NLmaps: A Natural Language Interface to Query OpenStreetMap

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Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback (2018, methodology): “. length 10.88 7.06 distinct tags 477 6,582 Table 2: Corpus statistics of the questionanswering corpora NLMAPS and our extension NLMAPS V2 which additionally contains the search engine style queries (Lawrence and Riezler, 2016) and the automatic extensions of the most common OSM tags. several placeh”
FLIN: A Flexible Natural Language Interface for Web Navigation (2020, unknown): “analysis (Setlur et al., 2016; Utama et al., 2018; Lawrence and Riezler, 2016; Gao et al., 2015), robot navigation (Artzi and Zettlemoyer, 2013; Tellex et al.”
Practical Semantic Parsing for Spoken Language Understanding (2019, methodology): “We note that the performance of this model on NLmaps falls behind the state of the art (Duong et al., 2017).”
An Application-Independent Approach to Building Task-Oriented Chatbots with Interactive Continual Learning (2020, methodology): “Besides, [32, 41, 17, 14] built NLIs for visual data analysis.”