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Lecture Notes in Computer Science
This paper focuses on the use of sense clusters for classification and clustering of very short texts such as conference abstracts. Common keyword-based techniques are effective for very short documents only when the data pertain to different domains. In the case of conference abstracts, all the documents are from a narrow domain (i.e., share a similar terminology), that increases the difficulty of the task. Sense clusters are extracted from abstracts, exploiting the WordNet relationshipsdoi:10.1007/11671299_56 fatcat:laxd2qcggff5rcdtwuqfu4vcfy