otherentity ID: semeval2023

Related Papers

FII_Better at SemEval-2023 Task 2: MultiCoNER II Multilingual Complex Named Entity Recognition

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis task focuses on identifying complex named entities (NEs) in several languages. In the context of SemEval-2023 competition, our team presents an exploration of a base transformer model’s capabilities regarding …...

24820

FTD at SemEval-2023 Task 3: News Genre and Propaganda Detection by Comparing Mono- and Multilingual Models with Fine-tuning on Additional Data

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractWe report our participation in the SemEval-2023 shared task on propaganda detection and describe our solutions with pre-trained models and their ensembles. For Subtask 1 (News Genre Categorisation), we report …...

24893

iREL at SemEval-2023 Task 9: Improving understanding of multilingual Tweets using Translation-Based Augmentation and Domain Adapted Pre-Trained Models

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes our system (iREL) for Tweet intimacy analysis sharedtask of the SemEval 2023 workshop at ACL 2023. Oursystem achieved an overall Pearson’s r score of 0.5924 and ranked …...

24689

OPI at SemEval-2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy Analysis

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes our submission to the SemEval 2023 multilingual tweet intimacy analysis shared task. The goal of the task was to assess the level of intimacy of Twitter posts …...

24947

YNU-HPCC at SemEval-2023 Task 9: Pretrained Language Model for Multilingual Tweet Intimacy Analysis

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes our fine-tuned pretrained language model for task 9 (Multilingual Tweet Intimacy Analysis, MTIA) of the SemEval 2023 competition. MTIA aims to quantitatively analyze tweets in 6 languages …...

24868