Figure 1: 
(a): A sub-graph of BBN formed by Algorithm 2 for GloVe Pennington et al. (2014) trained on 2017-January dump of Wikipedia; we discuss the structure of the graph with respect to the word “nurse”. We illustrate four possible scenarios with respect to their effect on GIPE, with θs = 0.05: (b) An edge with β ¡ θs may not contribute to γi or ηwi; (c) An outgoing edge may contribute to ηwi only; (d) An incoming edge may contribute to γi only; (e) Incoming and outgoing edges may contribute to γi and ηwi respectively. Every node pair association can be categorized as one of the aforementioned four cases.

(a): A sub-graph of BBN formed by Algorithm 2 for GloVe Pennington et al. (2014) trained on 2017-January dump of Wikipedia; we discuss the structure of the graph with respect to the word “nurse”. We illustrate four possible scenarios with respect to their effect on GIPE, with θs = 0.05: (b) An edge with β ¡ θs may not contribute to γi or ηwi; (c) An outgoing edge may contribute to ηwi only; (d) An incoming edge may contribute to γi only; (e) Incoming and outgoing edges may contribute to γi and ηwi respectively. Every node pair association can be categorized as one of the aforementioned four cases.

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