Detecting Minimal Semantic Units and their Meanings (DiMSUM)
نویسندگان
چکیده
This task combines the labeling of multiword expressions and supersenses (coarse-grained classes) in an explicit, yet broad-coverage paradigm for lexical semantics. Nine systems participated; the best scored 57.7% F1 in a multi-domain evaluation setting, indicating that the task remains largely unresolved. An error analysis reveals that a large number of instances in the data set are either hard cases, which no systems get right, or easy cases, which all systems correctly solve.
منابع مشابه
WHUNlp at SemEval-2016 Task DiMSUM: A Pilot Study in Detecting Minimal Semantic Units and their Meanings using Supervised Models
This paper describes our approach towards the SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM). We consider that the two problems are similar to multiword expression detection and supersense tagging, respectively. The former problem is formalized as a sequence labeling problem solved by first-order CRFs, and the latter one is formalized as a classification prob...
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This task combines the labeling of multiword expressions and supersenses (coarse-grained classes) in an explicit, yet broad-coverage paradigm for lexical semantics. Nine systems participated; the best scored 57.7% F1 in a multi-domain evaluation setting, indicating that the task remains largely unresolved. An error analysis reveals that a large number of instances in the data set are either har...
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