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cs.CL2022
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
Yongkang Liu, Shi Feng, Daling Wang +2
We investigate response generation for multi-turn dialogue in generative-based chatbots. Existing generative models based on RNNs (Recurrent Neural Networks) usually employ the las…
cs.CL2022
Graph Neural Networks for Multiparallel Word Alignment
Ayyoob Imani, Lütfi Kerem Şenel, Masoud Jalili Sabet +2
After a period of decrease, interest in word alignments is increasing again for their usefulness in domains such as typological research, cross-lingual annotation projection, and m…