Getting computers to talk like you and me
Getting computers to talk like you and me
Attention, intentions, and the structure of discourse
Computational Linguistics
Computational Linguistics - Special issue on tense and aspect
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
C4.5: programs for machine learning
C4.5: programs for machine learning
A problem for RST: the need for multi-level discourse analysis
Computational Linguistics
Classifying cue phrases in text and speech using machine learning
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Limited attention and discourse structure
Computational Linguistics
Plan Recognition in Natural Language Dialogue
Plan Recognition in Natural Language Dialogue
TextTiling: A Quantitative Approach to Discourse
TextTiling: A Quantitative Approach to Discourse
The representation and use of focus in dialogue understanding.
The representation and use of focus in dialogue understanding.
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Empirical studies on the disambiguation of cue phrases
Computational Linguistics
Planning text for advisory dialogues: capturing intentional and rhetorical information
Computational Linguistics
A computational theory of the function of clue words in argument understanding
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
The intonational structuring of discourse
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Deterministic parsing of syntactic non-fluencies
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Intention-based segmentation: human reliability and correlation with linguistic cues
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Text segmentation based on similarity between words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Combining multiple knowledge sources for discourse segmentation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Evaluating automated and manual acquisition of anaphora resolution strategies
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Investigating cue selection and placement in tutorial discourse
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
An automatic method of finding topic boundaries
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Mixed initiative in dialogue: an investigation into discourse segmentation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
A prosodic analysis of discourse segments in direction-giving monologues
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Tense trees as the "fine structure" of discourse
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Estimating upper and lower bounds on the performance of word-sense disambiguation programs
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Cues and control in expert-client dialogues
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Cue phrase classification using machine learning
Journal of Artificial Intelligence Research
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
IEEE Intelligent Systems
An evaluation method of words tendency depending on time-series variation and its improvements
Information Processing and Management: an International Journal
Automatic summarization of open-domain multiparty dialogues in diverse genres
Computational Linguistics - Summarization
The disambiguation of nominalizations
Computational Linguistics
Segmenting Conversations by Topic, Initiative, and Style
Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].
The Role of Pause Occurrence and Pause Duration in the Signaling of Narrative Structure
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Integrating prosodic and lexical cues for automatic topic segmentation
Computational Linguistics
Evaluation of text coherence for electronic essay scoring systems
Natural Language Engineering
A bootstrapping approach for robust topic analysis
Natural Language Engineering
Resolving discourse deictic anaphora in dialogues
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
PARADISE: a framework for evaluating spoken dialogue agents
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Using collocations for topic segmentation and link detection
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
An evaluation method of words tendency using decision tree
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
The role of centering theory's rough-shift in the teaching and evaluation of writing skills
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Reconciling initiative and discourse structure
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Bridging the gap between dialogue management and dialogue models
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
An orthonormal basis for topic segmentation in tutorial dialogue
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Arkose: reusing informal information from online discussions
Proceedings of the 2007 international ACM conference on Supporting group work
Inter-coder agreement for computational linguistics
Computational Linguistics
A Model of Discourse Segmentation and Segment Title Assignment for Lecture Speech Indexing
IEICE - Transactions on Information and Systems
Split and Merge Based Story Segmentation in News Videos
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Unsupervised methods of topical text segmentation for Polish
ACL '07 Proceedings of the Workshop on Balto-Slavonic Natural Language Processing: Information Extraction and Enabling Technologies
Switching to real-time tasks in multi-tasking dialogue
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Using a probabilistic model of discourse relations to investigate word order variation
DiscAnnotation '04 Proceedings of the 2004 ACL Workshop on Discourse Annotation
Computer-based support for patients with limited English
EAMT '03 Proceedings of the 7th International EAMT workshop on MT and other Language Technology Tools, Improving MT through other Language Technology Tools: Resources and Tools for Building MT
Story segmentation of brodcast news in English, Mandarin and Arabic
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Cue phrase classification using machine learning
Journal of Artificial Intelligence Research
ISDS '97 Interactive Spoken Dialog Systems on Bringing Speech and NLP Together in Real Applications
An analysis of quantitative aspects in the evaluation of thematic segmentation algorithms
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
A syntactic and lexical-based discourse segmenter
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Participant subjectivity and involvement as a basis for discourse segmentation
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
A study on the reliability of two discourse segmentation models
PROPOR'03 Proceedings of the 6th international conference on Computational processing of the Portuguese language
Retrospective analysis of cross-culture communication
Proceedings of the 3rd international conference on Intercultural collaboration
Evaluating hierarchical discourse segmentation
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Automatic identification of discourse markers in dialogues: An in-depth study of like and well
Computer Speech and Language
An investigation of interruptions and resumptions in multi-tasking dialogues
Computational Linguistics
ACM Transactions on Speech and Language Processing (TSLP)
TV news story segmentation based on semantic coherence and content similarity
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Contextual correlation based thread detection in short text message streams
Journal of Intelligent Information Systems
Automated detection of local coherence in short argumentative essays based on centering theory
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Topical segmentation: a study of human performance and a new measure of quality
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Two-part segmentation of text documents
Proceedings of the 21st ACM international conference on Information and knowledge management
Expert Systems with Applications: An International Journal
Unsupervised text segmentation using LDA and MCMC
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Topic segmentation and labeling in asynchronous conversations
Journal of Artificial Intelligence Research
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The need to model the relation between discourse structure and linguistic features of utterances is almost universally acknowledged in the literature on discourse. However, there is only weak consensus on what the units of discourse structure are, or the criteria for recognizing and generating them. We present quantitative results of a two-part study using a corpus of spontaneous, narrative monologues. The first part of our paper presents a method for empirically validating multitutterance units referred to as discourse segments. We report highly significant results of segmentations performed by naive subjects, where a commonsense notion of speaker intention is the segmentation criterion. In the second part of our study, data abstracted from the subjects' segmentations serve as a target for evaluating two sets of algorithms that use utterance features to perform segmentation. On the first algorithm set, we evaluate and compare the correlation of discourse segmentation with three types of linguistic cues (referential noun phrases, cue words, and pauses). We then develop a second set using two methods: error analysis and machine learning. Testing the new algorithms on a new data set shows that when multiple sources of linguistic knowledge are used concurrently, algorithm performance improves.