraction patterns or further domain-specific knowledge. The attributes of classes pertaining to various domains of interest to Web search users have accuracy levels significantly exceeding current state of the art. Inherently noisy search queries are shown to be a highly valuable, albeit unexplored, resource for Web-based information extraction, in particular for the task of class attribute extraction.

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Pasca, Marius (2007): A no-frills architecture for lightweight answer retrieval. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 1289-1290. Available online

In a new model for answer retrieval, document collections are distilled offline into large repositories of facts. Each fact constitutes a potential direct answer to questions seeking a particular kind of entity or relation, such as questions asking about the date of particular events. Question answering becomes equivalent to online fact retrieval, which greatly simplifies the de-facto system architecture.

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Pasca, Marius (2007): Lightweight web-based fact repositories for textual question answering. In: Silva, Mario J., Laender, Alberto H. F., Baeza-Yates, Ricardo A., McGuinness, Deborah L., Olstad, Bjørn, Olsen, Øystein Haug and Falcão, André O. (eds.) Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management - CIKM 2007 November 6-10, 2007, Lisbon, Portugal. pp. 87-96. Available online

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Pasca, Marius (2007): Weakly-supervised discovery of named entities using web search queries. In: Silva, Mario J., Laender, Alberto H. F., Baeza-Yates, Ricardo A., McGuinness, Deborah L., Olstad, Bjørn, Olsen, Øystein Haug and Falcão, André O. (eds.) Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management - CIKM 2007 November 6-10, 2007, Lisbon, Portugal. pp. 683-690. Available online

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Pasca, Marius, Durme, Benjamin Van and Garera, Nikesh (2007): The role of documents vs. queries in extracting class attributes from text. In: Silva, Mario J., Laender, Alberto H. F., Baeza-Yates, Ricardo A., McGuinness, Deborah L., Olstad, Bjørn, Olsen, Øystein Haug and Falcão, André O. (eds.) Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management - CIKM 2007 November 6-10, 2007, Lisbon, Portugal. pp. 485-494. Available online

» 2004 «

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Pasca, Marius (2004): Acquisition of categorized named entities for web search. In: Grossman, David A., Gravano, Luis, Zhai, Chengxiang, Herzog, Otthein and Evans, David A. (eds.) Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management November 8-13, 2004, Washington, DC, USA. pp. 137-145. Available online

» 2003 «

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Moldovan, Dan, Pasca, Marius, Harabagiu, Sanda and Surdeanu, Mihai (2003): Performance issues and error analysis in an open-domain question answering system. In ACM Transactions on Information Systems, 21 (2) pp. 133-154

This paper presents an in-depth analysis of a state-of-the-art Question Answering system. Several scenarios are examined: (1) the performance of each module in a serial baseline system, (2) the impact of feedbacks and the insertion of a logic prover, and (3) the impact of various retrieval strategies and lexical resources. The main conclusion is that the overall performance depends on the depth of natural language processing resources and the tools used for answer finding.

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» 1998 «

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Ounis, Iadh and Pasca, Marius (1998): RELIEF: Combining Expressiveness and Rapidity into a Single System. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1998. pp. 266-274. Available online

This paper constitutes a proposal for an efficient and effective logical information retrieval system. Following a relational indexing approach, which is in our opinion a necessity to cope with the emerging applications such as those based on multimedia, we use the conceptual graphs formalism as our indexing language. This choice allows for relational indexing support and captures all the useful properties of the logical information retrieval model, in a workable system. First order logic and standard in formation retrieval techniques are combined together, to the same effect: obtaining an expressive system, able to accurately handle complex documents, improve retrieval effectiveness, and achieve good time performance. Experimentations on an image test collection, within a system available on the Web, provide an illustration of the role that logic may have in the future development of information retrieval systems.

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Chiaramella, Yves, Mulhem, Philippe, Mourad, Mechkour, Ounis, Iadh and Pasca, Marius (1998): Towards a Fast Precision-Oriented Image Retrieval System. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1998. p. 383. Available online

The RELIEF image retrieval system is proposed as an integration of object-oriented modeling and Web technology, in an implementation of the logical information retrieval model on the O2 database management system. Following a relational indexing approach, it uses the conceptual graph formalism as the indexing language, and logic and standard information retrieval techniques to speed-up the retrieval process. The latter is performed by a polynomial matching function. Moreover, it includes relation-based inference which refines and extends the original matching function used in conceptual graphs, and improves the system performance in terms of recall/precision. Therefore, RELIEF is a first answer to the challenge of using expressive relational formalisms for accurate indexing in a precision-oriented system, while limiting retrieval time within reasonable values.

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Changes to this page (author)

25 Feb 2010: Enabled abstracts to be shown on Marius Pasca's author page.
21 Sep 2009: Added a picture of Marius Pasca
09 Jul 2009: Author was edited
29 May 2009: Author was edited
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25 Jun 2007: Author was edited
28 Apr 2003: Added the author to the bibliography

Publication statistics

Publication period:1998-2009
Publication count:11
Number of co-authors:11



Productive colleagues

Marius Pasca's 3 most productive colleagues in number of publications:

Iadh Ounis:20
Philippe Mulhem:7
Yves Chiaramella:5


Collaboration count

Number of publications with 3 favourite co-authors:

Iadh Ounis:2
Nikesh Garera:1
Benjamin Van Durme:1

 

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