HIPE-2026 Shared Task - CALL FOR PARTICIPATION (apologies for cross-postings)
Greetings All,
We are delighted to announce SemEval-2026 Task 9: Detecting Multilingual, Multicultural, and Multievent Online Polarization.
Polarization refers to the sharp division of opinions into opposing groups, often accompanied by hostility and exclusion. This shared task aims to advance our understanding of how polarization manifests in text across languages, cultures, and events. Participants will develop systems to detect and interpret polarized content in contexts such as elections, conflicts, protests, and debates.
We are happy to announce the 1st Shared task on Morphosyntactic Parsing, to be held jointly with Syntaxfest 2025.
Morphosyntactic parsing redefines the content-function boundary to differentiate 'morphological' from 'syntactic' elements. In our morphosyntactic data structure, content words are represented as separate nodes on a dependency graph, even if they share a whitespace-separated word, and both function words and morphemes contribute morphology-style features to characterise the nodes. This makes our format independent of wordhood decisions which are not well-defined across languages.
Interested parties are invited to join the mailing list to be involved in the competition. Participating teams will be invited to submit a paper describing their work to the workshop at SyntaxFest and to present it in a special session in the workshop.
While large language models (LLMs) offer to become a viable alternative to traditional rule-based data-to-text (D2T) natural language generation (NLG), they still suffer from well-known neural model issues, such as lack of controllability and risk of producing harmful text. There are many potential solutions to this problem up for discussion.
We invite you to participate in the shared task on Multilingual Grammatical Error Correction, MultiGEC-2025, covering 12 languages: Czech, English, Estonian, German, Greek, Icelandic, Italian, Latvian, Russian, Slovene, Swedish and Ukrainian.
We invite submissions of papers describing ideas for future shared tasks in the general area of language generation (Generation Challenges 2024). Proposed tasks can be in the area of core NLG, or in other research areas in which language is generated. Examples include, but are not limited to: data-to-text NLG, text-to-text generation (including MT and summarisation), combining core NLG and MT, combining core NLG and text summarisation, NLG quality estimation, NLG evaluation metrics, and/or generating language from heterogeneous data, including image and video.
Greeting
We would like to extend an invitation to participate in the KSAA-CAD: Contemporary Arabic Dictionary Shared Task! For Reverse Dictionary and Word Sense Disambiguation at ArabicNLP 2024!
Please find all the necessary information below.
https://arai.ksaa.gov.sa/sharedTask2024/
Registration deadline: 29th of April 2024.
Hi all,
We would like to invite the community to participate in DialAM-2024: The First Shared Task on Dialogical Argument Mining, part of the 11th Workshop in Argument Mining (https://argmining-org.github.io/2024/index.html#shared_task)
*** Registration ***
*** Slack Channel ***
CfP: Shared Task on Text-Graph Representations for KGQA @ TextGraphs-17
Venue: ACL 2024, TextGraph workshop
Website: https://sites.google.com/view/textgraphs2024/home/shared-task
We are finally launching the 2024 GEM multilingual shared task! It comprises 2 main tasks, Data-to-text generation and Summarization, each of which has 3 subtasks. You can submit automatically generated outputs for one or more subtask(s), in Arabic, Chinese, English, German, Hindi, Korean, Russian, Spanish, and/or Swahili. The deadline for pre-registering your system submissions is March 8th 23.59 AoE (see link below). Note that it will be possible for participants to pre-register after March 8th, but that doing so does not guarantee a participation in the human evaluation.
