Linguistic Pattern Recognition Task

A Linguistic Pattern Recognition Task is a Pattern Recognition Task that can find linguistic patterns.

• AKA: Linguistic Pattern Mining Task, Linguistic Pattern Learning Task.
• Context:
  • Input: a Text Dataset.
  • output: a Linguistic Pattern.
  • Task Requirements:
    • a Language Model,
    • a Machine Learning Model.
• Context:
  • It can be solved by a Linguistic Pattern Recognition System by implementing Linguistic Pattern Recognition Algorithms.
  • It ranges from being a Supervised Linguistic Pattern Recognition Task to being an Unsupervised Linguistic Recognition Task.
  • It ranges from being a Relational Pattern Recognition Task, to being a Sequential Pattern Recognition Task‎, to being a Syntactic Pattern Recognition Task.
• Example(s):
  • an Entity Mention Discovery Task,
  • a Named Entity Recognition Task,
  • a Speech Recognition Task.
  • …
• Counter-Example(s):
  • an Emerging Pattern Recognition Task,
  • a Frequent Pattern Recognition Task,
  • a Constraint-Based Pattern Recognition Task.
• See: Pattern Recognition System, Knowledge Discovery, Correlation, Exploratory Data Analysis, Graph Pattern Mining Task, Structured Pattern Mining Task.

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References

2009

• (Ding et al., 2009) ⇒ Xiaowen Ding, Bing Liu, and Lei Zhang. (2009). "Entity Discovery and Assignment for Opinion Mining Applications". In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557141
  • QUOTE: Entity discovery is based on pattern discovery and entity assignment is based on mining of comparative sentences. Experimental results using a large number of forum posts demonstrate the effectiveness of the technique. Our system has also been successfully tested in a commercial setting.

2006

• (Bishop, 2006) ⇒ Christopher M. Bishop. (2006). "Pattern Recognition and Machine Learning". New York, NY : Springer, 2006. DOI:10.1117/1.2819119 ISBN:0-387-31073-8, 1-493-93843-6, 978-0387-31073-2, 978-1493-93843-8.

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