Andrea Gesmundo


2014

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Undirected Machine Translation with Discriminative Reinforcement Learning
Andrea Gesmundo | James Henderson
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

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Projecting the Knowledge Graph to Syntactic Parsing
Andrea Gesmundo | Keith Hall
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers

2012

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Heuristic Cube Pruning in Linear Time
Andrea Gesmundo | Giorgio Satta | James Henderson
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Lemmatisation as a Tagging Task
Andrea Gesmundo | Tanja Samardžić
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Lemmatising Serbian as Category Tagging with Bidirectional Sequence Classification
Andrea Gesmundo | Tanja Samardžić
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

We present a novel tool for morphological analysis of Serbian, which is a low-resource language with rich morphology. Our tool produces lemmatisation and morphological analysis reaching accuracy that is considerably higher compared to the existing alternative tools: 83.6% relative error reduction on lemmatisation and 8.1% relative error reduction on morphological analysis. The system is trained on a small manually annotated corpus with an approach based on Bidirectional Sequence Classification and Guided Learning techniques, which have recently been adapted with success to a broad set of NLP tagging tasks. In the system presented in this paper, this general approach to tagging is applied to the lemmatisation task for the first time thanks to our novel formulation of lemmatisation as a category tagging task. We show that learning lemmatisation rules from annotated corpus and integrating the context information in the process of morphological analysis provides a state-of-the-art performance despite the lack of resources. The proposed system can be used via a web GUI that deploys its best scoring configuration

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HadoopPerceptron: a Toolkit for Distributed Perceptron Training and Prediction with MapReduce
Andrea Gesmundo | Nadi Tomeh
Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics

2011

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Heuristic Search for Non-Bottom-Up Tree Structure Prediction
Andrea Gesmundo | James Henderson
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

2009

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A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages
Andrea Gesmundo | James Henderson | Paola Merlo | Ivan Titov
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task