Title:
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FORGe at SemEval-2017 Task 9: deep sentence generation based on a sequence of graph transducers
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Author:
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Mille, Simon; Carlini, Roberto; Burga Díaz, Alicia; Wanner, Leo
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Abstract:
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Comunicació presentada a: The 11th International Workshop on Semantic Evaluations (SemEval-2017), celebrada del 3 al 4 d'agost de 2017 a Vancouver, Canadà. |
Abstract:
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We present the contribution of Universitat Pompeu Fabra’s NLP group to the Sem-Eval Task 9.2 (AMR-to-English Generation). The proposed generation pipeline comprises: (i) a series of rule-based graphtransducers for the syntacticization of the input graphs and the resolution of morphological agreements, and (ii) an off-theshelf statistical linearization component. |
Abstract:
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The work described in this paper has been partially
funded by the European Commission under the contract numbers FP7-ICT-610411, H2020-
645012-RIA, H2020-700024-RIA, and H2020-DRS-01-2015. |
Subject(s):
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-Language generation -Graph transducers -Deep sentence generation |
Rights:
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© ACL, Creative Commons Attribution 4.0 License
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Document type:
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Conference Object Article - Published version |
Published by:
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ACL (Association for Computational Linguistics)
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