In this paper, we presented a learning approach to coreference resolution of noun phrases in unrestricted text. The approach learns from a small, annotated ...
Dec 1, 2001 · In this paper, we present a learning approach to coreference resolution of noun phrases in unrestricted text. The approach learns from a ...
A Machine Learning Approach to Coreference Resolution of Noun ...
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In this paper, we presented a learning approach to coreference resolution of noun phrases in unrestricted text. The approach learns from a small, annotated ...
12 suggested features for markables pairs. ▫ Distance (How far the two markables are). ▫ i/j is a Pronoun (he, him, himself, his…).
The learning approach to coreference resolution of noun phrases in unrestricted text is presented, indicating that on the general noun phrase coreference ...
In this paper, we present a learning approach to coreference resolution of noun phrases in unrestricted text. The approach learns from a small, ...
The task of noun phrase coreference resolution is to determine which noun phrases in a text or dialogue refer to the same real-world entity. An accurate noun ...
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What is noun phrase coreference resolution?
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A Machine Learning Approach. Training Data Creation. ▫ Creating training instances. – texts annotated with coreference information. – one instance inst(NPi ...
Name. A Machine Learning Approach to Coreference Resolution of Noun Phrases ; Creator. Wee Meng Soon; Daniel Chung Yong Lim; Hwee Tou Ng ; Collection. The ...
Jun 24, 2024 · In this paper, we present a learning approach to coreference resolution of noun phrases in unrestricted text. The approach learns from a small, ...