Complex Relation Mention Recognition Task
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A Complex Relation Mention Recognition Task is a Relation Mention Recognition Task where the Relation Mentions include Complex Relation Mentions.
- AKA: Complex Semantic Relation Mention Recognition Task.
- Context:
- It can be solved by a Complex Relation Mention Recognition Algorithm.
- See: Simple Relation Mention Recognition Task.
References
2008
- (Sarawagi, 2008) ⇒ Sunita Sarawagi. (2008). “Information Extraction.” In: Foundations and Trends in Databases, 1(3).
- In this section, we concentrated on the extraction of binary relationship. A natural extension is to the extraction of records involving multi-way relationships. Record extraction is significantly more complicated since binary relations are assumed to be at sentence level, whereas multiway relationships span sentences. On natural language text this makes it necessary to perform cross sentence analysis involving co-reference resolution and discourse analysis. We refer the reader to [148, 218] for existing work on this topic.
2006
- (Wick et al., 2006) ⇒ Michael Wick, Aron Culotta, and Andrew McCallum. (2006). “Learning Field Compatibilities to Extract Database Records from Unstructured Text.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2006).
2005
- (McDonald et al., 2005) ⇒ Ryan McDonald, Koby Crammer, and Fernando Pereira. (2005). “Flexible Text Segmentation with Structured Multilabel Classification.” In: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT/EMNLP, 2005).