Notes:
The term “Dialog Summarizer” could generally refer to a natural language processing (NLP) system or software that summarizes spoken or written dialogs. This type of system is designed to process and analyze the content of a conversation or dialogue, and then extract key points or salient information, to create a summary of the main ideas discussed. Dialog summarizers can be used in a variety of applications, such as meeting transcription, call center recordings, or customer support chats, to help users quickly understand the main points of the conversation.
DiaSumm is a summarization system, which is aimed at summarizing spontaneous dialogues in unrestricted domains. The system uses a multi-stage architecture, and addresses specific issues related to summarizing spoken dialogues, such as disfluency detection and removal, sentence boundary detection, and topic segmentation. The system uses a novel computational approach that incorporates linguistic concepts of contrast and focus, to extract pragmatic and semantic salience from spontaneous speech. The system is compared to existing methods and technologies and is shown to be effective in creating accurate summaries of spoken conversations in the meeting domain, using human-generated transcripts as inputs, it is also capable to work with other forms of input.
Resources:
See also:
DIASUMM: Flexible summarization of spontaneous dialogues in unrestricted domains K Zechner, A Waibel – Proceedings of the 18th conference on …, 2000 – dl.acm.org Abstract In this paper, we present a summarization system for spontaneous dialogues which consists of a novel multi-stage architecture. It is specifically aimed at addressing issues related to the nature of the texts being spoken vs. written and being dialogical vs. … Cited by 40 Related articles All 28 versions Cite Save
Topic-Focused summarization of chat conversations A Sood, TP Mohamed, V Varma – Advances in Information Retrieval, 2013 – Springer … participant. This is a proven strong baseline for conversation summarization [2]. (2) DiaSumm: This system creates a summary by extracting an inter-connected structure of segments that quoted and responded to each other. (3 … Cited by 1 Related articles All 3 versions Cite Save
Summarization of spoken language-challenges, methods, and prospects K Zechner – Speech technology expert eZine, 2002 – Citeseer … Our own work (Zechner and Waibel, 2000a; Zechner, 2001) presented a summarization system (DIASUMM) for spoken dialogues in unrestricted domains for the first time. The DIASUMM system addresses the issues of disfluency … Cited by 29 Related articles All 7 versions Cite Save More
Meeting Summarization G Jingting – 2003 – dcs.shef.ac.uk … Information Extraction and Text Summarization; In Spoken Language Summarization, DIASUMM (Zechner, K. and Waibel, A. et al. … speech summarization, especially, DIASUMM (Zechner, K. and Waibel, A. et al. (2000)), a system for summarization of spoken language. … Related articles Cite Save More
Summarizing Online Conversations: A Machine Learning Approach A Sood, TP Mohamed, V Varma – 2012 – web2py.iiit.ac.in … (4) DiaSumm: This system creates summary by extracting inter-connected structure of segments that quoted and responded to each other. … There 11Only FirstSent and DiaSumm are shown, as they performed better than HAL and MaxLength for BC3 corpus Page 8. … Related articles Cite Save More
Correction of disfluencies in spontaneous speech using a noisy-channel approach. M Honal, T Schultz – INTERSPEECH, 2003 – pdf.aminer.org … In the Verbmobil corpus disfluencies are partly annotated manually by human transcribers following the transcription conventions in [Burger, 1997] and partly annotated automatically using the DiaSumm-System proposed in [Zechner, 2001]. … Cited by 31 Related articles All 24 versions Cite Save More
Improving extractive dialogue summarization by utilizing human feedback. M Mieskes, C Müller, M Strube – Artificial Intelligence and …, 2007 – actapress.com … users. Finally, DiaSumm [9] is closest to our system, be- cause it can be applied not only to texts but can also sum- marize dialogues and meetings. … recordings. DiaSumm provides summaries for a quick overview over the meeting. … Cited by 7 Related articles All 13 versions Cite Save
Automatic summarization of open-domain multiparty dialogues in diverse genres K Zechner – Computational Linguistics, 2002 – MIT Press … maximum marginal relevance, or MMR) as the main baseline for comparative evaluations, and then add a set of components addressing issues specific to spoken dialogues to this MMR module to create our spoken dialogue summarization system, which we call DIASUMM. … Cited by 92 Related articles All 23 versions Cite Save
Speech Summarisation S Newar – 2002 – dcs.shef.ac.uk … The techniques and algorithms used to clean up data such as “Clean-up Filter” are discussed later in this section, when discussing the DIASUMM tool. … Also, DIASUMM, an existing system for speech summarization, and its working are discussed later in the report. … Cited by 1 Related articles Cite Save More
Scalable summaries of spoken conversations S Basu, S Gupta, M Mahajan, P Nguyen… – Proceedings of the 13th …, 2008 – dl.acm.org … than news. The closest work we are aware of to ours is the DiaSumm system [18], which creates static (fixed scale) summaries of spoken conversations in the meeting domain, using human-generated transcripts. The system … Cited by 6 Related articles All 7 versions Cite Save
Hybrid discourse modeling and summarization for a speech-to-speech translation system J Alexandersson – 2007 – scidok.sulb.uni-saarland.de … 137 4.4 The pipeline architecture of DiaSumm. . . . . … 165 4.4 Evaluation of the complete system performance of DiaSumm. 170 4.5 Modified version of the Category Task Contingency Table. … Cited by 10 Related articles Cite Save
Automatic Summarization of Meeting Data: A Feasibility Study. AH Buist, W Kraaij, S Raaijmakers – CLIN, 2004 – mediaminer.ict.tno.nl … Some groundbreaking work has been done by Klaus Zech- ner and Alex Waibel, who created a dialogue summarizer DiaSumm(Zechner and Waibel 2000), which features include turn-linking, topic segmentation and infor- mation condensation. … Cited by 24 Related articles All 3 versions Cite Save More
Automatic summarization of spoken dialogues in unrestricted domains K Zechner – 2001 – isl.anthropomatik.kit.edu … first and foremost Michael Bett, who implemented the Meeting Browser, and with whom I closely collaborated in the integration of my DIASUMM system in this multi-media and multi-modal tool. … more informal genres (CallHome and Group Meetings), DiaSumm significantly out- … Cited by 40 Related articles All 11 versions Cite Save More
Advances in automatic meeting record creation and access A Waibel, M Bett, F Metze, K Ries… – … , Speech, and Signal …, 2001 – ieeexplore.ieee.org … of the CMC, 1998. [22] Klaus Zechner and Alex Waibel, “DIASUMM: Flexible summarization of spontaneous dialogues in unrestricted do- mains,” in Proceedings of COLING, Saarbriicken, Germany, 2000. [23] Linguistic Data … Cited by 149 Related articles All 33 versions Cite Save
Domain Adaptation for Summarizing Conversations O Sandu – 2011 – circle.ubc.ca Page 1. Domain Adaptation for Summarizing Conversations by Oana Sandu B. Science, McGill University, 2008 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science in … Cited by 2 Related articles All 3 versions Cite Save
Towards summarization of written text conversations A Sood – International Institute of Information Technology, India, 2013 – web2py.iiit.ac.in Page 1. Towards Summarization of Written Text Conversations Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science (by Research) in Computer Science and Engineering by Arpit Sood 200802006 arpit.sood@research.iiit.ac.in … Cited by 2 Cite Save More
The ISL meeting room system T Schultz, A Waibel, M Bett, F Metze… – Proceedings of the …, 2001 – isl.anthropomatik.kit.edu … of the CMC, 1998. [19] Klaus Zechner and Alex Waibel, “DIASUMM: Flexible summarization of spontaneous dialogues in unrestricted do- mains,” in Proceedings of COLING, Saarbrücken, Germany, 2000. [20] Eric Brill, “Some … Cited by 45 Related articles All 27 versions Cite Save More
Unsupervised Techniques for Audio Content Analysis and Summarization W Lei – 2008 – ntu.edu.sg … Also us- ing utterance extraction techniques, Zechner [24] proposed an automatic summarization system called DIASUMM to summarize open-domain spoken dialogues. The system use dialogue transcription as input and identify important utterances by detecting and re- … Cited by 1 Related articles All 4 versions Cite Save More
In Search Of A Better Bet MM Bouamrane, S Luz – scss.tcd.ie … Tasks employed in usability test- ing have included using the browser for identifying the topic of a conversation (DiaSumm) (Zechner and Waibel, 2000), classifying media items into prede- fined categories (Meeting Browser) (Waibel et al., 1998), answering specific questions … Related articles All 5 versions Cite Save More
Content-based access to spoken audio K Koumpis, S Renals – Signal Processing Magazine, IEEE, 2005 – ieeexplore.ieee.org … and more ambiguity. The DiaSumm system [32] has addressed some dialog-specific issues of summarization such as disfluency detection and removal, sentence boundary detection, and topic segmentation. Efforts are also … Cited by 43 Related articles All 16 versions Cite Save
Speech and video processing for homeland security M Maybury – Wiley Handbook of Science and Technology for …, 2009 – Wiley Online Library … Prentice-Hall, Upper Saddle River, NJ. 4. Zechner, K., and Waibel, A. (2000). DiaSumm: flexible summarization of spontaneous dia- logues in unrestricted domains. Proceedings of the 18th Conference on Computational Linguis- tics, Saarbrücken, Germany, pp. 968–974. … Cited by 1 Related articles Cite Save
Automatic Segmentation of Multiparty Dialogue. PY Hsueh, JD Moore, S Renals – EACL, 2006 – acl.ldc.upenn.edu … pages 77– 80. Morgan Kaufman Publishers. Klaus Zechner and Alex Waibel. 2000. DIASUMM: Flexible summarization of spontaneous dialogues in unrestricted domains. In Proceedings of COLING- 2000, pages 968–974. 280 Cited by 36 Related articles All 14 versions Cite Save More
Combining multiple knowledge sources for dialogue segmentation in multimedia archives PY Hsueh, JD Moore – ANNUAL MEETING-ASSOCIATION FOR …, 2007 – acl.ldc.upenn.edu … 2001. Integrating prosodic and lexical cues for auto- matic topic segmentation. Computational Linguistics, 27(1):31–57. K. Zechner and A. Waibel. 2000. DIASUMM: Flexi- ble summarization of spontaneous dialogues in unre- stricted domains. In Proc. of COLING-2000. 1023 Cited by 19 Related articles All 22 versions Cite Save More
Meeting browsing MM Bouamrane, S Luz – Multimedia Systems, 2007 – Springer … and false starts. Page 6. 444 M.-M. Bouamrane, S. Luz DiaSumm [81] is a spoken language summarisation system comprising a number of stages. Audio record- ings can theoretically be used as an input. However, the results … Cited by 29 Related articles All 8 versions Cite Save
The role of disfluencies in topic classification of human-human conversations C Boulis, JG Kahn, M Ostendorf – AAAI Workshop on Spoken …, 2005 – icsi.berkeley.edu … Wang, Y. 1999. A robust parser for spoken language un- derstanding. In Proc. of Eurospeech. Zechner, K., and Waibel, A. 2000. DIASUMM: Flexi- ble summarization of spontaneous dialogues in unrestricted domains. In Proceedings of COLING, 968–974. Cited by 2 Related articles All 6 versions Cite Save More
The 18th International Conference on Computational Linguistics U des Saariandes – ucrel.lancs.ac.uk … 954 Menno van Zaanen ABL: Alignment-Based Learning 961 Klaus Zechner, Alex Waibel DiaSumm: Flexible Summarization of Spontaneous Dialogues in Unrestricted Domains 968 Qiang Zhou Local Context Templates for Chinese Constituent Boundary Prediction 975 … All 14 versions Cite Save More
Approaches to Text Summarization: Questions and Answers Laura Alonso, Irene Castell ion Dept. de Lingiuéistica General Universitat de Barcelona A Tibidabo, M Fuentes – Inteligencia Artificial, Revista Iberoamericana …, 2003 – ima.udg.edu Page 1. Approaches to Text Summarization: Questions and Answers Laura Alonso, Irene Castell ion Dept. de Lingiuéistica General Universitat de Barcelona Gran Via de les Corts Catalanes, 585 08007 Barcelona {lalonso,castel}@lingua.fil.ub.es … Related articles All 14 versions Cite Save More
Toward summarization of communicative activities in spoken conversation JJ Niekrasz – 2012 – era.lib.ed.ac.uk Page 1. This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (eg PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: • This work … Cited by 1 Related articles All 3 versions Cite Save
Increasing the coherence of spoken dialogue summaries by cross-speaker information linking K Zechner, A Lavie – Proceedings of the NAACL-01 Workshop on …, 2001 – Citeseer Page 1. Increasing the Coherence of Spoken Dialogue Summaries by Cross-Speaker Information Linking Klaus Zechner and Alon Lavie Language Technologies Institute Carnegie Mellon University 5000 Forbes Avenue Pittsburgh … Cited by 20 Related articles All 18 versions Cite Save More
Construction of membership functions for fuzzy time periods S Schockaert – Proceedings of the ESSLLI, 2005 – Citeseer Page 1. Construction of Membership Functions for Fuzzy Time Periods Steven Schockaert Department of Applied Mathematics and Computer Science Ghent University, Krijgslaan 281 (S9), B-9000 Gent, Belgium Steven.Schockaert@UGent.be Abstract. … Cited by 8 Related articles All 4 versions Cite Save More
Text summarisation in progress: a literature review E Lloret, M Palomar – Artificial Intelligence Review, 2012 – Springer … Inf Process Manag 44(4): 1600–1610 CrossRef; Zechner K, Waibel A (2000) DiaSumm: flexible summarization of spontaneous dialogues in unrestricted domains. In: Proceedings of the 18th conference on computational linguistics. … Cited by 17 Related articles All 5 versions Cite Save
Automatic generation of concise summaries of spoken dialogues in unrestricted domains K Zechner – Proceedings of the 24th annual international ACM …, 2001 – dl.acm.org Page 1. Automatic Generation of Concise Summaries of Spoken Dialogues in Unrestricted Domains Klaus Zechner Language Technologies Institute Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213, USA zechner@cs.cmu.edu … Cited by 65 Related articles All 20 versions Cite Save
Segmenting conversations by topic, initiative, and style K Ries – Information Retrieval Techniques for Speech …, 2002 – Springer Page 1. Segmenting Conversations by Topic, Initiative, and Style Klaus Ries? Interactive Systems Labs Carnegie Mellon University, Pittsburgh, PA, 15213, USA Universität Karlsruhe, Fakultät für Informatik, 76128 Karlsruhe,Germany ries@cs.cmu.edu Abstract. … Cited by 17 Related articles All 16 versions Cite Save
An information delivery system with automatic summarization for mobile commerce CC Yang, FL Wang – Decision support systems, 2007 – Elsevier Wireless access with handheld devices is a promising addition to the WWW and traditional electronic business. Handheld devices provide convenience and portable. Cited by 21 Related articles All 10 versions Cite Save
Generating automated meeting summaries T Kleinbauer – 2012 – scidok.sulb.uni-saarland.de Page 1. Generating Automated Meeting Summaries Dissertation zur Erlangung des Grades Doktor der Ingenieurswissenschaften (Dr.-Ing.) der Naturwissenschaftlich-Technischen Fakultät I der Universität des Saarlandes vorgelegt von Thomas Kleinbauer … Related articles All 2 versions Cite Save
Automatic abstracting D Marcu – Encyclopedia of Library and Information Science, 2003 – books.google.com Page 275. Automatic Abstracting Daniel Marcu University of Southern California, Marina del Rey, California, USA INTRODUCTION After lying dormant for a few decades, the field of automated text summarization has experienced a tremen- dous resurgence of interest. … Cited by 13 Related articles All 2 versions Cite Save
Automatic analysis of medical dialogue in the home hemodialysis domain: structure induction and summarization RC Lacson, R Barzilay, WJ Long – Journal of biomedical informatics, 2006 – Elsevier Spoken medical dialogue is a valuable source of information for patients and caregivers. This work presents a first step towards automatic analysis and summariz. Cited by 11 Related articles All 10 versions Cite Save
Information Delivery for Mobile Business: Architecture for Accessing Large CC Yang, FL Wang – Handbook of Research in Mobile Business: …, 2006 – books.google.com Page 289. 247 Chapter XVIII Information Delivery for Mobile Business: Architecture for Accessing Large Documents through Mobile Devices Christopher C. Yang Chinese University of Hong Kong, Hong, Kong Fu Lee Wang … Related articles Cite Save
Interaction-based Information Retrieval in Multimodal, Online, Artefact-Focused Meeting Recordings MM Bouamrane – 2007 – cs.tcd.ie Page 1. Interaction-based Information Retrieval in Multimodal, Online, Artefact-Focused Meeting Recordings Matt-Mouley Bouamrane A thesis submitted to the University of Dublin, Trinity College in fulfillment of the requirements for the degree of Doctor of Philosophy April 2007 … Cited by 1 Related articles All 6 versions Cite Save More
A Thematic Bibliography on Dialogue Processing A Popescu-Belis, A Clark, M Georgescul, M Starlander… – 2003 – issco.unige.ch ISSCO/TIM/ETI, Université de Genève. A Thematic Bibliography on Dialogue Processing. Andrei Popescu-Belis. Alexander Clark. Maria Georgescul. Marianne Starlander. Sandrine Zufferey. Report IM2.MDM-06 – June 2003. Plan of the report. 1. Introduction. 2. Reference formatting … Cited by 1 Related articles All 2 versions Cite Save More
Multi-Document Summarization Techniques for Generating Image Descriptions: A Comparative Analysis A Aker, L Plaza, E Lloret, R Gaizauskas – Multi-source, Multilingual …, 2013 – Springer Logo Springer. Search Menu. Search Options: … Related articles All 3 versions Cite Save
The history of IDF and its influences on IR and other fields D Harman – Charting a New Course: Natural Language Processing …, 2005 – Springer … In Proceedings of the ACL 2001 Workshop on Evaluation Methods for Language and Dialog Systems. Zechner, K. & Waibel, A. (2000). DIASUMM: flexible summarization of spontaneous dialogues in unrestricted domains. In Proceedings of COLING 2000, 968-974. … Cited by 6 Related articles All 4 versions Cite Save
Extraction of pragmatic and semantic salience from spontaneous spoken English T Zhang, M Hasegawa-Johnson, SE Levinson – Speech Communication, 2006 – Elsevier This paper computationalizes two linguistic concepts, contrast and focus, for the extraction of pragmatic and semantic salience from spontaneous speech. Contras. Cited by 17 Related articles All 8 versions Cite Save
Study of Human Gesture Recognition by Integrating Face and Hand Motion Features L Dan, HK Ekenel, J Ohya – i13pc106.anthropomatik.kit.edu Related articles All 7 versions Cite Save More
Automatic summarising: a review and discussion of the state of the art KS Jones – University of Cambridge, Computer Laboratory, …, 2007 – www-test.cl.cam.ac.uk Page 1. Technical Report Number 679 Computer Laboratory UCAM-CL-TR-679 ISSN 1476-2986 Automatic summarising: a review and discussion of the state of the art Karen Sp¨arck Jones January 2007 15 JJ Thomson Avenue … Cited by 2 Related articles All 6 versions Cite Save More
An Ecologically Valid Evaluation of Speech Summarization in the University Lecture Domain A McCallum – 2012 – cs.utoronto.ca Page 1. An Ecologically Valid Evaluation of Speech Summarization in the University Lecture Domain by Anthony McCallum A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Computer Science … Related articles All 2 versions Cite Save More
Automatic voicemail summarisation for mobile messaging K Koumpis – 2002 – host.quksdns12.net Page 1. Automatic Voicemail Summarisation for Mobile Messaging Konstantinos Koumpis A dissertation submitted for the degree of Doctor of Philosophy The University of Sheffield 2002 Page 2. Abstract One way to overcome … Cited by 5 Related articles All 3 versions Cite Save