Markable
A Markable is a Coreferent Entity Mention that can be determined by a Coreference Resolution Task.
- Context:
- It was first introduced in Soon et al. (2001).
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- Example(s):
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- Counter-Example(s):
- See: Coreference Relation, Definite Noun Phrase, Proper Name, Appositive, Tokenization, Sentence Segmentation, Part-Of-Speech Tagging, Named Entity Recognition.
References
2001
- (Soon et al., 2001) ⇒ Wee Meng Soon, Hwee Tou Ng, and Daniel Chung Yong Lim. (2001). “A Machine Learning Approach to Coreference Resolution of Noun Phrases.” In: Computational Linguistics, Vol. 27, No. 4.
- QUOTE: Specifically, a coreference relation denotes an identity of reference and holds between two textual elements known as markables, which can be definite noun phrases, demonstrative noun phrases, proper names, appositives, sub–noun phrases that act as modifiers, pronouns, and so on." Thus, our coreference task resolves general noun phrases and is not restricted to a certain type of noun phrase such as pronouns. Also, we do not place any restriction on the possible candidate markables; that is, all markables, whether they are "organization", "person," or other entity types, are considered. The ability to link coreferring noun phrases both within and across sentences is critical to discourse analysis and language understanding in general. (...)
A prerequisite for coreference resolution is to obtain most, if not all, of the possible markables in a raw input text. To determine the markables, a pipeline of natural language processing (NLP) modules is used, as shown in Figure 1. They consist of tokenization, sentence segmentation, morphological processing, part-of-speech tagging, noun phrase identification, named entity recognition, nested noun phrase extraction, and semantic class determination. As far as coreference resolution is concerned, the goal of these NLP modules is to determine the boundary of the markables, and to provide the necessary information about each markable for subsequent generation of features in the training examples.
Figure 1 System architecture of natural language processing pipeline.
- QUOTE: Specifically, a coreference relation denotes an identity of reference and holds between two textual elements known as markables, which can be definite noun phrases, demonstrative noun phrases, proper names, appositives, sub–noun phrases that act as modifiers, pronouns, and so on." Thus, our coreference task resolves general noun phrases and is not restricted to a certain type of noun phrase such as pronouns. Also, we do not place any restriction on the possible candidate markables; that is, all markables, whether they are "organization", "person," or other entity types, are considered. The ability to link coreferring noun phrases both within and across sentences is critical to discourse analysis and language understanding in general. (...)
