ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings

This paper presents our system submitted for SemEval 2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiM-SUM; We extend AMALGrAM The first information source uses a semantic knowledge base (YAGO3; The second information source employs word embeddings (GloVe; We conduct a detailed evaluation and error analysis for our features and come to the conclusion that both our extensions lead to an improved detection for SST.