Here's another one:
Joho, H. & Sanderson, M. (2000) Retrieving Descriptive Phrases from
Large Amounts of Free Text, in proceedings of the 9th ACM Conference
on Information and Knowledge Management, Pages 180-186
You can download it from here
http://dis.shef.ac.uk/mark/cv/publications/papers/my_papers/CIKM00.pdf
At 14:28 02/09/2005, Yannick Versley wrote:
> > I wonder if anybody could provide me with some advice related to tools
> > or references related to the:
> >
> > 1) automatic construction of dictionary-like definitions of terms
> > extracted automatically from free text articles, or alternatively
> > 2) the retrieval of sentences which are likely to describe definitions
> > of terms within documents would also be appreciated.
>I think this has much in common with the problem of answering definition
>questions in question answering. I would think that
>Hildebrandt/Katz/Lin (2003): Answering Definition Questions
> Using Multiple Knowledge Sources
>(http://acl.ldc.upenn.edu/hlt-naacl2004/main/pdf/137_Paper.pdf)
>could be a good starting point.
>
>If you want to get something as in your example:
> > [HpaB] : HpaB is a protein which promotes the secretion of a large set
> > of effector proteins and prevents the delivery of non-effectors into the
> > plant cell.
>a good start could be to use a list of upper-level terms like "protein",
>"amino acid" etc. as well as action verbs and then scan the text for patterns
>like
>HpaB, [NP], [NP] and other [Hypernym-NP]s
>as well as
>HpaB [VP [action verb] ...]
>For reference, see e.g.
>Hearst, M.(1992): Automatic Acquisition of Hyponyms from Large Text Corpora
>(see http://www.sims.berkeley.edu/~hearst/publications.html)
>or
>R. Girju, A. Badulescu, and D. Moldovan (2000):
>Learning Semantic Constraints for the Automatic Discovery of Part-Whole
>Relations
>R. Girju(2003):
>Automatic Detection of Causal Relations for Question Answering
>(see Automatic Detection of Causal Relations for Question Answering)
>
>Kind regards,
>Yannick Versley
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