Recent years have seen important advances in the quality of state-of-the-art models, but this has come at the expense of models becoming less interpretable. This survey presents an …
Recent research attention for relation extraction has been paid to the dialogue scenario, ie, dialoguelevel relation extraction (DiaRE). Existing DiaRE methods either simply …
Human–computer conversation has long been an interest of artificial intelligence and natural language processing research. Recent years have seen a dramatic improvement in …
We study the learning of a matching model for dialogue response selection. Motivated by the recent finding that models trained with random negative samples are not ideal in real-world …
J Lu, X Ren, Y Ren, A Liu, Z Xu - … of the 43rd International ACM SIGIR …, 2020 - dl.acm.org
As an important branch of current dialogue systems, retrieval-based chatbots leverage information retrieval to select proper predefined responses. Various promising architectures …
Response selection plays a vital role in building retrieval-based conversation systems. Despite that response selection is naturally a learning-to-rank problem, most prior works …
Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such …
We investigate response selection for multi-turn conversation in retrieval-based chatbots. Existing studies pay more attention to the matching between utterances and responses by …
C Zhang, C Luo, J Lu, A Liu, B Bai, K Bai… - Proceedings of the 43rd …, 2020 - dl.acm.org
Multi-Choice Reading Comprehension~(MCRC) is an essential task where a machine selects the correct answer from multiple choices given a context document and a …