Transformer Based Model

method ID: transformerbasedmodel

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Cross-Lingual Training for Automatic Question Generation

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Publication: TIPSTER (2019)

DOI: nan

AbstractAutomatic question generation (QG) is a challenging problem in natural language understanding. QG systems are typically built assuming access to a large number of training instances where each instance is …...

39483

Comparing Probabilistic, Distributional and Transformer-Based Models on Logical Metonymy Interpretation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn linguistics and cognitive science, Logical metonymies are defined as type clashes between an event-selecting verb and an entity-denoting noun (e.g. The editor finished the article), which are typically interpreted …...

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TextLearner at SemEval-2020 Task 10: A Contextualized Ranking System in Solving Emphasis Selection in Text

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Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the emphasis selection system of the team TextLearner for SemEval 2020 Task 10: Emphasis Selection For Written Text in Visual Media. The system aims to learn the …...

24444

Transformer-based Approach for Predicting Chemical Compound Structures

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AbstractBy predicting chemical compound structures from their names, we can better comprehend chemical compounds written in text and identify the same chemical compound given different notations for database creation. Previous …...

449

YNU-HPCC at SemEval-2021 Task 5: Using a Transformer-based Model with Auxiliary Information for Toxic Span Detection

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AbstractToxic span detection requires the detection of spans that make a text toxic instead of simply classifying the text. In this paper, a transformer-based model with auxiliary information is proposed …...

25557

A Transformer-based Threshold-Free Framework for Multi-Intent NLU

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Publication: TIPSTER (2022)

DOI: nan

AbstractMulti-intent natural language understanding (NLU) has recently gained attention. It detects multiple intents in an utterance, which is better suited to real-world scenarios. However, the state-of-the-art joint NLU models mainly …...

3644

AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification

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AbstractThis paper describes the multimodal late fusion model proposed in the SemEval-2022 Multimedia Automatic Misogyny Identification (MAMI) task. The main contribution of this paper is the exploration of different late …...

25064

DEER: Descriptive Knowledge Graph for Explaining Entity Relationships

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Publication: TIPSTER (2022)

DOI: nan

AbstractWe propose DEER (Descriptive Knowledge Graph for Explaining Entity Relationships) - an open and informative form of modeling entity relationships. In DEER, relationships between entities are represented by free-text relation …...

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Improved Opinion Role Labelling in Parliamentary Debates

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This paper presents a model for German Opin- ion Role Labelling (ORL), using the data from the IGGSA-STEPS 2014 and 2016 shared tasks. We frame the problem as a token …...

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CSECU-DSG at SemEval-2023 Task 10: Exploiting Transformers with Stacked LSTM for the Explainable Detection of Online Sexism

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AbstractSexism is a harmful phenomenon that provokes gender inequalities and social imbalances. The expanding application of sexist content on social media platforms creates an unwelcoming and discomforting environment for many …...

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DUTH at SemEval-2023 Task 9: An Ensemble Approach for Twitter Intimacy Analysis

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Publication: TIPSTER (2023)

DOI: nan

AbstractThis work presents the approach developed by the DUTH team for participating in the SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. Our results show that pre-processing techniques do not affect …...

24800