Spain

ECAI 2020

A unified and unsupervised framework for bilingual phrase alignment on specialized comparable corpora

phrase representation

bilingual word embedding

unsupervised learning

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

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.

Capturing Word Order in Averaging Based Sentence Embeddings

Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation

Fine-grained Text Sentiment Transfer via Dependency Parsing

Embedding the Trust Degrees of Agents in Abstract Argumentation

Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning

On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data

Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging

Ludii - The Ludemic General Game System

Property Invariant Embedding for Automated Reasoning

An ideal team is more than a team of ideal agents

https://d3smihljt9218e.cloudfront.net/transcript/1103/subtitle/60dc6a5ba4d8a7d8d5376e535ae0820d.vtt

English (automatic)

A unified and unsupervised framework for bilingual phrase alignment on specialized comparable corpora

Downloads

Next from ECAI 2020

Capturing Word Order in Averaging Based Sentence Embeddings

Similar lecture

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

A unified and unsupervised framework for bilingual phrase alignment on specialized comparable corpora

.css-70qvj9{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}Downloads

Next from ECAI 2020

Capturing Word Order in Averaging Based Sentence Embeddings

Similar lecture

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Downloads