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cs.CL2021
Findings on Conversation Disentanglement
Rongxin Zhu, Jey Han Lau, Jianzhong Qi
Conversation disentanglement, the task to identify separate threads in conversations, is an important pre-processing step in multi-party conversational NLP applications such as con…
cs.CL2021
Evaluating Document Coherence Modelling
Aili Shen, Meladel Mistica, Bahar Salehi +3
While pretrained language models ("LM") have driven impressive gains over morpho-syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is less clea…