Coreference-aware dialogue summarization
WebDialogue and Meeting Summarization: Taking Stock and Looking Ahead, Moving Towards Automatic Minuting Ani Nenkova Adobe Research, United States Ani Nenkova is a Principal Scientist at Adobe Research, leading the Document Intelligence Lab at Adobe-Maryland. WebMay 26, 2024 · Role-oriented dialogue summarization is to generate summaries for different roles in the dialogue, e.g., merchants and consumers. Existing methods handle this task by summarizing each role’s content separately and thus are prone to ignore the information from other roles.
Coreference-aware dialogue summarization
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WebJun 16, 2024 · A controllable neural generation framework that can flexibly guide dialogue summarization with personal named entity planning and generates fluent and factually … WebDec 1, 2024 · Coreference-informed Transformer-a parameter-free method with strategic head probing, selection and manipulation. Their state-of-the-art approach of using …
WebCoreference-Aware Dialogue Summarization SIGDIAL (ACL) 2024 · Zhengyuan Liu , Ke Shi , Nancy F. Chen · Edit social preview Summarizing conversations via neural … WebSep 27, 2024 · This survey provides a comprehensive investigation on existing work for abstractive dialogue summarization from scenarios, approaches to evaluations and presents a taxonomy of existing techniques in three directions, namely, injecting dialogue features, designing auxiliary training tasks and using additional data. Highly Influenced PDF
WebOct 21, 2024 · Dialogue summarization is abstractive in nature, making it suffer from factual errors. The factual correctness of summaries has the highest priority before practical applications. Many efforts have been made to improve faithfulness in text summarization. However, there is a lack of systematic study on dialogue summarization systems. WebJan 1, 2024 · We use the human annotation of SAMSum summaries in ConFiT (Tang et al., 2024) as our meta-evaluation dataset, where they generate summaries from six summarization models and collected...
WebTitle: Coreference-Aware Dialogue Summarization Authors: Zhengyuan Liu, Ke Shi, Nancy F. Chen Abstract summary: We investigate approaches to explicitly incorporate …
WebSep 23, 2024 · In this work, we approach dialogue summary length from three perspectives. First, we analyze the length differences between existing models' outputs and the corresponding human references and... texas tree service boerne txWebCoreference-Aware Dialogue Summarization SIGDIAL (ACL) 2024 · Zhengyuan Liu , Ke Shi , Nancy F. Chen · Edit social preview Summarizing conversations via neural approaches has been gaining research traction lately, yet it is … texas tree specialistsWebApr 7, 2024 · Coreference-Aware Dialogue Summarization - ACL Anthology Coreference-Aware Dialogue Summarization Abstract Summarizing conversations via … texas tree serviceWebTopic-aware pointer-generator networks for summarizing spoken conversations ... 2024 IEEE Automatic Speech Recognition and Understanding (ASRU), 814-821, 2024. 69: 2024: Coreference-Aware Dialogue Summarization. Z Liu, K Shi, NF Chen. In Proceedings of the SIGDIAL 2024, 509-519, 2024. 28: 2024: Controllable Neural Dialogue … swn wertstoffhofWebCoreference-Aware Dialogue Summarization Summarizing conversations via neural approaches has been gaining research traction lately, yet it is still challenging to obtain … texas tree speciesWebExperimental results show that the proposed approaches achieve state-of-the-art performance, implying it is useful to utilize coreference information in dialogue summarization. Evaluation results on factual correctness suggest such coreference-aware models are better at tracing the information flow among interlocutors and associating … swn yahoo interactive chartWebOct 21, 2024 · Dialogue summarization is abstractive in nature, making it suffer from factual errors. The factual correctness of summaries has the highest priority before … texas trees that don\u0027t lose their leaves