Spain

ECAI 2020

Mining Insights from Large-scale Corpora Using Fine-tuned Language Models

2019 indian election

opinion mining using bert

insight mining using bert

**Welcome to ACL-IJCNLP 2021!**

The great event is jointly organized by the Association for Computational Linguistics (ACL) and Asian Federation of Natural Language Processing (AFNLP). 

As in previous years, the program of the conference includes a poster session, tutorials, workshops and demonstrations in addition to the main conference.


We were able to keep the registration fees similar to those charged for the virtual ACL 2020. The one fee allows attendance at the main conference and any/all tutorials and workshops. These fees would be $125 Regular Early and $175 Regular Late; $50 Student Early and $75 Student Late. Early registration closes at midnight July 11, 2021 (Eastern Daylight Time).

**Reminder:** It is ACL’s policy that at least one author of each accepted paper (including ACL Finding papers) must register for the conference.

**Reminder2:** Underline site will open closer to the event. If you already registered you will receive access detail

Registration is now open

ACL-IJCNLP 2021

The great event is jointly organized by the Association for Computational Linguistics (ACL) and Asian Federation of Natural Language Processing (AFNLP).

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Branch Location Problems with Maximum Satisfiability

Simplifying Graph Attention Networks with Source-Target Separation

Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks

From Eigentrust to a Trust-measuring Algorithm in the Max-Plus Algebra

Robust Submodular Minimization with Applications to Cooperative Modeling

Minimizing and recovering from the effect of concept drift via feature selection

A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification

Dual Rejection Sampling for Wasserstein Auto-Encoders

Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion

Feature importance estimation with self-attention networks

https://d3smihljt9218e.cloudfront.net/transcript/1151/subtitle/965e4bf3af90de8b736cc55935ccc42c.vtt

English (automatic)

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Branch Location Problems with Maximum Satisfiability

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Branch Location Problems with Maximum Satisfiability

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