Enhancing Domain-Specific Entity Linking in DH
نویسندگان
چکیده
For the purpose of information retrieval and text exploration, digital humanities (DH) scholars have examined the potential of methods such as keyphrase extraction (Hasan and Ng, 2014) and named entity recognition (Nadeau and Sekine, 2007). However, these solutions still face challenges in the presence of polysemy and synonymy (e.g. distinguish between “Paris” the capital of France or the city in Ontario or recognize that “POTUS” and “Barack Obama” might refer to the same person).
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