SemEval-2016 task 10: Detecting minimal semantic units and their meanings (DiMSUM).

TY - GEN

T1 - SemEval-2016 task 10

T2 - 10th International Workshop on Semantic Evaluation

AU - Schneider, Nathan

AU - Hovy, Dirk

AU - Johannsen, Anders Trærup

AU - Carpuat, Marine

N1 - Conference code: 10

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

M3 - Article in proceedings

SN - 978-1-941643-95-2

SP - 546

EP - 559

BT - Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

PB - Association for Computational Linguistics

Y2 - 16 June 2016 through 17 June 2016

ER -