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Found 7 papers, 1 papers with code
Samsung Research Poland (SRPOL) at SemEval-2022 Task 9: Hybrid Question Answering Using Semantic Roles
In this work we present an overview of our winning system for the R2VQ - Competence-based Multimodal Question Answering task, with the final exact match score of 92. 53%. The task is structured as question-answer pairs, querying how well a system is capable of competence-based comprehension of recipes. We propose a hybrid of a rule-based system, Question Answering Transformer, and a neural classifier for N/A answers recognition. The rule-based system focuses on intent identification, data extraction and response generation.
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation
Moreover, we propose a method that allows the transfer of modules between incompatible PLMs without any change in the inference complexity.
SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection
This paper presents a system used for SemEval-2021 Task 5: Toxic Spans Detection.
Multilingual Entity and Relation Extraction Dataset and Model
We present a novel dataset and model for a multilingual setting to approach the task of Joint Entity and Relation Extraction.
WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining
We present a system for cross-domain suggestion mining, prepared for the SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums (Subtask B).
