Development and research of Topic Detection and Tracking

@article{Chen2016DevelopmentAR,
  title={Development and research of Topic Detection and Tracking},
  author={Yuning Chen and Lianzhong Liu},
  journal={2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)},
  year={2016},
  pages={170-173}
}
Topic Detection and Tracking (TDT) is one of the issue in the field of Natural Language Processing (NLP) from the beginning. It becomes a hot spot and many classic models and methods have been made currently, as it faces the information retrieval and extraction detecting on unknown topics and track exist ones. The paper reviews the development status of TDT research. The definitions of Topic, Story, Event and Activity are stated. TDT corpus and primary tasks in current research are introduced… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 22 references

A new event detection model based on term reweighting

Zhang Kuo, U Juanzi, WU Gang
Journal of Software, • 2008

Applying CUR Techniques to Event Tracking [A

M Nianli, Y Yiming, R. Monica
AIRS 2004[C]. Berlin Heidelberg: Springer-Verlag, • 2005

Extractingand using relationships found in text for topic tracking , CIIR Technical Report lR - 209 [ R ]

D Eichmann, P Ogilvie
Undergraduate Honors Thesis • 2004

Language-specific model in multilingual topic tracking [C] II SIGIR

L S.Larkey
2004

Link detection [EB/OL

D. Eichmann
http://www.nist.gov/speech/tests/tdtl • 2004

Mining frequent patterns in data streams at multiple time granularities [M] II Next Generation Data Mining, AAAIIMlT,2004

C Giannella, J Han, J Pei
2004

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