Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Previous work on text coherence was primarily based on matching multiple mentions of the same entity in di erent parts of the text; therefore, it misses the contribution from semantically related but not necessarily coreferential entities (e.g., Gates and Microsoft). ,  capture such semantic relatedness by leveraging world knowledge (e.g., Gates is the person who created Microsoft), and use two existing evaluation frameworks. First, in the unsupervised framework,  introduce semantic relatedness as an enrichment to the original graph-based model of Guinaudeau and Strube (2013). In addition,  incorporate semantic relatedness as additional features into the popular entity-based model of Barzilay and Lapata (2008). Across both frameworks, our enriched model with semantic relatedness outperforms the original methods, especially on short documents.
['Muyu Zhang', 'Vanessa Wei Feng', 'Bing Qin', 'Graeme Hirst', 'Ting Liu', 'Jingwen Huang']
I am writing a research paper on a idea Encoding World Knowledge in the Evaluation of Local Coherence
[{"from": "human", "value": "I am writing a research paper on a idea Encoding World Knowledge in the Evaluation of Local Coherence"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Previous work on text coherence was primarily based on matching multiple mentions of the same entity in di erent parts of the text; therefore, it misses the contribution from semantically related but not necessarily coreferential entities (e.g., Gates and Microsoft). ,  capture such semantic relatedness by leveraging world knowledge (e.g., Gates is the person who created Microsoft), and use two existing evaluation frameworks. First, in the unsupervised framework,  introduce semantic relatedness as an enrichment to the original graph-based model of Guinaudeau and Strube (2013). In addition,  incorporate semantic relatedness as additional features into the popular entity-based model of Barzilay and Lapata (2008). Across both frameworks, our enriched model with semantic relatedness outperforms the original methods, especially on short documents."}]