CLEF
2009
Springer
13 years 9 months ago
2009
Springer
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the GikiCLEF task of the QA track. Because the task was intended to model some aspec...
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
This paper describes the baselines proposed for the ResPubliQA 2009 task. These baselines are purely based on information retrieval techniques. The selection of an adequate retrie...
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
This paper describes the participation of the Technical University of Catalonia in the CLEF 2009 Question Answering on Speech Transcripts track. We have participated in the Englis...
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. In this paper, we present an unsupervised algorithm for morpheme discovery called UNGRADE (UNsupervised GRAph DEcomposition). UNGRADE works in three steps and can be appl...
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
We present Promodes, an algorithm for unsupervised word decomposition, which is based on a probabilistic generative model. The model considers segment boundaries as hidden variable...
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
In this paper we will briefly describe the approaches taken by the Cheshire (Berkeley) Group for the CLEF Adhoc-TEL 2009 tasks (Mono and Bilingual retrieval). Recognizing that man...
CLEF
2009
Springer
13 years 9 months ago
2009
Springer
