Papers
259 papers found
TTCB System Description to a Shared Task on Implicit and Underspecified Language 2021
Peratham Wiriyathammabhum
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021
Hideya Mino, Kazutaka Kinugawa, Hitoshi Ito et al.
Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021
Katsuki Chousa, Makoto Morishita
Rakuten’s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation
Raymond Hendy Susanto, Dongzhe Wang, Sunil Yadav et al.
TMU NMT System with Japanese BART for the Patent task of WAT 2021
Hwichan Kim, Mamoru Komachi
Bering Lab’s Submissions on WAT 2021 Shared Task
Heesoo Park, Dongjun Lee
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task
Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal
NICT-5’s Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages
Raj Dabre, Abhisek Chakrabarty
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages
Sourav Kumar, Salil Aggarwal, Dipti Sharma
Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task
Adam Dobrowolski, Marcin Szymański, Marcin Chochowski et al.
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT
Shivam Mhaskar, Aditya Jain, Aakash Banerjee et al.
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task
Pavanpankaj Vegi, Sivabhavani J, Biswajit Paul et al.
Team AINLPML @ MuP in SDP 2021: Scientific Document Summarization by End-to-End Extractive and Abstractive Approach
Sandeep Kumar, Guneet Singh Kohli, Kartik Shinde et al.
Findings of the VarDial Evaluation Campaign 2021
Bharathi Raja Chakravarthi, Mihaela Găman, Radu Tudor Ionescu et al.
N-gram and Neural Models for Uralic Language Identification: NRC at VarDial 2021
Gabriel Bernier-Colborne, Serge Leger, Cyril Goutte
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany et al.
Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task
Badr AlKhamissi, Mohamed Gabr, Muhammad ElNokrashy et al.
Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic
Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy
SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained Model
Dalya Faraj, Malak Abdullah
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories
Shabnam Tafreshi, Orphee De Clercq, Valentin Barriere et al.
PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction
Atharva Kulkarni, Sunanda Somwase, Shivam Rajput et al.
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction
Jay Mundra, Rohan Gupta, Sagnik Mukherjee
EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories
Giuseppe Vettigli, Antonio Sorgente
Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models
Yash Butala, Kanishk Singh, Adarsh Kumar et al.