We present a nearest-neighbor algorithm for resolving prepositional phrase attachment ambiguities. Its performance is significantly higher than previous corpus-based methods for P...
Walley’s Imprecise Dirichlet Model (IDM) for categorical data overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in prac...
— This paper proposes a new algorithm to identify and compose building blocks based on minimum mutual information criterion. Building blocks are interpreted as common subsequence...
This research aims to create an MECE (Mutually Exclusive, Collectively Exhaustive) categorisation method for typing errors. The research is grounded in theory by gathering typing ...
: Traceability and rationale management are highly important--especially in distributed collaborative software development projects due to a lack of mutual awareness and informal c...
Tobias Hildenbrand, Michael Geisser, Lars Klimpke,...