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We present the submission of team DICoE for FinSim-3, the 3rd Shared Task onLearning Semantic Similarities for the Financial Domain. The task provides aset of terms in the financial domain and requires to classify them into themost relevant hypernym from a financial ontology. After augmenting the termswith their Investopedia definitions, our system employs a Logistic Regressionclassifier over financial word embeddings and a mix of hand-crafted anddistance-based features. Also, for the first time in this task, we employdifferent replacement methods for out-of-vocabulary terms, leading to improvedperformance. Finally, we have also experimented with word representationsgenerated from various financial corpora. Our best-performing submission ranked4th on the task's leaderboard.

DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features