shared task

Event information detection consists of multiple subsequent steps that could drastically affect the quality of the resulted event database. Thus, we believe one must consider a complete scenario that consists of document and sentence classification as relevant or not, event coreference resolution, event information extraction, and event classification in relation to an event taxonomy, and test the results on a list of events created manually to determine performance of the state-of-the-art on this task.

As part of a proposal to develop the VoxML modeling language into an ISO Standard for the representation of visual information, the 17th Joint ACL-ISO Workshop on Interoperable Semantic Annotation (ISA) is hosting a shared multimodal annotation. The goal of the task is to assess annotation techniques suitable for extracting habitats, affordances, and spatial relations of objects from image data.

Shared Tasks on Machine Translation in Code-Switching Settings

In the past few years we have organized a series of shared tasks focusing primarily on enabling technology for code-switching, including language identification, part of speech tagging and named entity recognition. This year we are organizing a series of shared tasks involving machine translation for code-switching settings in multiple language combinations and directions.

Task 1. Supervised Setting: MT for English → Hinglish

SemEval-2022: International Workshop on Semantic Evaluation
https://semeval.github.io/

We invite proposals for tasks to be run as part of SemEval-2022. SemEval (the International Workshop on Semantic Evaluation) is an ongoing series of evaluations of computational semantics systems, organized under the umbrella of SIGLEX, the Special Interest Group on the Lexicon of the Association for Computational Linguistics.

We are pleased to announce a new shared task "SemEval 2021 Task 10: Source-Free Domain Adaptation for Semantic Processing", where participants perform unsupervised domain adaptation given only unlabeled target-domain data and a model pre-trained on source-domain data (i.e., no annotated source-domain data is available).

News
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- The deadline for registration to the task has been extended to October 1!

We invite you to participate in the first shared task on Large Multi-lingual Hierarchical Multi-label Classification (MHMC) of Patents. The shared task’s workshop will be held at KONVENS and SwissText 2020.

Final Call for Papers
Final Call for Participation (SR19)
Announcement of invited speakers.

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Second Workshop on Multilingual Surface Realization (+ Shared task)
@EMNLP, November 3rd or 4th 2019, Hong Kong
http://taln.upf.edu/pages/msr2019-ws/
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We are happy to announce that the 2019 Surface Realization Shared Task (SR'19) is now open!

EmotionX 2019

Welcome to EmotionX 2019, the shared task of SocialNLP 2019!

Participants are challenged to predict the emotions induced by dialogue utterances by classifying each utterance into one of four label candidates: joy, sadness, anger, and neutral. We include both spoken and chat-based dialogues. Read more about the task.

NEW! For 2019, we used Google Translate to augment our data using double-translated utterances.

Important Dates