Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Transforming the data into a suitable representation is the first key step of data analysis, and the performance of any data oriented method is heavily depending on it.  study questions on how  can best learn representations for textual entities that are: 1) precise, 2) robust against noisy terms, 3) transferable over time, and 4) interpretable by human inspection. Inspired by the early work of Luhn,  propose significant words language models of a set of documents that capture all, and only, the significant shared terms from them.  adjust the ights of common terms that are already ll explained by the document collection as ll as the ight of incidental rare terms that are only explained by specific documents, which eventually results in having only the significant terms left in the model.
['Mostafa Dehghani']
I am writing a research paper on a idea Significant Words Representations of Entities
[{"from": "human", "value": "I am writing a research paper on a idea Significant Words Representations of Entities"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Transforming the data into a suitable representation is the first key step of data analysis, and the performance of any data oriented method is heavily depending on it.  study questions on how  can best learn representations for textual entities that are: 1) precise, 2) robust against noisy terms, 3) transferable over time, and 4) interpretable by human inspection. Inspired by the early work of Luhn,  propose significant words language models of a set of documents that capture all, and only, the significant shared terms from them.  adjust the ights of common terms that are already ll explained by the document collection as ll as the ight of incidental rare terms that are only explained by specific documents, which eventually results in having only the significant terms left in the model."}]