Papers by Murielle Fabre
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal (D19-1)
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| Challenge: | a variable beam size inference method is proposed for generative parsing for RNNG . the proposed method is not sensitive to lexical biases faced by standard beam search . |
| Approach: | They propose a method of variable beam size inference for Recurrent Neural Network Grammar by drawing inspiration from sequential Monte-Carlo methods such as particle filtering. |
| Outcome: | The proposed method is based on a generative parsing framework that can be used to model brain activity during online sentence comprehension. |