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Filters: Author is Hinrich Schütze [Clear All Filters]
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Transactions of the Association for Computational Linguistics.. 2016.
Corpus-level Fine-grained Entity Typing Using Contextual Information. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. :715–725.. 2015.
Multichannel Variable-Size Convolution for Sentence Classification. Proceedings of the Nineteenth Conference on Computational Natural Language Learning. :204–214.. 2015.
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). :63–73.. 2015.
Towards content-oriented patent document processing: Intelligent patent analysis and summarization. World Patent Information.. 2014.
Unsupervised Training Set Generation for Automatic Acquisition of Technical Terminology in Patents. Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. :290–300.. 2014.