@article{LevinMoore1977,
	Author = {James A. Levin and James A. Moore},
	Date-Added = {2014-02-28 11:01:22 +0000},
	Date-Modified = {2014-02-28 11:03:41 +0000},
	Journal = {Cognitive Science},
	Number = {4},
	Pages = {395-420},
	Title = {Dialogue-Games: Metacommunication Structures for Natural Language Interaction},
	Volume = {1},
	Year = {1977}}

@phdthesis{Carlson1982,
	Author = {Carlson, Lauri Henrik},
	Date-Added = {2014-02-28 10:01:37 +0000},
	Date-Modified = {2014-02-28 10:04:32 +0000},
	Keywords = {dialogue games, discourse analysis},
	School = {Massachusetts Institute of Technology},
	Title = {Dialogue games: An approach to discourse analysis},
	Year = {1982}}

@incollection{Allwood2000,
	Author = {Jens Allwood},
	Title = {An activity based approach to pragmatics},
	Editor = {Harry C. Bunt \& William Black},
	Owner = {ellen},
	Pages = {47-78},
	Publisher = {John Benjamins},
	Timestamp = {2010.03.13},
	Booktitle = {Abduction, belief, and context in dialogue: studies in computational pragmatics},
	Address= {Amsterdam},
	Year = {2000}}

@book{Linell2009,
	Author = {Per Linell},
	Owner = {ellen},
	Publisher = {Information Age Publishing},
	Series = {Advances in Cultural Psychology: Constructing Human Development},
	Timestamp = {2011.03.22},
	Title = {Rethinking Language, Mind, and World Dialogically: Interactional and Contextual Theories of Human Sense-Making},
	Year = {2009}}

 @article{baker2007organizational,
  title={Organizational communication},
  author={Baker, Kathryn A},
  journal={Management Benchmark Study},
  volume={1},
  number={1},
  pages={1--3},
  year={2007}
}

@article{brown1994effect,
  title={The effect of organizational culture on communication and information},
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  journal={Journal of Management studies},
  volume={31},
  number={6},
  pages={807--828},
  year={1994},
  publisher={Wiley Online Library}}

  @article{yates1992genres,
  title={Genres of organizational communication: A structurational approach to studying communication and media},
  author={Yates, JoAnne and Orlikowski, Wanda J},
  journal={Academy of management review},
  volume={17},
  number={2},
  pages={299--326},
  year={1992},
  publisher={Academy of Management Briarcliff Manor, NY 10510}
}

@article{malcolm1954wittgenstein,
  title={Wittgenstein's Philosophical investigations},
  author={Malcolm, Norman},
  journal={The Philosophical Review},
  volume={63},
  number={4},
  pages={530--559},
  year={1954},
  publisher={JSTOR}
}

@misc{ginzburg2016semantics,
  title={The semantics of dialogue},
  author={Ginzburg, Jonathan},
  year={2016}
}

@article{Lewis1979,
	Author = {David Lewis},
	Date-Added = {2013-06-29 08:12:34 +0000},
	Date-Modified = {2013-06-29 08:20:02 +0000},
	Journal = {Journal of Philosophical Logic},
	Keywords = {Accommodation presupposition},
	Number = {1},
	Pages = {339-359},
	Title = {Scorekeeping in a language game},
	Volume = {8},
	Year = {1979}}

 
@Book{Ginzburg12,
  Title                    = {The interactive stance: Meaning for conversation},
  Author                   = {Ginzburg, Jonathan},
  Publisher                = {Oxford University Press},
  address={Oxford},
  Year                     = {2012}
}

@article{Howes.Eshghi_JLLI_2021,
author = "Christine Howes and Arash Eshghi",
journal = "Journal of Logic, Language and Information",
number = "2",
pages = "331--362",
title = "{F}eedback relevance spaces: {I}nteractional constraints on processing contexts in {D}ynamic {S}yntax",
url = "https://link.springer.com/article/10.1007/s10849-020-09328-1",
volume = "30",
year = "2021",
}

@Book{Kempson.etal01,
  title     = {Dynamic Syntax: The Flow of Language Understanding},
  publisher = {Blackwell},
  address={Oxford},
  year      = {2001},
  author    = {Kempson, Ruth and Meyer-Viol, Wilfried and Gabbay, Dov},
}

@Book{Cann.etal05a,
  title     = {The Dynamics of Language},
  publisher = {Elsevier},
  year      = {2005},
  author    = {Cann, Ronnie and Kempson, Ruth and Marten, Lutz},
  address   = {Oxford},
}

@book{Cooper2022,
	Author = {Robin Cooper},
	Title = {Type theory and language - From perception to linguistic communication},
	Year = {2023},
	publisher={Oxford University Press},
	address={Oxford, UK},
}

@Article{Cooper05,
  Title                    = {Records and Record Types in Semantic Theory},
  Author                   = {Cooper, Robin},
  Journal                  = {Journal of Logic and Computation},
  Year                     = {2005},
  Number                   = {2},
  Pages                    = {99--112},
  Volume                   = {15}
}

@InCollection{Cooper2012,
  author    = {Robin Cooper},
  title     = {Type Theory and Semantics in Flux},
  year      = {2012},
  pages     = {271--323},
  crossref  = {KempsonAsherFernando2012},
  timestamp = {2012.02.06},
}

@InProceedings{Cooper2014a,
  author    = {Cooper, Robin},
  title     = {How to do things with types},
  year      = {2014},
  pages     = {149--158},
  crossref  = {PaivaNeuperQuaresmaRetoreMossSaludes2014},
  timestamp = {2014.11.03},
}

@incollection{CooperGinzburg2015,
	Author = {Cooper, Robin and Ginzburg, Jonathan},
	Booktitle = {The Handbook of Contemporary Semantic Theory},
	Date-Added = {2016-09-13 08:44:08 +0000},
	Date-Modified = {2016-09-13 08:45:57 +0000},
	Editor = {Shalom Lappin and Chris Fox},
	Pages = {375--407},
	Publisher = {Wiley Blackwell},
	Address = {Oxford},
	Title = {Type theory with records for natural language semantics},
	Year = {2015}}

 @inproceedings{Lucking2016,
  title={Modeling co-verbal gesture perception in type theory with records},
  author={L{\"u}cking, Andy},
  booktitle={2016 Federated Conference on Computer Science and Information Systems (FedCSIS)},
  pages={383--392},
  year={2016},
  organization={IEEE}
}

@article{LarssonTraum2000,
	Author = {Staffan Larsson and David Traum},
	Journal = {Natural Language Engineering},
	Owner = {xbreel},
	Pages = {323-240},
	Timestamp = {2013.06.28},
	Title = {Information state and dialogue management in TRINDI dialogue move engine tool kit},
	Volume = {6},
	Year = {2000}}

 @phdthesis{Larsson2002,
	Author = {Staffan Larsson},
	Owner = {ellen},
	School = {University of Gothenburg},
	Timestamp = {2011.04.11},
	Title = {Issue Based Dialogue Management},
	Year = {2002}}

 @inproceedings{Ginzburg1994update,
  title={An update semantics for dialogue},
  author={Ginzburg, Jonathan},
  booktitle={Proceedings of the Tilburg International Workshop on Computational Semantics},
  year={1994},
  organization={ITK Tilburg}
}

@incollection{Ginzburg1996,
	Author = {Jonathan Ginzburg},
	Date-Added = {2013-08-14 14:26:43 +0000},
	Date-Modified = {2013-08-14 14:28:33 +0000},
	booktitle = {Logic, language and computation},
	editors = {Jerry Seligman and Dag Westerståhl},
	Title = {Dynamics and the semantics of dialogue},
	publisher = {CSLI publications},
	address = {Stanford, CA},
	Volume = {1},
	Year = {1996}}
	
	@inproceedings{Ginzburg1998,
	Author = {Jonathan Ginzburg},
  booktitle     = {Proceedings of the 2nd Workshop on the Semantics and Pragmatics of Dialogue - Full Papers},
    publisher = {SEMDIAL},
	Date-Added = {2013-08-14 14:25:02 +0000},
	Date-Modified = {2013-08-14 14:26:20 +0000},
	Title = {Clarifying utterances},
	Year = {1998}}

@InProceedings{EshghiLemon2014,
  author        = {Arash Eshghi and Oliver Lemon},
  title         = {{How domain-general can we be? Learning incremental dialogue systems without dialogue acts}},
  booktitle     = {Proceedings of the 18th Workshop on the Semantics and Pragmatics of Dialogue - Full Papers},
    publisher = {SEMDIAL},
  year          = {2014},
  date-added    = {2015-11-10 15:41:38 +0000},
  date-modified = {2015-11-10 15:41:38 +0000},
  owner         = {arash},
  pages={53--61},
  timestamp     = {2014.07.03},

}

@incollection{Stalnaker1978,
	Author = {Robert Stalnaker},
	Booktitle = {Pragmatics},
	Date-Added = {2013-07-30 20:04:20 +0000},
	Date-Modified = {2013-07-30 20:11:52 +0000},
	Editor = {Cole, P.},
	Keywords = {presupposition pragmatics},
	Publisher = {New York Academic Press},
	address = {New York, NY},
	Series = {Syntax and Semantics},
	Title = {Assertion},
	Volume = {9},
	Year = {1978}}

 @inproceedings{wong-ginzburg-2018-conversational,
    title = "Conversational types: a topological perspective",
    author = "Wong, Kwong-Cheong  and
      Ginzburg, Jonathan",
    booktitle = "Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue - Full Papers",
    month = nov,
    year = "2018",
    address = "Aix-en-Provence, France",
    publisher = "SEMDIAL",
    url = "http://semdial.org/anthology/Z18-Wong_semdial_0019.pdf",
}

@incollection{ClarkBrennan1991,
	Author = {Clark, Herbert H and Brennan, Susan E and others},
	Date-Added = {2017-12-20 22:15:20 +0000},
	Date-Modified = {2017-12-20 22:16:06 +0000},
	booktitle = {Perspectives on Socially Shared Cognition},
	editors = {Resnick, Lauren B. and Levine, John M. and  Teasley, Stephanie D.},
	Pages = {127--149},
	Title = {Grounding in communication},
	publisher = {American Psychological Association},
	address = {Washington DC},
	Year = {1991}}

@article{bolinger1952linear,
    title={Linear modification},
    author={Bolinger, Dwight L.},
    journal={PMLA},
    volume={67},
    number={7},
    pages={1117--1144},
    year={1952},
    publisher={Cambridge University Press},
    url={https://www.jstor.org/stable/pdf/459963.pdf}
}%

@article{firbas1964defining,
    title={On defining the theme in functional sentence analysis},
    author={Firbas, Jan},
    journal={Linguistiques de Prague},
    volume={1},
    pages={267--280},
    year={1964},
    url={https://www.bibsonomy.org/bibtex/eff9eb2189e7796e099e680987dd08f8}
}%

@article{halliday1967notes1,
    title={Notes on transitivity and theme in English Part I},
    author={Halliday, Michael A.K.},
    journal={Journal of linguistics},
    volume={3},
    number={1},
    pages={37--81},
    year={1967},
    publisher={Cambridge University Press},
    url={https://www.jstor.org/stable/pdf/4174950.pdf}
}%

@article{halliday1967notes2,
    title={Notes on transitivity and theme in English: Part 2},
    author={Halliday, Michael A.K.},
    journal={Journal of linguistics},
    volume={3},
    number={2},
    pages={199--244},
    year={1967},
    publisher={Cambridge University Press},
    url={https://www.jstor.org/stable/pdf/4174965.pdf}
}

@article{givon1983topic,
    title={Topic continuity in discourse: An introduction},
    author={Giv{\'o}n, Talmy},
    journal={Topic continuity in discourse: A quantitative cross-language study},
    volume={3},
    pages={3--41},
    year={1983},
    doi={10.13140/RG.2.2.27293.15845}
}%

@inbook{ochs1983acquiring,
    author    = {Keenan, Elinor Ochs and Schieffelin, Bambi B. and Platt, Martha},
    title     = {Acquiring conversational competence},
    chapter   = {Questions of immediate concern},
    publisher = {Routledge},
    year      = {1983},
    isbn={9781315401621}
}%

@book{hockett1958course,
    title={A Course in Modern Linguistics},
    author={Hockett, C.F.},
    isbn={9780023550904},
    lccn={58005007},
    journal={Language Learning},
    doi={10.1111/j.1467-1770.1958.tb00870.x},
    url={https://books.google.se/books?id=DNYrAAAAMAAJ},
    year={1958},
    publisher={Macmillan}
}%

@incollection{schieffelin1976topic,
    title={Topic as a discourse notion: A study of topic in the conversations of children and adults},
    author={Schieffelin, Bambi B. and Keenan, Elinor Ochs},
    booktitle={Subject and topic},
    pages={335--384},
    year={1976},
    publisher={Academic Press},
    isbn={9781138224773},
    doi={10.4324/9781315401621}
}%

@article{Asher2004topic,
    author = {Asher, Nicholas},
    year = {2004},
    month = {01},
    pages = {163-201},
    title = {Discourse Topic},
    volume = {30},
    journal = {Theoretical Linguistics},
    doi = {10.1515/thli.2004.30.2-3.163}
}

@inbook{purver2011topic,
	author = {Purver, Matthew},
	publisher = {John Wiley \& Sons, Ltd},
	isbn = {9781119992691},
	title = {Topic Segmentation},
	booktitle = {Spoken Language Understanding},
	chapter = {11},
	pages = {291-317},
	doi = {https://doi.org/10.1002/9781119992691.ch11},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119992691.ch11},
	eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119992691.ch11},
	year = {2011},
	keywords = {benchmark datasets, evaluation metrics, spoken dialogue system, task description, topic segmentation},
	abstract = {Summary This chapter discusses the task of topic segmentation: automatically dividing single long recordings or transcripts into shorter, topically coherent segments. First, it looks at the task itself, the applications which require it, and some ways to evaluate accuracy. The chapter explains the most influential approaches - generative and discriminative, supervised and unsupervised - and discusses their application in particular domains. It also focuses on the techniques for understanding on a fine-grained, bottom-up level: identifying fundamental units of meaning or interactional structure, such as sentences, named entities and dialogue acts. Benchmark datasets is only a useful task when applied to recordings of some length - short segments of speech such as an utterance in a typical spoken dialogue system tend already to be topically homogeneous and thus not to require segmentation. As a result, it only started to receive attention once long recordings became available. Controlled Vocabulary Terms audio recording; interactive systems}
}

@article{whye2006hierarchical,
    author = {Yee Whye Teh and Michael I Jordan and Matthew J Beal and David M Blei},
    title = {Hierarchical Dirichlet Processes},
    journal = {Journal of the American Statistical Association},
    volume = {101},
    number = {476},
    pages = {1566-1581},
    year  = {2006},
    publisher = {Taylor & Francis},
    doi = {10.1198/016214506000000302},
    URL = {https://doi.org/10.1198/016214506000000302},
    eprint = {https://doi.org/10.1198/016214506000000302}
}

@inproceedings{smith2014hiearchie,
    title = "{H}iearchie: Visualization for Hierarchical Topic Models",
    author = "Smith, Alison  and
      Hawes, Timothy  and
      Myers, Meredith",
    booktitle = "Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces",
    month = jun,
    year = "2014",
    address = "Baltimore, Maryland, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W14-3111",
    doi = "10.3115/v1/W14-3111",
    pages = "71--78",
}

@article{hearst1997texttiling,
    title = "Text Tiling: Segmenting Text into Multi-paragraph Subtopic Passages",
    author = "Hearst, Marti A.",
    journal = "Computational Linguistics",
    volume = "23",
    number = "1",
    year = "1997",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://aclanthology.org/J97-1003",
    pages = "33--64",
}

@article{landauer1998introduction,
  title={An introduction to latent semantic analysis},
  author={Landauer, Thomas K and Foltz, Peter W and Laham, Darrell},
  journal={Discourse processes},
  volume={25},
  number={2-3},
  pages={259--284},
  year={1998},
  publisher={Taylor \& Francis}
}

@inproceedings{galley2003discourse,
    title = "Discourse Segmentation of Multi-Party Conversation",
    author = "Galley, Michel  and
      McKeown, Kathleen R.  and
      Fosler-Lussier, Eric  and
      Jing, Hongyan",
    booktitle = "Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2003",
    address = "Sapporo, Japan",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P03-1071",
    doi = "10.3115/1075096.1075167",
    pages = "562--569",
}

@article{beeferman1999statistical,
  title={Statistical models for text segmentation},
  author={Beeferman, Doug and Berger, Adam and Lafferty, John},
  journal={Machine learning},
  volume={34},
  pages={177--210},
  year={1999},
  publisher={Springer}
}

@inproceedings{chen2016character,
    title = "Character Identification on Multiparty Conversation: Identifying Mentions of Characters in {TV} Shows",
    author = "Chen, Yu-Hsin  and
      Choi, Jinho D.",
    booktitle = "Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
    month = sep,
    year = "2016",
    address = "Los Angeles",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W16-3612",
    doi = "10.18653/v1/W16-3612",
    pages = "90--100",
}

@inproceedings{ijcai2018p612,
  title     = {A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning},
  author    = {Ryuichi Takanobu and Minlie Huang and Zhongzhou Zhao and Fenglin Li and Haiqing Chen and Xiaoyan Zhu and Liqiang Nie},
  booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
               Artificial Intelligence, {IJCAI-18}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  pages     = {4403--4410},
  year      = {2018},
  month     = {7},
  doi       = {10.24963/ijcai.2018/612},
  url       = {https://doi.org/10.24963/ijcai.2018/612},
}

@article{Xu_Zhao_Zhang_2021, 
	title={Topic-Aware Multi-turn Dialogue Modeling}, 
	volume={35}, 
	url={https://ojs.aaai.org/index.php/AAAI/article/view/17668}, 
	DOI={10.1609/aaai.v35i16.17668}, 
	abstractNote={In the retrieval-based multi-turn dialogue modeling, 
	it remains a challenge to select the most appropriate response according to extracting salient features in context utterances. As a conversation goes on, 
	topic shift at discourse-level naturally happens through the continuous multi-turn dialogue context. However, 
	all known retrieval-based systems are satisfied with exploiting local topic words for context utterance representation but fail to capture such essential global topic-aware clues at discourse-level. Instead of taking topic-agnostic n-gram utterance as processing unit for matching purpose in existing systems, 
	this paper presents a novel topic-aware solution for multi-turn dialogue modeling, 
	which segments and extracts topic-aware utterances in an unsupervised way, 
	so that the resulted model is capable of capturing salient topic shift at discourse-level in need and thus effectively track topic flow during multi-turn conversation. Our topic-aware modeling is implemented by a newly proposed unsupervised topic-aware segmentation algorithm and Topic-Aware Dual-attention Matching (TADAM) Network, 
	which matches each topic segment with the response in a dual cross-attention way. Experimental results on three public datasets show TADAM can outperform the state-of-the-art method, 
	especially by 3.3% on E-commerce dataset that has an obvious topic shift.}, 
	number={16}, 
	journal={Proceedings of the AAAI Conference on Artificial Intelligence}, 
	author={Xu, 
	Yi and Zhao, 
	Hai and Zhang, 
	Zhuosheng}, 
	year={2021}, 
	month={May}, 
	pages={14176-14184}
}

@article{Song2016dialogue,
  author       = {Yiping Song and
                  Lili Mou and
                  Rui Yan and
                  Li Yi and
                  Zinan Zhu and
                  Xiaohua Hu and
                  Ming Zhang},
  title        = {Dialogue Session Segmentation by Embedding-Enhanced TextTiling},
  journal      = {CoRR},
  volume       = {abs/1610.03955},
  year         = {2016},
  url          = {http://arxiv.org/abs/1610.03955},
  eprinttype    = {arXiv},
  eprint       = {1610.03955},
  timestamp    = {Fri, 09 Apr 2021 17:11:06 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/SongMYYZHZ16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{Galley2003segmentation,
    author = {Galley, Michel and McKeown, Kathleen and Fosler-Lussier, Eric and Jing, Hongyan},
    title = {Discourse Segmentation of Multi-Party Conversation},
    year = {2003},
    publisher = {Association for Computational Linguistics},
    address = {USA},
    url = {https://doi.org/10.3115/1075096.1075167},
    doi = {10.3115/1075096.1075167},
    abstract = {We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about form using linguistic and acoustic cues about topic shifts extracted from speech. This segmentation algorithm uses automatically induced decision rules to combine the different features. The embedded text-based algorithm builds on lexical cohesion and has performance comparable to state-of-the-art algorithms based on lexical information. A significant error reduction is obtained by combining the two knowledge sources.},
    booktitle = {Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1},
    pages = {562–569},
    numpages = {8},
    location = {Sapporo, Japan},
    series = {ACL '03}
}

@book{halliday2014cohesion,
  title={Cohesion in english},
  author={Halliday, Michael Alexander Kirkwood and Hasan, Ruqaiya},
  year={1976},
  publisher={Longman: London}
}

@book{yule2013referential,
  title={Referential communication tasks},
  author={Yule, George},
  year={2013},
  publisher={Routledge}
}

@article{Colin2020T5,
author = {Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and Matena, Michael and Zhou, Yanqi and Li, Wei and Liu, Peter J.},
title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
year = {2020},
issue_date = {January 2020},
publisher = {JMLR.org},
volume = {21},
number = {1},
issn = {1532-4435},
abstract = {Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP). The effectiveness of transfer learning has given rise to a diversity of approaches, methodology, and practice. In this paper, we explore the landscape of transfer learning techniques for NLP by introducing a unified framework that converts all text-based language problems into a text-to-text format. Our systematic study compares pretraining objectives, architectures, unlabeled data sets, transfer approaches, and other factors on dozens of language understanding tasks. By combining the insights from our exploration with scale and our new "Colossal Clean Crawled Corpus", we achieve state-of-the-art results on many benchmarks covering summarization, question answering, text classification, and more. To facilitate future work on transfer learning for NLP, we release our data set, pre-trained models, and code.},
journal = {J. Mach. Learn. Res.},
month = {jan},
articleno = {140},
numpages = {67},
keywords = {multi-task learning, attention based models, transfer learning, deep learning, natural language processing}
}

@article{Schegloff1973opening,
    url = {https://doi.org/10.1515/semi.1973.8.4.289},
    title = {Opening up Closings},
    title = {},
    author = {Emanuel A. Schegloff and Harvey Sacks},
    pages = {289--327},
    volume = {8},
    number = {4},
    journal = {},
    doi = {doi:10.1515/semi.1973.8.4.289},
    year = {1973},
    lastchecked = {2023-10-09}
}

@article{Forchini2009Spontaneity,
    author = {Forchini, Pierfranca},
    year = {2009},
    month = {01},
    pages = {1-27},
    title = {Spontaneity reloaded: American face-to-face and movie conversation compared},
    journal = {Corpus linguistics 2009 proceedings}
}

@inproceedings{LogicandConversation,
  author = {Grice, Herbert Paul},
  editor = {Peter Cole and Jerry L. Morgan},
  title = {Logic and Conversation},
  booktitle = {Syntax and Semantics},
  pages = {45–47},
  publisher = {New York: Academic Press},
  year = {1975},
  volume = {3},
  url = {https://www.ucl.ac.uk/ls/studypacks/Grice-Logic.pdf}
}%

@book{schnedecker1997nom,
  title={Nom propre et cha{\^\i}nes de r{\'e}f{\'e}rence},
  author={Schnedecker, Catherine},
  year={1997},
  publisher={Librairie Klincksieck}
}

@article{youmans1991tool,
 ISSN = {00978507, 15350665},
 URL = {http://www.jstor.org/stable/415076},
 abstract = {A computer is used to count the number of new vocabulary words introduced into a text over a moving interval thirty-five words long. The number of new words in each successive interval is plotted at the midpoint of the interval, generating a curve called the Vocabulary-Management Profile (VMP). Analysis of VMPs for passages from James Joyce and George Orwell illustrates that clearcut peaks and valleys on VMPs correlate closely with constituent boundaries and information flow in discourse. VMPs for these authors show surprisingly regular alternations between peaks and valleys (that is, between new and repeated vocabulary), reflecting two competing principles that necessarily underlie all normal discourse: innovation and coherence.},
 author = {Gilbert Youmans},
 journal = {Language},
 number = {4},
 pages = {763--789},
 publisher = {Linguistic Society of America},
 title = {A New Tool for Discourse Analysis: The Vocabulary-Management Profile},
 urldate = {2023-10-10},
 volume = {67},
 year = {1991}
}

