Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval

Xiaodong Liu, Jianfeng Gao, Xiaodong He, +3

EngineeringMachine LearningLanguage ProcessingText MiningRepresentation Learning +19

DyNet: The Dynamic Neural Network Toolkit

Graham Neubig, Chris Dyer, Yoav Goldberg, +22

arXiv (Cornell University)

Dynamic Declaration ToolkitEngineeringMachine LearningAdvanced ComputingComputer Architecture +15

Automatic Evaluation of Translation Quality for Distant Language Pairs

Hideki Isozaki, Tsutomu Hirao, Kevin Duh, +2

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Sheng Zhang, Xiaodong Liu, Jianfeng Gao, +2

arXiv (Cornell University)

Artificial IntelligenceEngineeringPsycholinguisticsLanguage LearningApplied Linguistics +17

Stochastic Answer Networks for Machine Reading Comprehension

Xiaodong Liu, Yelong Shen, Kevin Duh, +1

Artificial IntelligenceEngineeringMachine LearningLarge Language ModelNatural Language Processing +15

ESPnet-ST: All-in-One Speech Translation Toolkit

Hirofumi Inaguma, Shun Kiyono, Kevin Duh, +4

EngineeringSemanticsSystem DemonstrationsCorpus LinguisticsSpeech Recognition +19

Ordinal Common-sense Inference

Sheng Zhang, Rachel Rudinger, Kevin Duh, +1

Transactions of the Association for Computational Linguistics

EngineeringEntailment (Linguistics)Textual EntailmentHigher-order LogicSemantics +18

Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation

Brian J. Thompson, Jeremy Gwinnup, Huda Khayrallah, +2

Artificial IntelligenceLlm Fine-tuningEngineeringMachine LearningPo Tagging +22

Curriculum Learning for Domain Adaptation in Neural Machine Translation

Xuan Zhang, Pamela Shapiro, Gaurav Kumar, +3

Llm Fine-tuningEngineeringMachine LearningNatural Language ProcessingApplied Linguistics +14

Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation

Kevin Duh, Graham Neubig, Katsuhito Sudoh, +1