SemEval 2022

233 papers

UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations

Thanet Markchom, Huizhi Liang, Jiaoyan Chen

CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models

Abdul Aziz, MD. Akram Hossain, Abu Nowshed Chy

RUG-1-Pegasussers at SemEval-2022 Task 3: Data Generation Methods to Improve Recognizing Appropriate Taxonomic Word Relations

Frank Van Den Berg, Gijs Danoe, Esther Ploeger, Wessel Poelman, Lukas Edman

LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer

Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun

SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic Knowledge

Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, Cristiano Chesi, Felice Dell’Orletta

HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection

Zheng Chu, Ziqing Yang, Yiming Cui, Zhigang Chen, Ming Liu

OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection

Lis Pereira, Ichiro Kobayashi

YNU-HPCC at SemEval-2022 Task 2: Representing Multilingual Idiomaticity based on Contrastive Learning

Kuanghong Liu, Jin Wang, Xuejie Zhang

NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection

Simone Tedeschi, Roberto Navigli

ZhichunRoad at SemEval-2022 Task 2: Adversarial Training and Contrastive Learning for Multiword Representations

Xuange Cui, Wei Xiong, Songlin Wang

HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models

Minghuan Tan

daminglu123 at SemEval-2022 Task 2: Using BERT and LSTM to Do Text Classification

Daming Lu

kpfriends at SemEval-2022 Task 2: NEAMER - Named Entity Augmented Multi-word Expression Recognizer

Minsik Oh

CardiffNLP-Metaphor at SemEval-2022 Task 2: Targeted Fine-tuning of Transformer-based Language Models for Idiomaticity Detection

Joanne Boisson, Jose Camacho-Collados, Luis Espinosa-Anke

JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning

Yash Jakhotiya, Vaibhav Kumar, Ashwin Pathak, Raj Shah

drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM

Dylan Phelps

HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization

Youngju Joung, Taeuk Kim

UAlberta at SemEval 2022 Task 2: Leveraging Glosses and Translations for Multilingual Idiomaticity Detection

Bradley Hauer, Seeratpal Jaura, Talgat Omarov, Grzegorz Kondrak

Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection

Atsuki Yamaguchi, Gaku Morio, Hiroaki Ozaki, Yasuhiro Sogawa

Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection

Sami Itkonen, Jörg Tiedemann, Mathias Creutz

SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding

Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia, Carolina Scarton, Marco Idiart

JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches

Thi Hong Hanh Tran, Matej Martinc, Matthew Purver, Senja Pollak

BL.Research at SemEval-2022 Task 1: Deep networks for Reverse Dictionary using embeddings and LSTM autoencoders

Nihed Bendahman, Julien Breton, Lina Nicolaieff, Mokhtar Boumedyen Billami, Christophe Bortolaso

Uppsala University at SemEval-2022 Task 1: Can Foreign Entries Enhance an English Reverse Dictionary?

Rafal Cerniavski, Sara Stymne

RIGA at SemEval-2022 Task 1: Scaling Recurrent Neural Networks for CODWOE Dictionary Modeling

Eduards Mukans, Gus Strazds, Guntis Barzdins

Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions

Pinzhen Chen, Zheng Zhao

MMG at SemEval-2022 Task 1: A Reverse Dictionary approach based on a review of the dataset from a lexicographic perspective

Alfonso Ardoiz, Miguel Ortega-Martín, Óscar García-Sierra, Jorge Álvarez, Ignacio Arranz

TLDR at SemEval-2022 Task 1: Using Transformers to Learn Dictionaries and Representations

Aditya Srivastava, Harsha Vardhan Vemulapati

IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations

Damir Korencic, Ivan Grubišić

LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary

Bin Li, Yixuan Weng, Fei Xia, Shizhu He, Bin Sun

BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling

Cunliang Kong, Yujie Wang, Ruining Chong, Liner Yang, Hengyuan Zhang

1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task

Zhiyong Wang, Ge Zhang, Nineli Lashkarashvili

Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings

Timothee Mickus, Kees van Deemter, Mathieu Constant, Denis Paperno