← Back to papers
2017 SEMEVAL SemEval 2017

Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.

🧭 Keyword Pioneer — graph transformation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Gerasimos Lampouras , Andreas Vlachos

Topics

Natural Language Processing > Understanding > Parsing Natural Language Processing > Understanding > Semantic Analysis Natural Language Processing > Generation > Text Generation

Keywords

semantic parsing dependency parsing abstract meaning representation language generation transition-based parsing graph transformation transition-based generation
Download PDF

Related papers

ULISBOA at SemEval-2017 Task 12: Extraction and classification of temporal expressions and events 2017
LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network 2017
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications 2017
Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator 2017
KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records 2017