Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Word embeddings have recently proven useful in a number of different applications that deal with natural language. Such embeddings succinctly reflect semantic similarities beten words based on their sentence-internal contexts in large corpora. ,  show that information extraction techniques provide valuable additional evidence of semantic relationships that can be exploited when producing word embeddings.  propose a joint model to train word embeddings both on regular context information and on more explicit semantic extractions. The word vectors obtained from such an augmented joint training show improved results on word similarity tasks, suggesting that they can be useful in applications that involve word meanings.
['Jiaqiang Chen', 'Gerard de Melo']
I am writing a research paper on a idea Semantic Information Extraction for Improved Word Embeddings
[{"from": "human", "value": "I am writing a research paper on a idea Semantic Information Extraction for Improved Word Embeddings"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Word embeddings have recently proven useful in a number of different applications that deal with natural language. Such embeddings succinctly reflect semantic similarities beten words based on their sentence-internal contexts in large corpora. ,  show that information extraction techniques provide valuable additional evidence of semantic relationships that can be exploited when producing word embeddings.  propose a joint model to train word embeddings both on regular context information and on more explicit semantic extractions. The word vectors obtained from such an augmented joint training show improved results on word similarity tasks, suggesting that they can be useful in applications that involve word meanings."}]