MIRACLE Experiments in QA@CLEF 2006 in Spanish: Main Task, Real-Time QA and Exploratory QA Using Wikipedia (WiQA)

Pablo-Sánchez, César de; González-Ledesma, Ana; Sandoval, Antonio Moreno; Vicente-Díez, María Teresa

doi:10.1007/978-3-540-74999-8_55

Cited by 3 publications

(3 citation statements)

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“…Despite the inclusion of new sources of information like Wikipedia and the improvements carried in all preexisting modules, results obtained are lower than previous years [3]. However, this has been a general trend for all participants [4] due to the increasing difficulty of the task.…”

Section: Results and Error Analysismentioning

confidence: 62%

“…Question Analysis includes a new shared module for managing topic identification, context and anaphora resolution in topic-related question series. The basic system has been described in earlier participations [3] and it performs two kinds of operations; offline operations like indexing and document analysis and online operations like question analysis, sentence retrieval and answer selection.…”

Section: System Overviewmentioning

confidence: 99%

“…Our basic QA system uses a pipeline architecture [3] and is based on Information Extraction. Most successful systems for Spanish have opted either for a similar strategy like Priberam [1] or textmining like INAOE [5].…”

Section: Introductionmentioning

confidence: 99%

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Combining Wikipedia and Newswire Texts for Question Answering in Spanish

Pablo-Sánchez

Martínez-Fernández

González-Ledesma

et al. 2008

Lecture Notes in Computer Science

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Abstract. This paper describes the adaptations of the MIRACLE group QA system in order to participate in the Spanish monolingual question answering task at QA@CLEF 2007. A system, initially developed for the EFE collection, was reused for Wikipedia. Answers from both collections were combined using temporal information extracted from questions and collections. Reusing the EFE subsystem has proven not feasible, and questions with answers only in Wikipedia have obtained low accuracy. Besides, a co-reference module based on heuristics was introduced for processing topic-related questions. This module achieves good coverage in different situations but it is hindered by the moderate accuracy of the base system and the chaining of incorrect answers.

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Section: Results and Error Analysismentioning

confidence: 62%

Section: System Overviewmentioning

confidence: 99%

See 1 more Smart Citation

Combining Wikipedia and Newswire Texts for Question Answering in Spanish

Pablo-Sánchez

Martínez-Fernández

González-Ledesma

et al. 2008

Lecture Notes in Computer Science

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The MIRACLE Team at the CLEF 2008 Multilingual Question Answering Track

Martínez-González

Pablo-Sánchez

Polo-Bayo

et al. 2009

Lecture Notes in Computer Science

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The MIRACLE team is a consortium formed by three universities from Madrid, (Universidad Politécnica de Madrid, Universidad Autónoma de Madrid and Universidad Carlos III de Madrid) and DAEADALUS, a small and medium size enterprise (SME). The MIRACLE team participated in the monolingual Spanish and crosslanguage French to Spanish subtasks at QA@CLEF 2008. For the Spanish subtask, we used an almost completely rebuilt version of our system, designed with the aim of flexibly combining information sources and linguistic annotators for different languages. To allow easy development for new languages, most of the modules don't make any language dependent assumptions. This language dependent knowledge is encapsulated in a rule language developed within the MIRACLE team. By the time of submitting the runs, work on the new version was still ongoing, so we consider the results as a partial test of the possibilities of the new architecture. Subsystems for other languages were not yet available, so we tried a very simple approach for the French to Spanish subtask: questions were translated to Spanish with Babylon, and the output of this translation was fed into our system. The results were an accuracy of 16% for the monolingual Spanish task and 5% for the crosslanguage task.

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