{"paper":{"title":"DyNet: The Dynamic Neural Network Toolkit","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.MS"],"primary_cat":"stat.ML","authors_text":"Adhiguna Kuncoro, Antonios Anastasopoulos, Austin Matthews, Chaitanya Malaviya, Chris Dyer, Cynthia Gan, Dan Garrette, Daniel Clothiaux, David Chiang, Gaurav Kumar, Graham Neubig, Kevin Duh, Lingpeng Kong, Manaal Faruqui, Matthew Richardson, Miguel Ballesteros, Naomi Saphra, Paul Michel, Pengcheng Yin, Swabha Swayamdipta, Trevor Cohn, Waleed Ammar, Yangfeng Ji, Yoav Goldberg, Yusuke Oda","submitted_at":"2017-01-15T01:53:23Z","abstract_excerpt":"We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits like Theano, CNTK, and TensorFlow, the user first defines a computation graph (a symbolic representation of the computation), and then examples are fed into an engine that executes this computation and computes its derivatives. In DyNet's dynamic declaration strategy, computation graph construction is mostly transparent, being implicitly constructed by executing procedural code that computes the network outputs, and t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.03980","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}