Papers
1,125 papers found
Referential Cohesion A Challenge for Machine Translation Evaluation
Christian Hardmeier
Resource Creation and Evaluation of Aspect Based Sentiment Analysis in Urdu
Sadaf Rani, Muhammad Waqas Anwar
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs
Haiyang Zhang, Alison Sneyd, Mark Stevenson
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor
Yudianto Sujana, Jiawen Li, Hung-Yu Kao
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training
Xinyu Wang, Kewei Tu
Self-Supervised Learning for Pairwise Data Refinement
Gustavo Hernandez Abrego, Bowen Liang, Wei Wang et al.
SEMA: Text Simplification Evaluation through Semantic Alignment
Xuan Zhang, Huizhou Zhao, KeXin Zhang et al.
SentiRec: Sentiment Diversity-aware Neural News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi et al.
SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation
Xutai Ma, Juan Pino, Philipp Koehn
Sina Mandarin Alphabetical Words:A Web-driven Code-mixing Lexical Resource
Rong Xiang, Mingyu Wan, Qi Su et al.
Social Media Medical Concept Normalization using RoBERTa in Ontology Enriched Text Similarity Framework
Katikapalli Subramanyam Kalyan, Sivanesan Sangeetha
Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model
Satoru Katsumata, Mamoru Komachi
Supervised Adaptation of Sequence-to-Sequence Speech Recognition Systems using Batch-Weighting
Christian Huber, Juan Hussain, Tuan-Nam Nguyen et al.
Systematically Exploring Redundancy Reduction in Summarizing Long Documents
Wen Xiao, Giuseppe Carenini
Systematic Generalization on gSCAN with Language Conditioned Embedding
Tong Gao, Qi Huang, Raymond Mooney
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation
Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi
Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity
Akifumi Nakamachi, Tomoyuki Kajiwara, Yuki Arase
The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task
Wandri Jooste, Rejwanul Haque, Andy Way
The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task
Prashanth Nayak, Rejwanul Haque, Andy Way
The University of Tokyo’s Submissions to the WAT 2020 Shared Task
Matīss Rikters, Toshiaki Nakazawa, Ryokan Ri
TMU Japanese-English Multimodal Machine Translation System for WAT 2020
Hiroto Tamura, Tosho Hirasawa, Masahiro Kaneko et al.
TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020
Hongfei Wang, Mamoru Komachi
Touch Editing: A Flexible One-Time Interaction Approach for Translation
Qian Wang, Jiajun Zhang, Lemao Liu et al.