Official website of the Alibaba Cloud Tianchi Competition, numerous events, and substantial cash prizes await you
What is the Alibaba Cloud Tianchi?
Alibaba Cloud TianchiThe platform is China's largestAI developer communityOpen to the public, providing high-quality data (Alibaba data and third-party data) and computing resources, allowing participants to apply their designed algorithms to solve various social or business problems. Today, this community has hosted competitions in over a hundred scenarios such as e-commerce, finance, industry, and healthcare, and has collaborated or served over a hundred institutions.
Alibaba Cloud Tianchi Competition:https://tianchi.aliyun.com/competition/activeList
Official website and registration address for the 2023 first competition:
https://tianchi.aliyun.com/specials/promotion/2023StorageServiceCompetition
Latest Alibaba Cloud Tianchi Competition events
Tianchi, a big data platform under Alibaba Cloud, focuses on mining and delivering outstanding talents within the cloud ecosystem. It aims to create a "Data Intelligence, Mass Innovation" platform, welcoming technical personnel from all over the world to participate in the Tianchi Competition with million-dollar prizes, practice in real business scenarios, compete with global AI talents, challenge world rankings. You can also create your own Tianchi Lab on the platform, enjoy free computing resources, explore real-world data in different industries, and jointly explore innovative models of data intelligence.
As an algorithm competition platform under Alibaba Cloud, Tianchi has spanned over 10 industries including e-commerce, transportation, logistics, healthcare, industry, agriculture, and natural sciences since its establishment, hosting over 500 top-level competitions, including more than 100 academic competitions. The topics of the competitions involve data mining, machine learning, natural language processing, computer vision, graph neural networks, autonomous driving, data visualization, and other popular directions. In the various top-level competitions held by Alibaba Cloud Tianchi, on the one hand, developers can enjoy the high-quality real-world data opened by the platform; on the other hand, excellent solutions designed based on real-world data have played a positive role in promoting the practical application and implementation of technology.This issue selects academic and scientific competitions held by Tianchi in the first half of the year, hoping that these rich topics will inspire your daily work, and welcome everyone to participate in the competition and win honors.Competition Topic Recommendations
Large models are one of the most popular technical topics today. First, we introduce 3 competitions related to large models:Competition One: CCKS2023-PromptCBLUE Chinese Medical Large Model Evaluation ChallengeBackgroundLarge language models (LLM), represented by ChatGPT, GPT-4, and others, have sparked a new wave of research in the field of natural language processing, demonstrating the ability of general artificial intelligence (AGI), and have received extensive attention from the industry. Under the background of the widespread use of LLM, almost all NLP tasks have been transformed into prompt-based language generation tasks. However, in the Chinese medical NLP community, there is no unified task-based evaluation benchmark.To promote the development and implementation of LLM in the medical field,Professor Xiaoliang Wang of East China Normal Universityand the Tianchi team have launchedPromptCBLUEEvaluation Benchmark, which is a secondary development of the CBLUE evaluation benchmark, converting all 16 different medical scene NLP tasks into prompt-based language generation tasks, forming the first Chinese medical scene LLM evaluation benchmark.PromptCBLUEwill be one of the evaluation tasks of CCKS-2023, and will be evaluated on the Tianchi Competition platform.Registration Date: May 4, 2023 - July 13, 2023This competition opens two tracks:General Track Direct Access:https://tianchi.aliyun.com/competition/entrance/532085/introductionOpen Track Direct Access:https://tianchi.aliyun.com/competition/entrance/532084/introductionCompetition Two: CCKS2023-Knowledge Graph Construction and Completion Evaluation Challenge in Open EnvironmentBackgroundKnowledge graphs are a structured data representation form that displays entities and their relationships in a graphical way. Large language models, such as the GPT series models, can capture rich semantic and syntactic information by pre-training on a large amount of text data. Knowledge graphs can provide structured knowledge for large language models, which helps improve the reasoning ability and generation quality of models. By integrating information from knowledge graphs into large language models, the models can become more intelligent and accurate when handling complex tasks. This year, facing the more challenging scenario of knowledge graph construction and completion in open environments, focusing on key technologies such as knowledge extraction and reasoning based on large models,Zhejiang University, in collaboration with the OpenKG Open Knowledge Graph Community and PaperWeekly, organized the evaluation and included two sub-tasks: instruction-driven adaptive knowledge graph construction and inductive knowledge graph relationship reasoning. This evaluation will be carried out on the Tianchi platform (https://tianchi.aliyun.com/), and we encourage participants to use large models (such as ChatGPT), and we will continue to maintain and add more evaluation tasks. Please pay attention to the competition list on the platform for teams interested in participating.Registration Date: April 14, 2023 - July 12, 2023Prize: RMB 20,000This competition opens two tracks:Task One: Instruction-driven Adaptive Knowledge Graph Construction Track Direct Access:https://tianchi.aliyun.com/competition/entrance/532080/introductionInductive Knowledge Graph Relationship ReasoningTrack Direct Access:https://tianchi.aliyun.com/competition/entrance/532081/introductionCompetition Three: CCL23-Ancient Text Named Entity Recognition ChallengeNamed entity recognition (NER) tasks aim to automatically identify important entities such as names, places, and organizations in text. Named entity recognition in ancient Chinese literature is a basic step for correctly analyzing and processing ancient Chinese texts and is also an important premise for deep mining and organizing humanistic knowledge. Based on the "Twenty-Four Histories," the Institute of Artificial Intelligence at Peking University and the Digital Humanities Research Center at Peking University have designed an entity knowledge system covering names, book titles, official titles, and more, constructed a historical and cross-domain data resource covering multiple dynasties, and improved the establishment of the named entity recognition task in ancient texts, promoting the breakthrough and development of technology and helping the intelligent development and utilization of ancient text resources. Participants can fully utilize their own models or open-source models for ancient text mining.Registration Date: April 1, 2023 - June 1, 2023Prize: RMB 20,000This competition opens two tracks:Closed Track Track Direct Access:https://tianchi.aliyun.com/dataset/151499Open Track Track Direct Access:https://tianchi.aliyun.com/dataset/151111Competition Four: CCL2023-Chinese Frame Semantic Parsing Evaluation ChallengeFrame semantic parsing (FSP) is an important task in the field of natural language processing, aiming to extract frame semantic structures from sentences and achieve deep understanding of events or situations involved in the sentences. FSP is of great significance in downstream tasks such as reading comprehension, text summarization, and relation extraction.The CFN1.0 (Chinese FrameNet, CFN) dataset is constructed byShanxi Universityin collaboration with Peking University and Nanjing University based on real Chinese language corpus, consisting of frame knowledge and annotated sentences, containing nearly 700 semantic frames and 20,000 annotated sentences, and was evaluated in the 22nd China National Conference on Computational Linguistics (CCL 2023). This competition includes 3 sub-topics:Sub-task 1: Frame Identification, identifying the frame activated by the given target word in the sentence.Sub-task 2: Argument Identification, identifying the boundary range of the arguments dominated by the given target word in the sentence.Sub-task 3: Role Identification, predicting the semantic role labels of the arguments identified in sub-task 2.- : May 4, 2023 - May 27, 2023
https://tianchi.aliyun.com/competition/entrance/532083/introductionCompetition Five: CAAI-BDSC2023 Social Graph Link Prediction Challengehttps://tianchi.aliyun.com/competition/entrance/532083/introductionChallenge 5: CAAI-BDSC2023 Social Graph Link Prediction Competition