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SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense

J. A. Meaney, Steven Wilson, Luis Chiruzzo, Adam Lopez, Walid Magdy
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
SemEval 2021 Task 7, HaHackathon, was the first shared task to combine the previously separate domains of humor detection and offense detection.  ...  Our subtasks were binary humor detection, prediction of humor and offense ratings, and a novel controversy task: to predict if the variance in the humor ratings was higher than a specific threshold.  ...  Acknowledgments This work was supported in part by the EPSRC Centre for Doctoral Training in Data Science, funded by the UK Engineering and Physical Sciences Research Council (grant EP/L016427/1) and the  ... 
doi:10.18653/v1/2021.semeval-1.9 fatcat:xnse5tjvl5h67je3gieeo566ka

MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training [article]

Jian Ma, Shuyi Xie, Haiqin Yang, Lianxin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo
2021 arXiv   pre-print
This paper describes MagicPai's system for SemEval 2021 Task 7, HaHackathon: Detecting and Rating Humor and Offense. This task aims to detect whether the text is humorous and how humorous it is.  ...  Finally, we perform interactive joint learning on multiple tasks to capture the relationship between whether the text is humorous and how humorous it is.  ...  The SemEval 2021 Task 7, HaHackathon: Detecting and Rating Humor and Offense, consists of four subtasks: Subtask 1 simulates the previous humor detection task, in which all scores are averaged to provide  ... 
arXiv:2104.10336v2 fatcat:5wph6t2rdndandnhixu76qfbvu

FII FUNNY at SemEval-2021 Task 7: HaHackathon: Detecting and rating Humor and Offense

Mihai Samson, Daniela Gifu
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
The "HaHackathon: Detecting and Rating Humor and Offense" task at the SemEval 2021 competition focuses on detecting and rating the humor level in sentences, as well as the level of offensiveness contained  ...  In this paper we present an approach based on recent Deep Learning techniques by both trying to train the models based on the dataset solely and by trying to fine tune pretrained models on gigantic corpus  ...  Dataset and Methods This section contains details about the dataset built as part of SemEval-2021 Task 7 HaHackathon: Detecting and Rating Humor and Offense, which was the basis for solving the subtasks  ... 
doi:10.18653/v1/2021.semeval-1.174 fatcat:wkad77rlffb2rmulfceukzz6di

ZYJ at SemEval-2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense with ALBERT-Based Model

Yingjia Zhao, Xin Tao
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
This article introduces the submission of subtask 1 and subtask 2 that we participate in SemEval-2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense, we use a model based on ALBERT that uses  ...  Although humorous language can bring joy to people, it is also easy to cause offense.  ...  SemEval-2021 Shared Task 7: HaHackathon: Detecting and Rating Humor and Offense (Meaney et al., 2021) shared task has two subtasks.  ... 
doi:10.18653/v1/2021.semeval-1.165 fatcat:i4ok2z4rtnd7tbazirwkl4gkau

DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense

Hani Al-Omari, Isra'a AbedulNabi, Rehab Duwairi
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
The proposed models, where given a text in cased and uncased type obtained from SemEval-2021 Task7: HaHackathon: Linking Humor and Offense Across Different Age Groups.  ...  This paper utilizes and compares transformers models; BERT base and Large, BERTweet, RoBERTa base and Large, and RoBERTa base irony, for detecting and rating humor and offense.  ...  Introduction SemEval 2021 Task7 is constructed to detect and rate the humor and offense inside jokes in the English language (Meaney et al., 2021) .  ... 
doi:10.18653/v1/2021.semeval-1.155 fatcat:r7vgelmbrvfilde2smrshkjklq

YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You Need

Mayukh Sharma, Ilanthenral Kandasamy, W.b. Vasantha
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
In this paper, we describe our system used for SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense.  ...  We used a simple fine-tuning approach using different Pre-trained Language Models (PLMs) to evaluate their performance for humor and offense detection.  ...  SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense (Meaney et al., 2021) aims to draw attention to these challenges in humor detection.  ... 
doi:10.18653/v1/2021.semeval-1.161 fatcat:zmct4ssnpjh6xousl6l5lmyxyq

RoMa at SemEval-2021 Task 7: A Transformer-based Approach for Detecting and Rating Humor and Offense

Roberto Labadie, Mariano Jason Rodriguez, Reynier Ortega, Paolo Rosso
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
In this paper we describe the systems used by the RoMa team in the shared task on Detecting and Rating Humor and Offense (HaHackathon) at SemEval 2021.  ...  Our systems achieved the best results for humor classification using model one, whereas for offensive and humor rating the second model obtained better performance.  ...  -096212-B-C31), funded by Spanish Ministry of Science and Innovation, and DeepPattern (PROMETEO/2019/121), funded by the Generalitat Valenciana.  ... 
doi:10.18653/v1/2021.semeval-1.37 fatcat:qeiqj6ozw5einpeijhfzwt2cmi

Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense

Renyuan Liu, Xiaobing Zhou
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
This paper introduces the result of Team Grenzlinie's experiment in SemEval-2021 task 7: HaHackathon: Detecting and Rating Humor and Offense in English. This task has two subtasks.  ...  Subtask1 includes the humor detection task, the humor rating prediction task, and the humor controversy detection task. Subtask2 is an offensive rating prediction task.  ...  Conclusion This paper introduces the experiment in SemEval-2021 task 7 HaHackathon: Detecting and Rating Humor and Offense. In this article, we propose two main assumptions.  ... 
doi:10.18653/v1/2021.semeval-1.34 fatcat:gscqzkvyn5htxobutfkqmupdyy

HumorHunter at SemEval-2021 Task 7: Humor and Offense Recognition with Disentangled Attention

Yubo Xie, Junze Li, Pearl Pu
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
In this paper, we describe our system submitted to SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense.  ...  The task aims at predicting whether the given text is humorous, the average humor rating given by the annotators, and whether the humor rating is controversial.  ...  SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense (Meaney et al., 2021) aims at detecting and rating humor as well as offense in short English text.  ... 
doi:10.18653/v1/2021.semeval-1.33 fatcat:kdtpm2nhyzdbxesb4dgxggs6vu

UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word Embeddings

José Antonio García-Díaz, Rafael Valencia-García
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
In this manuscript we describe the participation of the UMUTeam in HaHackathon 2021, whose objective is to detect and rate humorous and controversial content.  ...  or Emotion Detection.  ...  In addition, José Antonio García-Díaz has been supported by Banco Santander and University of Murcia through the industrial doctorate programme.  ... 
doi:10.18653/v1/2021.semeval-1.152 fatcat:olizerjbtngiddnbeoclm53oyq

Amherst685 at SemEval-2021 Task 7: Joint Modeling of Classification and Regression for Humor and Offense

Brian Zylich, Akshay Gugnani, Gabriel Brookman, Nicholas Samoray
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
This paper describes our submission to the SemEval'21: Task 7-HaHackathon: Detecting and Rating Humor and Offense.  ...  We explore why intermediate finetuning and backtranslation do not provide the same benefit as on other natural language processing tasks and offer insight into the errors that our model makes.  ...  HaHackathon Competition Dataset The training dataset consists of 8000 texts (Meaney et al., 2021) and four subtasks: humor classification, humor rating, humor controversy, and offense rating.  ... 
doi:10.18653/v1/2021.semeval-1.168 fatcat:unucliooqbgmxafqxppdquhchy

TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings

Rajalakshmi Sivanaiah, Angel Deborah S, S Milton Rajendram, Mirnalinee Tt, Abrit Pal Singh, Aviansh Gupta, Ayush Nanda
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
The model is re-trained and the weights are learned for the dataset. This system was developed for the task 7 of the competition, SemEval 2021.  ...  This paper describes the system used for detecting humor in text. The system developed by the team TECHSSN uses binary classification techniques to classify the text.  ...  In Se-mEval 2021, we participated in subtask-1a and 1c of humor and offensiveness detection in task 7-HaHackathon (Meaney et al., 2021) .  ... 
doi:10.18653/v1/2021.semeval-1.167 fatcat:sy36c4isb5cdpadseo7ertkequ

Gulu at SemEval-2021 Task 7: Detecting and Rating Humor and Offense

Maoqin Yang
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
Humor recognition is a challenging task in natural language processing. This document presents my approaches to detect and rate humor and offense from the given English text.  ...  This task includes 2 tasks: task 1 which contains 3 subtasks (1a, 1b, and 1c), and task 2. Subtask 1a and 1c can be regarded as classification problems and take ALBERT as the basic model.  ...  Conclusion and Future Work In this work, I present my result on HaHackathon: Detecting and Rating Humor and Offense which includes four subtasks.  ... 
doi:10.18653/v1/2021.semeval-1.156 fatcat:djez5z2v2jeonjoqqaygm5txhi

DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021?

Alexandros Karasakalidis, Dimitrios Effrosynidis, Avi Arampatzis
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
This paper describes the approach that was developed for SemEval 2021 Task 7 Hahackathon: Incorporating Demographic Factors into Shared Humor Tasks (Meaney et al., 2021) by the DUTH Team.  ...  the given tasks.  ...  Background In this section we describe each subtask's objective, the given data, and evaluation measures. Subtasks The main objectives of SemEval 2021 Task 7 were split into 4 subtasks.  ... 
doi:10.18653/v1/2021.semeval-1.157 fatcat:aisngunsvjcyjdgaaetahb5gla

Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness

Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi
2021 Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)   unpublished
Our experiments on the SemEval-2021 Task 7: HaHackathon show that we can develop reasonable humor and offense detection systems with such models.  ...  This paper explores whether large neural models and their ensembles can capture the intricacies associated with humor/offense detection and rating.  ...  Background Problem Description SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense (Meaney et al., 2021) involves two main tasks -humor detection and offense detection.  ... 
doi:10.18653/v1/2021.semeval-1.36 fatcat:5qo3mhdpvjakdiegeuqooorvcq
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