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Semantic hierarchy construction aims to build structures of concepts linked by hypernym–hyponym (" is-a ") relations. A major challenge for this task is the automatic discovery of such relations. This paper proposes a novel and effective method for the construction of semantic hierarchies based on word em-beddings, which can be used to measure the semantic(More)
Semantic hierarchy construction aims to build structures of concepts linked by hypernym-hyponym ("is-a") relations. A major challenge for this task is the automatic discovery of such relations. This paper proposes a novel and effective method for the construction of semantic hierarchies based on continuous vector representation of words, named word(More)
We present a method of using cohesion to improve discourse element identification for sentences in student essays. New features for each sentence are derived by considering its relations to global and local cohesion, which are created by means of cohesive resources and subtopic coverage. In our experiments, we obtain significant improvements on identifying(More)
Annotating named entity recognition (NER) training corpora is a costly but necessary process for supervised NER approaches. This paper presents a general framework to generate large-scale NER training data from parallel corpora. In our method, we first employ a high performance NER system on one side of a bilingual corpus. Then, we project the named entity(More)
  • Winter Snow, Lauren Federi, Stephanie Fitz, Stephen Janasik, Daniel Penno, Brian Samuels +34 others
  • 2011
Menopause is a condition where severe depletion of estrogen levels leads to a cluster of adverse symptoms such as anxiety, cutaneous vasodilation/sudomotor "hot flashes", sleep disturbances, and appetite change (Freeman et al., 2005; Seritan et al., 2010). Previously, estrogen replacement therapy was the first line treatment for menopausal symptoms.(More)
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