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context2vec: Learning Generic Context Embedding with Bidirectional LSTM

2016-08-01 · CONLL 2016 8 · Oren Melamud, Jacob Goldberger, Ido Dagan
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Tasks

ChunkingCoreference ResolutionNamed Entity Recognition (NER)Semantic Role LabelingWord EmbeddingsWord Sense DisambiguationWord Sense Induction

Methods 이 논문이 사용한 방법론

Sigmoid Activation 설명 없음
Tanh Activation 설명 없음
LSTM An LSTM is a type of recurrent neural network that addresses the vanishing gradient problem in vanilla…
BiLSTM A Bidirectional LSTM, or biLSTM, is a sequence processing model that consists of two LSTMs: one taking the input in a forward direction, and the other in a backwards…
context2vec context2vec is an unsupervised model for learning generic context embedding of wide sentential contexts, using a bidirectional LSTM.…

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