Paper: Exploiting CCG Structures with Tree Kernels for Speculation Detection

ACL ID W10-3018
Title Exploiting CCG Structures with Tree Kernels for Speculation Detection
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2010
Authors

Our CoNLL-2010 speculative sentence detector disambiguates putative keywords based on the following considerations: a speculative keyword may be composed of one or more word tokens; a speculative sentence may have one or more specula- tive keywords; and if a sentence contains at least one real speculative keyword, it is deemed speculative. A tree kernel classi- fier is used to assess whether a potential speculative keyword conveys speculation. We exploit information implicit in tree structures. For prediction efficiency, only a segment of the whole tree around a spec- ulation keyword is considered, along with morphological features inside the segment and information about the containing doc- ument. A maximum entropy classifier is used for sentences not covered by the tree kernel classifier...