摘要：內(nèi)容來自，人工智能數(shù)據(jù)科學(xué)比賽整理平臺(tái)。本項(xiàng)目由強(qiáng)力支持。每篇文章識(shí)別最多三個(gè)核心實(shí)體，并分別判斷文章對(duì)上述核心實(shí)體的情感傾向積極中立消極三種。

Special Sponsors

內(nèi)容來自 DataSciComp，人工智能/數(shù)據(jù)科學(xué)比賽整理平臺(tái)。
Github：iphysresearch/DataSciComp
本項(xiàng)目由 ApacheCN 強(qiáng)力支持。
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http://www.inf.pucrs.br/linat...

18th March - 24th September, 2019 // Host by IberLEF 2019 // Prize: NaN

Note: The main objective of these tasks is to propose to participants the challenge of applying their systems/solutions to the activities of Named Entity Recognition (NER) and/or Relation Extraction (RE) in Portuguese texts.
Task 1: Named Entity Recognition
Task 2: Relation Extraction for Named Entities
Task 3: General Open Relation Extraction

https://sites.google.com/view...

18th March - 24th September, 2019 // Host by IberLEF 2019 // Prize: NaN

Note: The goal of the second edition of MEX-A3T is to further improve the research in these two important NLP tasks as well as to continue pushing the computational treatment of the Mexican Spanish. The MEX-A3T@IberLEF2019 has the following two tracks:
AUTHOR PROFILING TRACK
AGGRESSIVENESS DETECTION TRACK

https://www.biendata.com/comp...

03/20 - 05/22 2019 // Host by Biendata // Prize: ￥75,000

Note: 給定若干文章，目標(biāo)是判斷文章的核心實(shí)體以及對(duì)核心實(shí)體的情感態(tài)度。每篇文章識(shí)別最多三個(gè)核心實(shí)體，并分別判斷文章對(duì)上述核心實(shí)體的情感傾向（積極、中立、消極三種）。

https://www.kaggle.com/c/dont...

Now - May 7th, 2019 // Host by Kaggle // Prize: Kaggle Swag

Note: A Fistful of Samples

https://unearthed.solutions/u...

28 Feb - 31 May, 2019 // Host by Unearthed // Prize: $1,000,000

Note: Join a global challenge to test the limits of data science and geology and develop new ideas about mineral exploration. OZ Minerals, a modern mining company, is opening up >2TB of their own private data from their exploration project, Mount Woods. Can you use this data to predict the next mineral deposit in South Australia? The winning models will be tested in real life, the top predictions will be drilled in 2019.

https://aihabitat.org/challenge/

Apr 3 - May 19, 2019 // Host by EvalAI & Habitat Team & CVPR 2019 // Prize: $10k

Note: The objective of Habitat Challenge is to benchmark the state-of-the-art in goal-directed visual navigation around the PointGoal task as defined by Anderson et al. The challenge is built on top of the Habitat stack.

http://challenge.ai.iqiyi.com...

February 28 - July 8, 2019 // Host by 愛奇藝|iQIYI & AVS Workgroup // Prize: 6,000 US dollars

Note: The goal of the iQIYI-VID-2019 Challenge is as follows: For each identity in the training set, find all the video clips of the same identity in the test set. And the retrieval result list should be ordered according to the similarity between each test clip and the query.

https://visualqa.org/challeng...

Jan 29, 2019 - May 11, 2019 // Host by EvalAI & CVPR 2019 // Prize: $10k for Google Cloud Platform

Note: Given an image and a natural language question about the image, the task is to provide an accurate natural language answer.

http://carlachallenge.org/cha...

13 March - May 12, 2019 // Host by EvalAI // Prize: $8,000.00

Note: The CARLA Autonomous Driving challenge encourages the development of state-of-the-art autonomous driving systems to tackle complex traffic scenarios.
Track 1 - LIDAR, GPS and Cameras. All sensors track, for robotics teams that want to leverage the power of sensor fusion.
Track 2 - Cameras and GPS. Only cameras track, for brave ML teams that want to explore driving with cameras.
Track 3 - HD map, waypoints and all sensors. Map-based track, for teams that want to exploit available AD stacks based on HD maps and pre-computed waypoints
Track 4 - Scene layout. A perception-less track, for teams that don’t want to deal with perception and prefer to focus on planning and control aspects.

https://competitions.codalab....

March 7 - September 24, 2019 // Host by CodaLab & SEPLN2019 & IberLEF 2019 // Prize: NaN

Note: The first aim of this task is the furtherance of research on sentiment analysis in Spanish with a special interest on the language used in Twitter.

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