Papers Abstractive Dialogue Summarization
“Abstractive Dialogue Summarization” 태그가 달린 논문 36편 · 필터 해제
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization
Abstractive dialogue summarization is the task of distilling conversations into informative and concise summaries. Although reviews have been conducted on this topic, there is a lack of comprehensive work detailing the c…
Abstractive Dialogue SummarizationAbstractive Text SummarizationSystematic Literature ReviewSTRUDEL: Structured Dialogue Summarization for Dialogue Comprehension
Abstractive dialogue summarization has long been viewed as an important standalone task in natural language processing, but no previous work has explored the possibility of whether abstractive dialogue summarization can …
Abstractive Dialogue SummarizationGraph Neural NetworkQuestion AnsweringHuman-in-the-loop Abstractive Dialogue Summarization
Abstractive dialogue summarization has received increasing attention recently. Despite the fact that most of the current dialogue summarization systems are trained to maximize the likelihood of human-written summaries an…
Abstractive Dialogue SummarizationTaxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions
Abstractive dialogue summarization is to generate a concise and fluent summary covering the salient information in a dialogue among two or more interlocutors. It has attracted great attention in recent years based on the…
Abstractive Dialogue SummarizationArticlesDocument SummarizationSummarizing Dialogues with Negative Cues
Abstractive dialogue summarization aims to convert a long dialogue content into its short form where the salient information is preserved while the redundant pieces are ignored. Different from the well-structured text, s…
Abstractive Dialogue SummarizationArticlesImproving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning
Pre-trained models have brought remarkable success on the text summarization task. For dialogue summarization, the subdomain of text summarization, utterances are concatenated to flat text before being processed. As a re…
Abstractive Dialogue SummarizationContrastive LearningText SummarizationMind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
In this paper, we propose to leverage the unique characteristics of dialogues sharing commonsense knowledge across participants, to resolve the difficulties in summarizing them. We present SICK, a framework that uses com…
Abstractive Dialogue SummarizationMulti-Task LearningText SummarizationEnhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization
Contextualized word embeddings can lead to state-of-the-art performances in natural language understanding. Recently, a pre-trained deep contextualized text encoder such as BERT has shown its potential in improving natur…
Abstractive Dialogue SummarizationAbstractive Text SummarizationArticlesDecoder+5Abstractive Meeting Summarization: A Survey
A system that could reliably identify and sum up the most important points of a conversation would be valuable in a wide variety of real-world contexts, from business meetings to medical consultations to customer service…
Abstractive Dialogue SummarizationAbstractive Text SummarizationDecoderMeeting Summarization+2Effectiveness of French Language Models on Abstractive Dialogue Summarization Task
Pre-trained language models have established the state-of-the-art on various natural language processing tasks, including dialogue summarization, which allows the reader to quickly access key information from long conver…
Abstractive Dialogue SummarizationUnsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion
We advance the state-of-the-art in unsupervised abstractive dialogue summarization by utilizing multi-sentence compression graphs. Starting from well-founded assumptions about word graphs, we present simple but reliable …
Abstractive Dialogue SummarizationRerankingSentenceSentence CompressionThe Cross-lingual Conversation Summarization Challenge
We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine transl…
Abstractive Dialogue SummarizationConversation SummarizationCross-Lingual Abstractive SummarizationMachine Translation+2Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
Annotating task-oriented dialogues is notorious for the expensive and difficult data collection process. Few-shot dialogue state tracking (DST) is a realistic solution to this problem. In this paper, we hypothesize that …
Abstractive Dialogue SummarizationDialogue State TrackingLanguage ModelingLanguage Modelling+1CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
Factual inconsistencies in generated summaries severely limit the practical applications of abstractive dialogue summarization. Although significant progress has been achieved by using pre-trained neural language models,…
Abstractive Dialogue SummarizationMeeting SummarizationCONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
Factual inconsistencies in generated summaries severely limit the practical applications of abstractive dialogue summarization. Although significant progress has been achieved by using pre-trained models, substantial amo…
Abstractive Dialogue SummarizationMeeting SummarizationText SummarizationImproving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning
Pre-trained models have brought remarkable success on the text summarization task. For dialogue summarization, the subdomain of text summarization, utterances are concatenated to flat text before being processed. As a re…
Abstractive Dialogue SummarizationContrastive LearningText SummarizationImproving Abstractive Dialogue Summarization with Hierarchical Pretraining and Topic Segment
With the increasing abundance of meeting transcripts, meeting summary has attracted more and more attention from researchers. The unsupervised pre-training method based on transformer structure combined with fine-tuning …
Abstractive Dialogue SummarizationArticlesDecoderText Summarization+1A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization
Although abstractive summarization models have achieved impressive results on document summarization tasks, their performance on dialogue modeling is much less satisfactory due to the crude and straight methods for dialo…
Abstractive Dialogue SummarizationAbstractive Text SummarizationDocument SummarizationGive the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization
Abstractive dialogue summarization suffers from a lots of factual errors, which are due to scattered salient elements in the multi-speaker information interaction process. In this work, we design a heterogeneous semantic…
Abstractive Dialogue SummarizationContrastive LearningSimple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization
Abstractive conversation summarization has received growing attention while most current state-of-the-art summarization models heavily rely on human-annotated summaries. To reduce the dependence on labeled summaries, in …
Abstractive Dialogue SummarizationConversation SummarizationData Augmentation