Daniel Anechitei


2014

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How Could Veins Speed Up The Process Of Discourse Parsing
Elena Mitocariu | Daniel Anechitei | Dan Cristea
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In this paper we propose a method of reducing the search space of a discourse parsing process, while keeping unaffected its capacity to generate cohesive and coherent tree structures. The parsing method uses Veins Theory (VT), by developing incrementally a forest of parallel discourse trees, evaluating them on cohesion and coherence criteria and keeping only the most promising structures to go on with at each step. The incremental development is constrained by two general principles, well known in discourse parsing: sequentiality of the terminal nodes and attachment restricted to the right frontier. A set of formulas rooted on VT helps to guess the most promising nodes of the right frontier where an attachment can be made, thus avoiding an exhaustive generation of the whole search space and in the same time maximizing the coherence of the discourse structures. We report good results of applying this approach, representing a significant improvement in discourse parsing process.

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MultiDPS – A multilingual Discourse Processing System
Daniel Anechitei
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations

2013

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Multilingual summarization system based on analyzing the discourse structure at MultiLing 2013
Daniel Anechitei | Eugen Ignat
Proceedings of the MultiLing 2013 Workshop on Multilingual Multi-document Summarization