7th – 11th November 2021
EMNLP (hybrid) event in Punta Cana, Dominican Republic.
Below are the NAVER and NAVER LABS Europe publications.
We are an EMNLP Silver supporter
7th – 11th November 2021
EMNLP (hybrid) event in Punta Cana, Dominican Republic.
Below are the NAVER and NAVER LABS Europe publications.
We are an EMNLP Silver supporter
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers (long paper)
Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Donghyun Kwak, Jeon Dong Hyeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, Suk Hyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woomyoung Park and Nako Sung
[PDF] [arXiv]
Efficient Inference for Multilingual Neural Machine Translation (long paper)
Alexandre Berard, Dain Lee, Stephane Clinchant, Kweonwoo Jung and Vassilina Nikoulina
[PDF][arXiv]
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters (long paper)
Ahmet Üstün, Alexandre Berard, Laurent Besacier and Matthias Gallé
[PDF][arXiv]
Cost-effective End-to-end Information Extraction for Semi-structured Document Images
Wonseok Hwang, Hyunji Lee, Jinyeong Yim, Geewook Kim and Minjoon Seo
[PDF] [arXiv]
Can Language Models be Biomedical Knowledge Bases?
Mujeen Sung, Jinhyuk Lee, Sean Yi, Minji Jeon, Sungdong Kim and Jaewoo Kang
[PDF] [arXiv]
Semantic Context Path Labeling for Semantic Exploration of User Reviews (demo)
Salah Aït-Mokhtar, Caroline Brun, Yves Hoppenot and Agnes Sandor
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee and Woomyoung Park
[PDF]
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang and Jin-Hwa Kim
[PDF] [arXiv]
Devil’s Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification
Hwiyeol Jo, Jaeseo Lim and Byoung-Tak Zhang
[PDF]
Modeling Mathematical Notation Semantics in Academic Papers
Hwiyeol Jo, Dongyeop Kang, Andrew Head and Marti A. Hearst
[PDF]
An Uncertainty-Aware Encoder for Aspect Detection
Thi-Nhung Nguyen, Kiem-Hieu Nguyen, Young-In Song and Tuan-Dung Cao
[PDF]
Visualizing Cross‑lingual Discourse Relations in Multilingual TED Corpora (demo paper)
Zae Myung Kim, Vassilina Nikoulina, Dongyeop Kang, Didier Schwab and Laurent Besacier
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters
Asa Cooper Stickland, Alexandre Berard and Vassilina Nikoulina
[arXiv]
Continual Learning in Multilingual NMT via Language-Specific Embeddings
Alexandre Berard
[arXiv]
Findings of the WMT Shared Task on Machine Translation Using Terminologies
Md Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos, Laurent Besacier, Georgiana Dinu, Marcello Federico, Matthias Gallé, Kweonwoo Jung, Philipp Koehn and Vassilina Nikoulina
[PDF]
1. Difference in female/male salary: 33/40 points
2. Difference in salary increases female/male: 35/35 points
3. Salary increases upon return from maternity leave: uncalculable
4. Number of employees in under-represented gender in 10 highest salaries: 0/10 points
NAVER France targets (with respect to the 2022 index) are as follows:
En 2022, NAVER France a obtenu les notes suivantes pour chacun des indicateurs :
1. Les écarts de salaire entre les femmes et les hommes: 33 sur 40 points
2. Les écarts des augmentations individuelles entre les femmes et les hommes : 35 sur 35 points
3. Toutes les salariées augmentées revenant de congé maternité : non calculable
4. Le nombre de salarié du sexe sous-représenté parmi les 10 plus hautes rémunérations : 0 sur 10 points
Les objectifs de progression pour l’index 2022 de NAVER France sont :
NAVER LABS Europe 6-8 chemin de Maupertuis 38240 Meylan France Contact
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