Marc Poch


2014

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Ranking Job Offers for Candidates: learning hidden knowledge from Big Data
Marc Poch | Núria Bel | Sergio Espeja | Felipe Navío
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

This paper presents a system for suggesting a ranked list of appropriate vacancy descriptions to job seekers in a job board web site. In particular our work has explored the use of supervised classifiers with the objective of learning implicit relations which cannot be found with similarity or pattern based search methods that rely only on explicit information. Skills, names of professions and degrees, among other examples, are expressed in different languages, showing high variation and the use of ad-hoc resources to trace the relations is very costly. This implicit information is unveiled when a candidate applies for a job and therefore it is information that can be used for learning a model to predict new cases. The results of our experiments, which combine different clustering, classification and ranking methods, show the validity of the approach.

2013

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MosesCore: Moses Open Source Evaluation and Support Co-ordination for OutReach and Exploitation PANACEA: Platform for Automatic, Normalised Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies
Nuria Bel | Marc Poch | Antonio Toral
Proceedings of Machine Translation Summit XIV: European projects

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PANACEA: Platform for Automatic, Normalised Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies
Nuria Bel | Marc Poch | Antonio Toral
Proceedings of Machine Translation Summit XIV: European projects

2012

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Towards a User-Friendly Platform for Building Language Resources based on Web Services
Marc Poch | Antonio Toral | Olivier Hamon | Valeria Quochi | Núria Bel
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper presents the platform developed in the PANACEA project, a distributed factory that automates the stages involved in the acquisition, production, updating and maintenance of Language Resources required by Machine Translation and other Language Technologies. We adopt a set of tools that have been successfully used in the Bioinformatics field, they are adapted to the needs of our field and used to deploy web services, which can be combined to build more complex processing chains (workflows). This paper describes the platform and its different components (web services, registry, workflows, social network and interoperability). We demonstrate the scalability of the platform by carrying out a set of massive data experiments. Finally, a validation of the platform across a set of required criteria proves its usability for different types of users (non-technical users and providers).

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Efficiency-based evaluation of aligners for industrial applications
Antonio. Toral | Marc Poch | Pavel Pecina | Gregor Thurmair
Proceedings of the 16th Annual conference of the European Association for Machine Translation

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Language Resources Factory: case study on the acquisition of Translation Memories
Marc Poch | Antonio Toral | Núria Bel
Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics

2011

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Interoperability and Technology for a Language Resources Factory
Marc Poch | Núria Bel
Proceedings of the Workshop on Language Resources, Technology and Services in the Sharing Paradigm

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Towards a User-Friendly Webservice Architecture for Statistical Machine Translation in the PANACEA project
Antonio Toral | Pavel Pecina | Marc Poch | Andy Way
Proceedings of the 15th Annual conference of the European Association for Machine Translation

2009

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Improving a Catalan-Spanish Statistical Translation System using Morphosyntactic Knowledge
Mireia Farrús | Marta R. Costa-jussà | Marc Poch | Adolfo Hernández | José B. Mariño
Proceedings of the 13th Annual conference of the European Association for Machine Translation