Information Technology Reference
In-Depth Information
3.
Mechanism to extract (fragment of) knowledge from text
Sophisticated Eliza outputs informative short conversations, but the content of the
conversation is not consistent as a whole. In this research, we are developing a system
to provide people with some useful knowledge. We have to recognize the useful part of
the knowledge base and to place great importance on the extracted useful part of the
text. We previously reported how to extract an informative set of words using a
measure of inclusive relations (Yamamoto et al., 2005), and will apply a similar method
to this conversation system.
4.
Improvement of conversation script and template considering “fragment of
knowledge”
By considering the useful part of information written in the knowledge base, we modify
the templates to extract conversational text. Contextual information such as ellipsis and
anaphora is also treated in this part. As a first step, we will handle anaphora resolution
in a specific domain, such as cooking, considering factors described at 2). We will use
domain knowledge about cooking such as cookware, cookery and ingredient.
5.
Evaluation
We will conduct tests with participants to evaluate our methodology and verify the
effectiveness of our method for transferring knowledge. So far, we are reported by some
small number of participants that it is rather easy to listen to the voice of the system,
however, objective evaluation is still our future work.
6. Conclusion
We introduced an approach for developing an information-providing system in order to
support knowledge acquisition. The system can transfer knowledge to humans even while
the person is doing something or is not concentrating on listening to the voice. Our
approach does not create a summary of the key points of what is being read out, but focuses
on the knowledge transferring method. Specifically, to provide knowledge efficiently, we
consider what kinds of conversation are naturally retained in the brain, as such
conversations may enable people to obtain knowledge more easily. We aim to construct an
intelligent system which can create such conversations by applying natural language
processing techniques.
7. Acknowledgment
We would like to thank Mr. Satoshi Watanabe of WANT Co. Ltd. for his support on tuning
speech synthesizer to our voice and generate all speech data for our experiments.
8. References
A.L.I.C.E. The Artificial Linguistic Internet Computer Entity, http://alice.pandorabots.com
Artificial non-Intelligence UZURA, http://www.din.or.jp/~ohzaki/uzura.htm
Isahara, H.; Yamamoto, E.; Ikeno, A. & Hamaguchi, Y. (2005). Eliza's daughter.
Annual
Meeting of Association for Natural Language Processing of Japan
, Japan
Kodansha International (1998).
The Kodansha Bilingual Encyclopedia about Japan
(in Japanese
and English), Kodansha International Ltd., ISBN 978-477-0021-30-4, Tokyo, Japan
