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</script>This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction. We provided participants with an augmented version of the CompLex Corpus (Shardlow et al 2020). CompLex is an English multi-domain corpus in which words and multi-word expressions (MWEs) were annotated with respect to their complexity using a five point Likert scale. SemEval-2021 Task 1 featured two Sub-tasks: Sub-task 1 focused on single words and Sub-task 2 focused on MWEs. The competition attracted 198 teams in total, of which 54 teams submitted official runs on the test data to Sub-task 1 and 37 to Sub-task 2.
FOS: Computer and information sciences, Artificial intelligence, Word-sense disambiguation, Economics, WordNet, Word (group theory), Geometry, Mathematical analysis, Task (project management), Point (geometry), Artificial Intelligence, Lexical Simplification, FOS: Mathematics, Natural Language Processing, Computer Science - Computation and Language, Complex Word Identification, Domain (mathematical analysis), Natural language processing, Linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, Management, FOS: Philosophy, ethics and religion, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Automatic Text Simplification and Readability Assessment, Computation and Language (cs.CL), Mathematics, SemEval
FOS: Computer and information sciences, Artificial intelligence, Word-sense disambiguation, Economics, WordNet, Word (group theory), Geometry, Mathematical analysis, Task (project management), Point (geometry), Artificial Intelligence, Lexical Simplification, FOS: Mathematics, Natural Language Processing, Computer Science - Computation and Language, Complex Word Identification, Domain (mathematical analysis), Natural language processing, Linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, Management, FOS: Philosophy, ethics and religion, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Automatic Text Simplification and Readability Assessment, Computation and Language (cs.CL), Mathematics, SemEval
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 38 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
