Matches in SemOpenAlex for { <https://semopenalex.org/work/W3133965643> ?p ?o ?g. }
- W3133965643 abstract "Training machines to understand natural language and interact with humans is an elusive and essential task of artificial intelligence. A diversity of dialogue systems has been designed with the rapid development of deep learning techniques, especially the recent pre-trained language models (PrLMs). Among these studies, the fundamental yet challenging type of task is dialogue comprehension whose role is to teach the machines to read and comprehend the dialogue context before responding. In this paper, we review the previous methods from the technical perspective of dialogue modeling for the dialogue comprehension task. We summarize the characteristics and challenges of dialogue comprehension in contrast to plain-text reading comprehension. Then, we discuss three typical patterns of dialogue modeling. In addition, we categorize dialogue-related pre-training techniques which are employed to enhance PrLMs in dialogue scenarios. Finally, we highlight the technical advances in recent years and point out the lessons from the empirical analysis and the prospects towards a new frontier of researches." @default.
- W3133965643 created "2021-03-15" @default.
- W3133965643 creator A5036050911 @default.
- W3133965643 creator A5070962435 @default.
- W3133965643 date "2021-10-10" @default.
- W3133965643 modified "2023-09-26" @default.
- W3133965643 title "Advances in Multi-turn Dialogue Comprehension: A Survey" @default.
- W3133965643 cites W1898246925 @default.
- W3133965643 cites W2064675550 @default.
- W3133965643 cites W2101105183 @default.
- W3133965643 cites W2106918957 @default.
- W3133965643 cites W2145482038 @default.
- W3133965643 cites W2161466446 @default.
- W3133965643 cites W2197546379 @default.
- W3133965643 cites W2339852062 @default.
- W3133965643 cites W2561368124 @default.
- W3133965643 cites W2787560479 @default.
- W3133965643 cites W2788420618 @default.
- W3133965643 cites W2798456655 @default.
- W3133965643 cites W2822830299 @default.
- W3133965643 cites W2888302696 @default.
- W3133965643 cites W2891304738 @default.
- W3133965643 cites W2891416139 @default.
- W3133965643 cites W2896342318 @default.
- W3133965643 cites W2909151923 @default.
- W3133965643 cites W2911489562 @default.
- W3133965643 cites W2912904516 @default.
- W3133965643 cites W2912913215 @default.
- W3133965643 cites W2937845937 @default.
- W3133965643 cites W2944815030 @default.
- W3133965643 cites W2950729111 @default.
- W3133965643 cites W2951846787 @default.
- W3133965643 cites W2952813980 @default.
- W3133965643 cites W2962784628 @default.
- W3133965643 cites W2962854379 @default.
- W3133965643 cites W2962883855 @default.
- W3133965643 cites W2962989446 @default.
- W3133965643 cites W2963074876 @default.
- W3133965643 cites W2963341956 @default.
- W3133965643 cites W2963371754 @default.
- W3133965643 cites W2963522640 @default.
- W3133965643 cites W2963542836 @default.
- W3133965643 cites W2963544536 @default.
- W3133965643 cites W2963748441 @default.
- W3133965643 cites W2963825865 @default.
- W3133965643 cites W2964150246 @default.
- W3133965643 cites W2964223283 @default.
- W3133965643 cites W2964308564 @default.
- W3133965643 cites W2965373594 @default.
- W3133965643 cites W2970530566 @default.
- W3133965643 cites W2970597249 @default.
- W3133965643 cites W2970648534 @default.
- W3133965643 cites W2970771982 @default.
- W3133965643 cites W2979928633 @default.
- W3133965643 cites W2981852735 @default.
- W3133965643 cites W2988937804 @default.
- W3133965643 cites W2996035354 @default.
- W3133965643 cites W2996428491 @default.
- W3133965643 cites W2996876695 @default.
- W3133965643 cites W2997645422 @default.
- W3133965643 cites W3001393026 @default.
- W3133965643 cites W3004304303 @default.
- W3133965643 cites W3011752461 @default.
- W3133965643 cites W3014456322 @default.
- W3133965643 cites W3015322406 @default.
- W3133965643 cites W3024566755 @default.
- W3133965643 cites W3029217317 @default.
- W3133965643 cites W3034238904 @default.
- W3133965643 cites W3034446185 @default.
- W3133965643 cites W3034520363 @default.
- W3133965643 cites W3034724424 @default.
- W3133965643 cites W3034975599 @default.
- W3133965643 cites W3035301094 @default.
- W3133965643 cites W3083814290 @default.
- W3133965643 cites W3083978629 @default.
- W3133965643 cites W3094612274 @default.
- W3133965643 cites W3097517997 @default.
- W3133965643 cites W3098379431 @default.
- W3133965643 cites W3099700870 @default.
- W3133965643 cites W3099728037 @default.
- W3133965643 cites W3100353332 @default.
- W3133965643 cites W3100825476 @default.
- W3133965643 cites W3102009955 @default.
- W3133965643 cites W3103733040 @default.
- W3133965643 cites W3105451204 @default.
- W3133965643 cites W3109558947 @default.
- W3133965643 cites W3111436535 @default.
- W3133965643 cites W3114142294 @default.
- W3133965643 cites W3115149992 @default.
- W3133965643 cites W3115744929 @default.
- W3133965643 cites W3115777319 @default.
- W3133965643 cites W3119139426 @default.
- W3133965643 cites W3126278993 @default.
- W3133965643 cites W3133407825 @default.
- W3133965643 cites W3145566694 @default.
- W3133965643 cites W3147756855 @default.
- W3133965643 cites W3155807546 @default.
- W3133965643 cites W3157376010 @default.
- W3133965643 cites W3167002470 @default.
- W3133965643 cites W3174286109 @default.