Latent Semantic Inference for Agriculture FAQ Retrieval

@inproceedings{Wang2007LatentSI,
  title={Latent Semantic Inference for Agriculture FAQ Retrieval},
  author={Dawei Wang and Rujing Wang and Ying Li and Baozi Wei},
  year={2007}
}
FAQ system can make user find answer to the problem that puzzles them. But now the research on Chinese FAQ system is still on the theoretical stage. This paper presents an approach to semantic inference for FAQ mining. To enhance the efficiency, a small pool of the candidate question-answering pairs retrieved from the system for the follow-up work according to the concept of the agriculture domain extracted from user input .Input queries or questions are converted into four parts, the question… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Semantic segment extraction and matching for Internet FAQ retrieval

  • IEEE Transactions on Knowledge and Data Engineering
  • 2006
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Domain-specific Web search with keyword spices

  • IEEE Transactions on Knowledge and Data Engineering
  • 2004
VIEW 1 EXCERPT

and M

V. Jijkoun, J. Mur
  • de Rijke, Information Extraction for Question Answering: Improving Recall through Syntactic Patterns,Proc. Int’l Conf. Computational Linguistics
  • 2004
VIEW 2 EXCERPTS