Dr. Radhika Mamidi and students  presented the following papers at the Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval-2020), Barcelona, Spain. The conference was held virtually from 12–13 December.

• Multimodal Memotion Analysis – Sunil Gundapu and Radhika Mamidi

• Syntactic and Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data –  Sunil Gundapu and Radhika Mamidi

SemEval (the International Workshop on Semantic Evaluation) is an ongoing series of evaluations of computational semantics systems, organized under the umbrella of SIGLEX, the Special Interest Group on the Lexicon of the Association for Computational Linguistics.

The SemEval evaluations explore the nature of meaning in natural languages in practical terms, by providing a mechanism to identify problems (e.g., how to characterize meaning and what is necessary to compute it) and to explore the strengths of possible solutions by means of standardized evaluation on shared datasets. SemEval evaluations initially focused on identifying word senses computationally, but have later grown to investigate the interrelationships among elements in a sentence (e.g., semantic relations, semantic parsing, semantic role labeling), relations between sentences (e.g., coreference), and author attitudes (e.g., sentiment analysis), among other research directions.