HHU at SemEval-2023 Task 3: An Adapter-based Approach for News Genre Classification

被引：0
|
作者：
Billert, Fabian [1 ]
Conrad, Stefan [1 ]
机构：
[1] Heinrich Heine Univ Dusseldorf, Dusseldorf, Germany
来源：
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023 | 2023年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes our approach for Subtask 1 of Task 3 at SemEval-2023. In this subtask, task participants were asked to classify multilingual news articles for one of three classes: Reporting, Opinion Piece or Satire. By training an AdapterFusion layer composing the task-adapters from different languages, we successfully combine the language-exclusive knowledge and show that this improves the results in nearly all cases, including in zero-shot scenarios.
引用
收藏
页码：1166 / 1171
页数：6
相关论文
共 50 条
  • [41] Team TheSyllogist at SemEval-2023 Task 3: Language-Agnostic Framing Detection in Multi-Lingual Online News: A Zero-Shot Transfer Approach
    Afzal, Osama Mohammed
    Nakov, Preslav
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 2058 - 2061
  • [42] TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing Detection
    Pauli, Amalie Brogaard
    Sarabia, Rafael Pablos
    Derczynski, Leon
    Assent, Ira
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 847 - 855
  • [43] LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification
    Chernyshev, Konstantin
    Garanina, Ekaterina
    Bayram, Duygu
    Zheng, Qiankun
    Edman, Lukas
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1573 - 1581
  • [44] Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait Spoiling
    Sharma, Anubhav
    Joshi, Sagar
    Abhishek, Tushar
    Mamidi, Radhika
    Varma, Vasudeva
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1878 - 1889
  • [45] Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling!
    Birkenheuer, Simon
    Drechsel, Jonathan
    Justen, Paul
    Poehlmann, Jimmy
    Gonsior, Julius
    Reusch, Anja
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 969 - 977
  • [46] ReDASPersuasion at SemEval-2023 Task 3: Persuasion Detection using Multilingual Transformers and Language Agnostic Features
    Qachfar, Fatima Zahra
    Verma, Rakesh M.
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 2124 - 2132
  • [47] teamPN at SemEval-2023 Task 1: VisualWord Sense Disambiguation Using Zero-Shot MultiModal Approach
    Katyal, Nikita
    Rajpoot, Pawan
    Tamilarasu, Subhanandh
    Mustafi, Joy
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 457 - 461
  • [48] Soren Kierkegaard at SemEval-2023 Task 4: Label-aware text classification using Natural Language Inference
    Cepeda, Ignacio Talavera
    Pauli, Amalie Brogaard
    Assent, Ira
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1871 - 1877
  • [49] Uppsala University at SemEval-2023 Task12: Zero-shot Sentiment Classification for Nigerian Pidgin Tweets
    Kniele, Annika
    Beloucif, Meriem
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1491 - 1497
  • [50] UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages
    Ronningstad, Egil
    17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1054 - 1060
12345