• Publications
  • Influence
Wide-Coverage Semantic Analysis with Boxer
  • Johan Bos
  • Computer Science
  • STEP
  • 22 September 2008
TLDR
Boxer is an open-domain software component for semantic analysis of text, based on Combinatory Categorial Grammar (CCG) and Discourse Representation Theory. Expand
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Predicate logic unplugged
TLDR
Die vorliegende Arbeit wurde im Rahmen des Verbundvorhabens Verbmobil vom Bundes-ministerium f ur Bildung, Wissenschaft, Forschung und Technologie (BMBF) unter dem FF orderkennzeichen 01 IV 101 R geff ordert. Expand
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Predicting the 2011 Dutch Senate Election Results with Twitter
To what extend can one use Twitter in opinion polls for political elections? Merely counting Twitter messages mentioning political party names is no guarantee for obtaining good election predictions.Expand
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Linguistically Motivated Large-Scale NLP with C&C and Boxer
TLDR
This paper describes an NLP system which is based on syntactic and semantic formalisms from theoretical linguistics, and which we have used to analyse the entire Gigaword corpus (1 billion words) in less than 5 days using only 18 processors. Expand
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Wide-Coverage Semantic Representations from a CCG Parser
TLDR
This paper shows how to construct semantic representations from the derivations produced by a wide-coverage CCG parser, with a coverage of over 97% on unseen WSJ text. Expand
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Developing a large semantically annotated corpus
TLDR
We introduce human-aided machine annotation, a method for developing a large semantically annotated corpus with formal, deep semantics, as applied in the Groningen Meaning Bank. Expand
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Recognising Textual Entailment with Logical Inference
We use logical inference techniques for recognising textual entailment. As the performance of theorem proving turns out to be highly dependent on not readily available background knowledge, weExpand
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DIPPER: Description and Formalisation of an Information-State Update Dialogue System Architecture
TLDR
The DIPPER architecture is a collection of software agents for prototyping spoken dialogue systems. Expand
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The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity
TLDR
Shared Task 1 of SemEval-2014 comprised two subtasks on the same dataset of sentence pairs: recognizing textual entailment and determining textual similarity. Expand
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  • 11
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The Groningen Meaning Bank
TLDR
The goal of the Groningen Meaning Bank (GMB) is to obtain a large corpus of English texts annotated with formal meaning representations that can be translated to first-order logic. Expand
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