Machine Learning

The CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC) is the annual meeting of CCF-NLP (Technical Committee of Natural Language Processing, China Computer Federation). NLPCC is a leading international conference specialized in the fields of Natural Language Processing (NLP) and Chinese Computing (CC). NLPCC is in the list of CS conferences recommended by CCF.

With the recent advances in the field of Computational Linguistics (CL) brought on by rapid developments in neural models, the goal of this conference is to focus on the application of AI/ML in NLP and CL. The ACLing 2024 aims to bring together leading academicians, scientists, researchers and practitioners from all over the world to exchange new ideas and the latest results in Computational Linguistics and NLP; a field that has become increasingly important. The scope of the conference encompasses the theory and practice of all aspects of AI/ML in Computational Linguistics. The British University in Dubai has been chosen to organize the ACLing2024 conference because it has a mission for establishing itself as a provider of world class scholarship, education and research.

1st Call for Papers

The 1st Workshop on Machine Learning for Ancient Languages @ ACL 2024
Bangkok, Thailand
Thursday, August 15 2024 (co-located with ACL 2024)
https://www.ml4al.com

DESCRIPTION

Symposium Description

Dear colleagues,

We are excited to invite you to submit your research and participate in the upcoming Machine Learning for Cognitive and Mental Health (CMH) Workshop at AAAI 2024.

Topics of Interest

This workshop encourages and promotes research efforts towards more inclusive multimodal technologies for CMH applications and tools to assess those methods. We invite papers which focus on the topics of interest (but is not limited to):

The specialized Natural Language Processing master's program at UC Santa Cruz equips students with the skills and in-depth knowledge needed for a successful career in the rapidly growing NLP field. Over the past year, students have worked in teams mentored by industry experts to develop Capstone projects that address real-world NLP challenges.

Join us online on August 26 (1 - 5 PM PDT) to learn about each project and participate in our NLP Industry Panel.

Overview
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IEEE International Multi Topic Conference, INMIC (International Conference on Emerging Technologies) is the flag ship annual conference of IEEE in Pakistan. The conference is a prestigious venue where top of the line researchers and scientist come together to present their novel research contributions and to disseminate the results. The 24th version of the conference is to be organized by National University of Computer and Emerging Sciences, NU FAST, Islamabad, Pakistan.

Excited by generation, control, and disentanglement? Come to our CtrlGen controllable generation workshop (https://ctrlgenworkshop.github.io) at NeurIPS next Monday, December 13th!

We feature a mix of 7 talks on the latest in controllable generation, a live QA + panel discussion, poster presentations of several interesting works, creative demos of controllable generation systems, and networking opportunities.

*** Due to the recent surges of Covid-19 around the world, the organizers of the RepL4NLP-2021 workshop extended the paper submission deadline to May 3, 2021. Please see details below. ***

New Deadline: May 3, 2021

The 6th Workshop on Representation Learning for NLP (RepL4NLP-2021), co-located with ACL 2021 in Bangkok, Thailand, invites papers of a theoretical or experimental nature describing recent advances in vector space models of meaning, compositionality, and the application of deep neural networks and spectral methods to NLP.

Deadline: April 26, 2021

The 6th Workshop on Representation Learning for NLP (RepL4NLP-2021), co-located with ACL 2021 in Bangkok, Thailand, invites papers of a theoretical or experimental nature describing recent advances in vector space models of meaning, compositionality, and the application of deep neural networks and spectral methods to NLP.

We encourage submissions in the following topics, including but not limited to: