Spain

ECAI 2020

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains

sentiment analysis and argument mining

transfer/adaptation/multi-task learning

text classification

**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.

Mean field theory for deep dropout networks

Adaptive Interaction Fusion Networks for Fake News Detection

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network

Bidding in Spades

Adversarial Domain Adaptation Being Aware of Class Relationships

A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage

A Graph-based Measurement for Text Imbalance Classiﬁcation

MobiSenseUs - Inferring Objective and Subjective Well-Being from Mobile Data

Matching Questions and Answers in Dialogues from Online Forums

Sequence Prediction Model for Aspect-level Sentiment Classification

https://d3smihljt9218e.cloudfront.net/transcript/955/subtitle/9b02b6a1059bc85597d4fc7180e0a9d2.vtt

English (automatic)

Downloads

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Mean field theory for deep dropout networks

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Mean field theory for deep dropout networks

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