Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction

@inproceedings{Kambhatla2004CombiningLS,
  title={Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction},
  author={Nanda Kambhatla},
  booktitle={ACL},
  year={2004}
}
Extracting semantic relationships between entities is challenging because of a paucity of annotated data and the errors induced by entity detection modules. We employ Maximum Entropy models to combine diverse lexical, syntactic and semantic features derived from the text. Our system obtained competitive results in the Automatic Content Extraction (ACE… CONTINUE READING

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