Sep 20, 2019 · Our analysis shows that evaluating with biased parsing algorithms can inflate the apparent structural competence of language models. Subjects: ...
Sep 20, 2019 · This work provides a detailed analysis of the parsing algorithm, showing that it is incomplete, and that evaluating with biased parsing ...
Our analysis shows that evaluating with biased parsing algorithms can inflate the apparent structural competence of language models. ResearchGate Logo. Discover ...
We show that the ordered neurons could explicitly integrate the latent tree structure into recurrent models. To this end, we propose a new RNN unit: ON-LSTM, ...
一言でいうと. LSTMに階層情報(構文解析など)を学習させる機構を取り入れた手法は、(近年発表されたOrdered Neurons #1210 を含めて)LSTMと同等ではないかという提議。
In this article, we propose UPOA, an Unsupervised constituent Parsing model that calculates an Out Association score solely based on the self-attention weight ...
Dec 6, 2023 · This paper presents the formalization of tree- shape uncertainty that enables us to analyze the inherent branching bias of unsupervised.
Jan 30, 2020 · This observation provides a hint for what some previous work on unsupervised parsing desired to obtain by introducing the bias to their models.
Unsupervised constituency parsing aims to learn a constituency parser from a training corpus without parse tree annotations. While.
A critical analysis of biased parsers in unsupervised parsing. arXiv:1909.09428. Daniel Gildea and Martha Palmer. 2002. The necessity of parsing for ...