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SemEval-2022

The 16th International Workshop on Semantic Evaluation

SemEval-2022 Schedule

SemEval-2022 will be colocated with NAACL 2022. All times shown below are in Seattle local time (UTC-7).

Online poster sessions will be held on Gather, and online oral sessions will be held on Zoom. The links are available on Underline.

In-person poster sessions will be held in the Regency ballroom. In-person oral sessions will be held in Elwha B, except for Allyson Ettinger's invited talk (joint with *SEM), which will be in Elwha A. Oral sessions will also be streamed on Zoom.

Thursday, 14th July

8:30-10:00 Poster Session 1, System Description Papers (Online: Gather)
  • LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary
  • BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling
  • daminglu123 at SemEval-2022 Task 2: Using BERT and LSTM to Do Text Classification
  • kpfriends at SemEval-2022 Task 2: NEAMER - Named Entity Augmented Multi-word Expression Recognizer
  • drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM
  • OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection
  • NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection
  • SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model
  • RUG-1-Pegasussers at SemEval-2022 Task 3: Data Generation Methods to Improve Recognizing Appropriate Taxonomic Word Relations
  • Felix&Julia at SemEval-2022 Task 4: Patronizing and Condescending Language Detection
  • PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning
  • Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation
  • akaBERT at SemEval-2022 Task 6: An Ensemble Transformer-based Model for Arabic Sarcasm Detection
  • X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection
  • LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection
  • YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic
  • SLPL-Sentiment at SemEval-2022 Task 10: Making Use of Pre-Trained Model's Attention Values in Structured Sentiment Analysis
  • ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach
  • ZHIXIAOBAO at SemEval-2022 Task 10: Apporoaching Structured Sentiment with Graph Parsing
  • DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models
  • silpa_nlp at SemEval-2022 Tasks 11: Transformer based NER models for Hindi and Bangla languages
  • UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition
  • PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions
  • Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER Task
  • UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition
  • RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism
  • USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition
  • JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their Descriptions

10:00-10:30 Coffee break

10:30-11:45 Oral Session 1, Task Description Papers (Online: Zoom or Elwha B)
  • Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings
  • SemEval-2022 Task 3: Evaluating Neural Networks on Presuppositional Semantic Knowledge (PreTENS)
  • SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification
  • SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic
  • SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts

11:45-13:30 Lunch break

13:30-15:00 Invited Talk, Alane Suhr: Two Approaches to Grounded Language Evaluation (Elwha B or Zoom)

15:00-15:30 Coffee break

15:30-17:15 Oral Session 2, Task Description Papers (Elwha B or Zoom)
  • SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
  • SemEval-2022 Task 4: Patronizing and Condescending Language Detection
  • SemEval-2022 Task 8: Multilingual news article similarity
  • SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question Answering
  • SemEval-2022 Task 10: Structured Sentiment Analysis
  • SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
  • SemEval-2022 Task 12: Symlink - Linking Mathematical Symbols to their Descriptions

17:15-17:30 Announcements: SemEval-2022 Best Paper Awards, SemEval-2023 Tasks (Elwha B or Zoom)

Friday, 15th July

8:30-10:00 Poster Session 2, System Description Papers (Online: Gather)
  • JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches
  • Uppsala University at SemEval-2022 Task 1: Can Foreign Entries Enhance an English Reverse Dictionary?
  • HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models
  • Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection
  • HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection
  • YNU-HPCC at SemEval-2022 Task 2: Representing Multilingual Idiomaticity based on Contrastive Learning
  • HW-TSC at SemEval-2022 Task3: A Unified Approach Fine-tuned on Multilingual Pretrained Model for PreTENS
  • LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer
  • ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language
  • YNU-HPCC at SemEval-2022 Task 4: Finetuning Pretrained Language Models for Patronizing and Condescending Language Detection
  • McRock at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Multi-Channel CNN, Hybrid LSTM, DistilBERT and XLNet
  • UniBO at SemEval-2022 Task 5: A Multimodal bi-Transformer Approach to the Binary and Fine-grained Identification of Misogyny in Memes
  • RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs
  • INF-UFRGS at SemEval-2022 Task 5: analyzing the performance of multimodal models
  • MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection
  • UIC-NLP at SemEval-2022 Task 5: Exploring Contrastive Learning for Multimodal Detection of Misogynistic Memes
  • reamtchka at SemEval-2022 Task 6: Investigating the effect of different loss functions for Sarcasm detection for unbalanced datasets
  • IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English
  • DUCS at SemEval-2022 Task 6: Exploring Emojis and Sentiments for Sarcasm Detection
  • JBNU-CCLab at SemEval-2022 Task 7: DeBERTa for Identifying Plausible Clarifications in Instructional Texts
  • X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications
  • Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression
  • ITNLP2022 at SemEval-2022 Task 8: Pre-trained Model with Data Augmentation and Voting for Multilingual News Similarity
  • HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity
  • EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity
  • HuaAMS at SemEval-2022 Task 8: Combining Translation and Domain Pre-training for Cross-lingual News Article Similarity
  • OversampledML at SemEval-2022 Task 8: When multilingual news similarity met Zero-shot approaches
  • Samsung Research Poland (SRPOL) at SemEval-2022 Task 9: Hybrid Question Answering Using Semantic Roles
  • SPDB Innovation Lab at SemEval-2022 Task 10: A Novel End-to-End Structured Sentiment Analysis Model based on the ERNIE-M
  • KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition
  • DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
  • SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
  • L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition

10:00-10:30 Coffee break

10:30-12:00 Poster Session 3, System Description Papers (Regency Ballroom)
  • RIGA at SemEval-2022 Task 1: Scaling Recurrent Neural Networks for CODWOE Dictionary Modeling
  • Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions
  • JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning
  • UAlberta at SemEval-2022 Task 2: Leveraging Glosses and Translations for Multilingual Idiomaticity Detection
  • Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection
  • UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation
  • UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks
  • DH-FBK at SemEval-2022 Task 4: Leveraging Annotators' Disagreement and Multiple Data Views for Patronizing Language Detection
  • JUST-DEEP at SemEval-2022 Task 4: Using Deep Learning Techniques to Reveal Patronizing and Condescending Language
  • MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities
  • RIT Boston at SemEval-2022 Task 5: Multimedia Misogyny Detection By Using Coherent Visual and Language Features from CLIP Model and Data-centric AI Principle
  • TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes
  • MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic Datasets

12:00-13:30 Lunch break

13:30-15:00 Invited Talk, Allyson Ettinger: "Understanding" and prediction: Controlled examinations of meaning sensitivity in pre-trained models [Shared with *SEM] (Elwha A or Zoom)

15:00-15:30 Coffee break

15:30-17:00 Poster Session 4, System Description Papers (Regency Ballroom)
  • MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic Datasets
  • CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic
  • SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages
  • LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover's Distance
  • WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices
  • SemEval-2022 Task 8: Multi-lingual News Article Similarity
  • Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis
  • SenPoi at SemEval-2022 Task 10: Point me to your Opinion, SenPoi
  • Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition
  • UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer
  • Infrrd.ai at SemEval-2022 Task 11: A system for named entity recognition using data augmentation, transformer-based sequence labeling model, and EnsembleCRF
  • OPDAI at SemEval-2022 Task 11: A hybrid approach for Chinese NER using outside Wikipedia knowledge
  • SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking
  • AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities