PaLM: A Hybrid Parser and Language Model

EMNLP/IJCNLP (1), pp. 3642-3649, 2019.

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Abstract:

We present PaLM, a hybrid parser and neural language model. Building on an RNN language model, PaLM adds an attention layer over text spans in the left context. An unsupervised constituency parser can be derived from its attention weights, using a greedy decoding algorithm. We evaluate PaLM on language modeling, and empirically show tha...More

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