Papers
3,164 papers found
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding
Shan Wu, Bo Chen, Chunlei Xin et al.
From Raw Text to Enhanced Universal Dependencies: The Parsing Shared Task at IWPT 2021
Gosse Bouma, Djamé Seddah, Daniel Zeman
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task
Yun Tang, Hongyu Gong, Xian Li et al.
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation
Adithya Renduchintala, Denise Diaz, Kenneth Heafield et al.
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
Meichun Jiao, Ziyang Luo
Gender Bias in Text: Origin, Taxonomy, and Implications
Jad Doughman, Wael Khreich, Maya El Gharib et al.
gENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena
Eva Vanmassenhove, Johanna Monti
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation
Giulio Zhou, Gerasimos Lampouras
Generating Gender Augmented Data for NLP
Nishtha Jain, Maja Popović, Declan Groves et al.
Generating Hypothetical Events for Abductive Inference
Debjit Paul, Anette Frank
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem
Raphael Schumann, Stefan Riezler
Generating Query Focused Summaries from Query-Free Resources
Yumo Xu, Mirella Lapata
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders
Bin Sun, Shaoxiong Feng, Yiwei Li et al.
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
Kundan Krishna, Sopan Khosla, Jeffrey Bigham et al.
Generation-Augmented Retrieval for Open-Domain Question Answering
Yuning Mao, Pengcheng He, Xiaodong Liu et al.
Generic Oracles for Structured Prediction
Christoph Teichmann, Antoine Venant
GHOST at SemEval-2021 Task 5: Is explanation all you need?
Kamil Pluciński, Hanna Klimczak
GhostBERT: Generate More Features with Cheap Operations for BERT
Zhiqi Huang, Lu Hou, Lifeng Shang et al.
Glancing Transformer for Non-Autoregressive Neural Machine Translation
Lihua Qian, Hao Zhou, Yu Bao et al.
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling
Libo Qin, Fuxuan Wei, Tianbao Xie et al.
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings
Maxim Rachinskiy, Nikolay Arefyev
GoldenWind at SemEval-2021 Task 5: Orthrus - An Ensemble Approach to Identify Toxicity
Marco Palomino, Dawid Grad, James Bedwell
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation
Zhiyong Wu, Lingpeng Kong, Wei Bi et al.
GOT: Testing for Originality in Natural Language Generation
Jennifer Brooks, Abdou Youssef