30 citations · 194 across the 50 of their papers we have counts for
Showing 2017 · cs.CLShow all
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cs.CL2017
Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain
Mayank Kejriwal
Word embeddings have made enormous inroads in recent years in a wide variety of text mining applications. In this paper, we explore a word embedding-based architecture for predicti…
cs.CL2017★ 11 cited
Supervised Typing of Big Graphs using Semantic Embeddings
Mayank Kejriwal, Pedro Szekely
We propose a supervised algorithm for generating type embeddings in the same semantic vector space as a given set of entity embeddings. The algorithm is agnostic to the derivation…
cs.CL2017★ 30 cited
Information Extraction in Illicit Domains
Mayank Kejriwal, Pedro Szekely
Extracting useful entities and attribute values from illicit domains such as human trafficking is a challenging problem with the potential for widespread social impact. Such domain…