Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus

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Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies (2016, positive): “Our work suggests an alternative strategy—evaluation on naturally occurring sentences that are sampled based on their grammatical complexity—which can provide more nuanced tests of language models (Rimell et al., 2009; Bender et al., 2011).”
Targeted Syntactic Evaluation of Language Models (2018, background): “…BeckyMarvin/LM_syneval. lenging syntactic constructions have been constructed for parser evaluation (Rimell et al., 2009; Nivre et al., 2010; Bender et al., 2011), and minimal pair approaches have been proposed for evaluating image captioning (Shekhar et al., 2017) and machine translation…”
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task (2017, background): “…datasets that exhibit and are annotated for particular linguistic phenomena, in order to facilitate ﬁne-grained analysis of the linguistic capacities of systems for tasks such as parsing, entailment, and semantic relatedness (Rimell et al., 2009; Bender et al., 2011; Marelli et al., 2014).”
Assessing Composition in Sentence Vector Representations (2018, background): “Our focus on assessing linguistically-motivated information relates to work on evaluations that aim for fine-grained analysis of systems’ linguistic capacities (Rimell et al., 2009; Bender et al., 2011; Marelli et al., 2014).”