Hilke Reckman

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Mining data from online games provides a potential alternative to programming behavior and dialogue for characters in interactive narratives by hand. Human annotation of course-grained tasks can provide explanations that make the data more useful to an AI system, however human labor is expensive. We describe a semi-automatic methodology for recognizing(More)
  • Soroush Vosoughi, Allen Gorin, Brandon Roy, Jeff Orkin, Philip Decamp, Karina Lundahl +37 others
  • 2015
The spread of malicious or accidental misinformation in social media, especially in time-sensitive situations such as real-world emergencies can have harmful effects on individuals and society. This thesis develops models for automated detection and verification of rumors (unverified information) that propagate through Twitter. Detection of rumors about an(More)
We discuss the use of data from a virtual world game for automated learning of words and grammatical constructions and their meanings. The language data is an integral part of the social interaction in the game and consists of chat dialogue, which is only constrained by the cultural context, as set by the nature of the provided virtual environment. This(More)
For SemEval-2013 Task 2, A and B (Sentiment Analysis in Twitter), we use a rule-based pattern matching system that is based on an existing 'Domain Independent' sentiment taxonomy for English, essentially a highly phrasal sentiment lexicon. We have made some modifications to our set of rules, based on what we found in the annotated training data that was(More)
We use data from a virtual world game for automated learning of words and grammatical constructions and their meanings. The language data are an integral part of the social interaction in the game and consist of chat dialogue, which is only constrained by the cultural context, as set by the nature of the provided virtual environment. Building on previous(More)
In this paper we describe the relatively comprehensive implementation of nominalizations in our semantic CCG parser/generator for Dutch. The implementation covers the various ways in which semantic arguments can be expressed, including a treatment of support verbs. A novel feature of this implementation is the use of the general pronoun binding algorithm to(More)
Verbs or adjectives and their nominalizations and certain adverb adjective pairs can be argued to introduce the same concept. This can be shown through inference patterns, which can be explained if we assume Davidsonian eventualities underlying all predicates. We make a contribution to the underlying state discussion by investigating the advantages and(More)
  • Citation Reckman, Jeff Hilke, Deb Roy Orkin, Hilke Reckman, Jeff Orkin, Deb Roy
  • 2010
Extracting aspects of determiner meaning from oy.dialogue in a virtual world environment. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract We use data from a virtual world game for automated learning of words and grammatical constructions and their meanings. The language data are(More)
The Delilah parser and generator for Dutch delivers three related levels of logical form: Stored Logical Form, Normal Logical Form and Flat Logical Form. SLF is produced by graph unification of attribute-value matrices as the value of a semantic feature. It is an underspecified level of semantic representation, as it does not spell out the exact scope of(More)