Papers
3,164 papers found
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
Wanying Xie, Yang Feng, Shuhao Gu et al.
Improved English to Hindi Multimodal Neural Machine Translation
Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Darsh Kaushik et al.
Improved pronunciation prediction accuracy using morphology
Dravyansh Sharma, Saumya Sahai, Neha Chaudhari et al.
Improvements and Extensions on Metaphor Detection
Weicheng Ma, Ruibo Liu, Lili Wang et al.
Improving Arabic Diacritization with Regularized Decoding and Adversarial Training
Han Qin, Guimin Chen, Yuanhe Tian et al.
Improving Compositional Generalization in Classification Tasks via Structure Annotations
Juyong Kim, Pradeep Ravikumar, Joshua Ainslie et al.
Improving Counterfactual Generation for Fair Hate Speech Detection
Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy et al.
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting
Irene Li, Prithviraj Sen, Huaiyu Zhu et al.
Improving Dialog Systems for Negotiation with Personality Modeling
Runzhe Yang, Jingxiao Chen, Karthik Narasimhan
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
Hongyin Tang, Xingwu Sun, Beihong Jin et al.
Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation
Liang Li, Can Ma, Yinliang Yue et al.
Improving Factual Consistency of Abstractive Summarization on Customer Feedback
Yang Liu, Yifei Sun, Vincent Gao
Improving Factual Consistency of Abstractive Summarization via Question Answering
Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu et al.
Improving Formality Style Transfer with Context-Aware Rule Injection
Zonghai Yao, Hong Yu
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction
Gyubok Lee, Seongjun Yang, Edward Choi
Improving Model Generalization: A Chinese Named Entity Recognition Case Study
Guanqing Liang, Cane Wing-Ki Leung
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
Xinyu Wang, Yong Jiang, Nguyen Bach et al.
Improving Paraphrase Detection with the Adversarial Paraphrasing Task
Animesh Nighojkar, John Licato
Improving Policing with Natural Language Processing
Anthony Dixon, Daniel Birks
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
Zewen Chi, Li Dong, Bo Zheng et al.
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task
Yun Tang, Juan Pino, Xian Li et al.
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification
George Chrysostomou, Nikolaos Aletras
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation
Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa
Improving Zero-Shot Translation by Disentangling Positional Information
Danni Liu, Jan Niehues, James Cross et al.
IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task
Pavel Denisov, Manuel Mager, Ngoc Thang Vu