Spain

ECAI 2020

A Shared-Word Sensitive Sequence-to-Sequence Features Extractor for Sentences Matching

sequence-to-sequence framework

features extracting

sentences matching

[![](https://assets.underline.io/uploads/markdown_image/1/image/81a3c0317d24f663b49b996875024d45.png)](https://aclanthology.org/volumes/2022.coling-1/)



### THE CONFERENCE WE KNOW AND WE WANT.
**COLING**, the International Conference on Computational Linguistics, is one of the premier conferences for the natural language processing and computational linguistics.

First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes but also in industrial research departments including tech-startups. COLING provides opportunities for all these communities to showcase their exciting discovery.

In fall of 2022, COLING will be held in Gyeongju in a hybrid format. All participants can either present at the venue site or join virtually. As more people get vaccinated, we are happy to provide safer environments for our colleagues. We believe that COLING 2022 will be one of the conferences, free from the pandemic. The hybrid format gives presenters and sponsors a valuable opportunity to promote their companies in both an online and in-person venue. For the first time in a long time, customers can interact with their sponsor's products first-hand. The online venue, too, gives sponsors the chance to network with those unable to attend the in-person session.

The hybrid format ultimately lends itself to greater exposure for our sponsors: COLING2022 will let you reach more potential partners and customers than ever before!<br><br><br>

To gain access to this event page you are required to register.<br> Find more information and pay the registration fee on event the organizer’s website **[https://coling2022.org/reg](https://coling2022.org/reg)**

COLING 2022

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for the natural language processing and 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.

A Convergent Off-Policy Temporal Difference Algorithm

BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph

Personalized Automated Machine Learning

Towards Inconsistency Measurement for Business Rule Bases

RoI Feature Propagation for Video Object Detection

An experimental study on the behaviour of Fuzzy Quantification Models

TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification

Strategic Monitor Placement against Malicious Flows

Verifying Strategic Abilities in Multi-agent Systems via First-order Entailment

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

https://d3smihljt9218e.cloudfront.net/transcript/1091/subtitle/4b5b04260df2323d74b78bc5b149b2e6.vtt

English (automatic)

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A Convergent Off-Policy Temporal Difference Algorithm

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Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach

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Next from ECAI 2020

A Convergent Off-Policy Temporal Difference Algorithm

Similar lecture

Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach

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