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ECAI 2020

Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings

document distance

word embeddings distance distribution

word mover's distance

## Welcome to NAACL 2022!
The Annual Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL) is taking place July 10-15, 2022 as a hybrid event, in Seattle, WA and online. We are happy to welcome all of you to conference! 
 
The main conference program features oral presentations, in-person and virtual posters and demo sessions, a plenary session for our best paper presentations and awards, keynote presentations, a plenary panel on the place of linguistics and symbolic structures in NLP, and an Industrial Track panel on Careers in NLP.
 
Posters (including Findings of NAACL 2022) and demos are grouped by areas for both the in-person and the virtual sessions. For the virtual component, the talks will be on Zoom and the posters and the demos will be in GatherTown. The Student Research Workshop and will have an oral session and a poster session.
 
The program also features 6 Tutorials and 26 Workshops.
 
 We wish you a wonderful conference!
 
[The NAACL 2022 Organizing Committee](https://2022.naacl.org/committees/organization/)

NAACL 2022

2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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.

Learning First-Order Symbolic Representations from the Structure of the State Space

Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives

Basic Utility Theory for Belief Functions

Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation

Mid-weight Image Super-Resolution with Bypass Connection Attention Network

Learning to Reuse Translations: Guiding Neural Machine Translation with Examples

Metric Learning for Ordered Labeled Trees with pq-grams

An Efficient Agreement Mechanism in CapsNets By Pairwise Product

Towards Efficient Discrete Integration via Adaptive Quantile Queries

Self-Attention-based Fully-Inception Networks for Continuous Sign Language Recognition

https://d3smihljt9218e.cloudfront.net/transcript/1050/subtitle/3f5c5874f7a420cb198a6906827fa643.vtt

English (automatic)

Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings

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Learning First-Order Symbolic Representations from the Structure of the State Space

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Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings

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Next from ECAI 2020

Learning First-Order Symbolic Representations from the Structure of the State Space

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Multilingual News Article Similarity Assessment based on Word- and Sentence Mover's Distance

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