Noortje Venhuizen

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What would be a good method to provide a large collection of semantically annotated texts with formal, deep semantics rather than shallow? We argue that a bootstrapping approach comprising state-of-the-art NLP tools for parsing and semantic interpretation, in combination with a wiki-like interface for collaborative annotation of experts, and a game with a(More)
We use the NLP toolchain that is used to construct the Groningen Meaning Bank to address the task of detecting negation cue and scope, as defined in the shared task “Resolving the Scope and Focus of Negation”. This toolchain applies the C&C tools for parsing, using the formalism of Combinatory Categorial Grammar, and applies Boxer to produce semantic(More)
Data-driven approaches in computational semantics are not common because there are only few semantically annotated resources available. We are building a large corpus of public-domain English texts and annotate them semi-automatically with syntactic structures (derivations in Combinatory Categorial Grammar) and semantic representations (Discourse(More)
In conversations about narratives, we often make judgments about whether two stories are the same. Judgments of this type range from overgeneralizations (“All Bollywood movies have the same story”) via popular attempts to classify stories in various finite lists (e.g., Polti’s famous 36 dramatic situations [21]) to detailed discussions of whether the story(More)
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