References

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Contents

Bibliography

Publications will be listed in reversed chronological order unless stated otherwise.


Seminal Papers

(Chronological order)

Miller, C. R. (1984) Genre as social action. Quarterly Journal of Speech, 70, 151-167.

Kress, G. & Threadgold, T. (1988) Towards a social theory of genre. Southern Review, 21, 215-243.

Yates, J. A. & Orlikowski, W. J. (1992) Genres of organizational communication: A structurational approach to studying communication and media. Academy of Management Review, 17, 299-326.

Karlgren J. and Cutting D. (1994). Recognizing Text Genre with Simple Metrics Using Discriminant Analysis. Proceedings of the 15th International Conference on Computational Linguistics (COLING 1994). Kyoto. [1]

Orlikowski, W. J. & Yates, J. A. (1994) Genre repertoire: Norms and forms for work interaction. Administrative Science Quarterly, 39, 541-574.

Yates, S. J. & Sumner, T. R. (1997) Digital genres and the new burden of fixity. Proceedings of the Thirtieth Annual Hawaii International Conference on Systems Sciences.

Kessler B., Numberg G. and Shütze H. (1997). Automatic Detection of Text Genre. Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics, Madrid. [2]

Argamon S., Koppel M. and Avneri G. (1998). Routing documents according to style. Proceedings of the First International Workshop on Innovative Internet Information Systems (IIIS-98). Pisa. [3]

Toms, E. G. & Campbell, D. G. (1999) Genre as interface metaphor: Exploiting form and function in digital environments. Proceedings of the 32nd Hawaii International Conference on System Sciences Hawaii, IEEE. [4]

Stamatatos E., Fakotakis N. and Kokkinakis G. (2000). Text Genre Detection Using Common Word Frequencies. Proceedings of the 18th International Conference on Computational Linguistics (COLING 2000). Saarbrücken. [5]

Kwasnik, B. H. & Crowston, K. (2005) Introduction to the special issue: Genres of digital documents Information Technology & People 18, 76-88.[6]

Books & Chapters

(Chronological order) Freedman, A. & Medway, P. (1994) Learning and teaching genre, Boynton/Cook Publishers.

Freedman, A., Bazerman, C. & Medway, P. (1994) Genre and the new rhetoric, London, Taylor & Francis.

Bazerman, C. (1994) Systems of genres and the enactment of social intentions. IN Freedman, A. & Medway, P. (Eds.) Genre and the new rhetoric. Taylor & Francis.

Paré, A. & Smart, G. (1994) Observing genres in action: Towards a research methodology. IN Freedman, A. & Medway, P. (Eds.) Genre and the new rhetoric. Taylor and Francis.

Miller, C. R. (1994) Rhetorical community: The cultural basis of genre. IN (1994), F. M. (Ed.) Genre and the new rhetoric.

Berkenkotter, C. & Huckin, T. N. (1995) Genre knowledge in disciplinary communication: Cognition, culture, power, Hillsdale, L. Erlbaum Associates.

Spinuzzi, C. (2003) Tracing genres through organizations: A sociocultural approach to information design. , Cambridge,MA, MIT Press.

Watt, S. N. K. (In Press) Text categorisation and genre in information retrieval. IN Goker, A. & Davies, J. (Eds.) Information retrieval: Searching in the 21st century. John Wiley & Sons.

--marina 27 feb

Master Dissertations & PhD Theses

(Chronological order)

  • Gunnarsson M. (in preparation). Genre and Document Classification. Features for Automated Genre Classification. Swedish School of Library and Information Science. Borås (Sweden)
  • Clark Malcom (PhD thesis in progress)
  • Vidulin Vedrana (PhD thesis in progress)


-- Marina, Stockholm, 13 Nov, 2007 -- 28 ottobre 2008

Automatic Genre Classification

2009

Mason J., Shepherd M. and Duffy J. (2009). An N-Gram Based Approach to Automatically Identifying Web Page Genre," Hawaii International Conference on System Sciences, vol. 0, no. 0, pp. 1-10, 42nd Hawaii International Conference on System Sciences, 2009.


2008

Dong L., Watters C., Duffy J. and Shepherd M. (2008) An Examination of Genre Attributes for Web Page Classification . Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008). [7]. Best Paper of the Minitrack: Genres of Communication and Digital Documents

Kim Y. and Ross S. (2008) Examining Variations of Prominent Features in Genre Classification. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008). [8]

Levering R., Cutler M. and Yu L. (2008). Using Visual Features for Fine-Grained Genre Classification of Web Pages. Proceedings of the 41st Hawaii International Conference on System Sciences [9]

2007

Clark M. and Watt S. (2007). Classifying XML Documents by Using Genre Features. TIR-07 4th International Workshop on Text-based Information Retrieval in conjunction with DEXA 2007; 2007 3-7 September 2007 Regensburg, Germany, pp.242-248. [10] and [11]

Kanaris, I. and E. Stamatatos (2007). Webpage Genre Identification Using Variable-length Character n-grams In Proc. of the 19th IEEE Int. Conf. on Tools with Artificial Intelligence. [12]


Kim Y. and Ross S. (2007a) Variations of word frequencies in Genre classification tasks. In Proceedings DELOS conference on Digital Libraries, Tirrenia, Italy.[13]

Kim Y. and Ross S. (2007b) "The Naming of Cats": Automated Genre Classification, International Journal of Digital Curation, Vol 2, No 1 (2007). [14]

Kim Y. and Ross S. (2007c) Feature Type Analysis in Automated Genre Classification. Preprint. [15]

Kim Y. and Ross S. (2007d) Searching for Ground Truth: a Stepping Stone in Automated Genre Classification. In Thanos et al. Eds. Proceedings DELOS Conference on Digital Libraries, LNCS 4877, pages 248-261, Springer. [16]

Levering R., Cutler M. and Yu L. (2007) Visual features in genre classification of html. Proceedings of the 18th conference on Hypertext and hypermedia, Manchester, UK. POSTER SESSION, pp.51 - 52.[17]

Santini M. (2007). Automatic Genre Identification: Towards a Flexible Classification Scheme. BCS IRSG Symposium: Future Directions in Information Access 2007 (FDIA 2007), Tuesday, 28th and Wednesday, 29th of August, Glasgow, Scotland. Held in conjunction with the European Summer School on IR (ESSIR 2007). [18]

Sharoff, Serge (2007) Classifying Web corpora into domain and genre using automatic feature identification. In Proc. of Web as Corpus Workshop, Louvain-la-Neuve, September, 2007. [19]

Stubbe A. and Ringlstetter C. (2007). Recognizing Genres. In Santini M. and Sharoff S. (eds), Abstract Proceedings of the Colloqium "Towards a Reference Corpus of Web Genres", held in conjunction with Corpus Linguistics 2007, Birmingham, UK - July 27, 2007. [20]

Stubbe A., Ringlstetter C., and Schulz K. (2007). Genre to Classify Noise - Noise to Classify Genre, Proceedings of the IJCAI-2007 Workshop on Analytics for Noisy Unstructured Text Data, Hyderabad, India, January 8, 2007. [21]; International Journal on Document Analysis and Recognition (IJDAR), December 2007 [22]

A. Stubbe, C. Ringlstetter, R. Goebel (2007). Elements of a Learning Interface for Genre Qualified Search. Australian Joint Conference on Artificial Intelligence, pp. 791-797, December 2007 [23]; Rehm G. and Santini M. (eds) (2007), Proceedings of the Int. Workshop Towards GenreEnabled Search Engines: The Impact of NLP, Borovets, Bulgaria; Lecture Notes in Computer Science, 2007(4830) Short Papers.

Stubbe A., Ringlstetter C., Zheng T., and Goebel R. (2007). Incremental genre classification.In Santini M. and Sharoff S. (eds), Abstract Proceedings of the Colloqium "Towards a Reference Corpus of Web Genres", held in conjunction with Corpus Linguistics 2007, Birmingham, UK - July 27, 2007. [24]

Vidulin V., Luštrek M., Gams M. (2007). Using genres to improve search engines. In Proc. of Towards Genre-enable Search Engines: The Impact of Natural Language Processing Workshop, Borovets, Bulgaria, September 2007. [25]

Vidulin V., Luštrek M., Gams M. (2007). Evaluation of different approaches to training a genre classifier. Proceedings of the 2007 International Conference on Artificial Intelligence and Pattern Recognition, Orlando, Florida, USA, 2007, pp. 515-520. [26]

Vidulin V., Luštrek M., Gams M. (2007). Training the genre classifier for automatic classification of web pages. Proceedings of the ITI 2007 29th International Conference on Information Technology Interfaces, Cavtat/Dubrovnik, Croatia, 2007, pp. 93-98. [27]

2006

Gupta, S., Becker, H., Kaiser, G., and Stolfo, S. (2006). Verifying genre-based clustering approach to content extraction. In Proceedings of the 15th International Conference on World Wide Web (Edinburgh, Scotland, May 23 - 26, 2006). WWW '06. ACM Press, New York, NY, 875-876. [28]

Kim, Dr Yunhyong and Ross, Prof Seamus (2006a) Genre Classification in Automated Ingest and Appraisal Metadata. In Gonzalo, Julio, Eds. Proceedings EUROPEAN CONFERENCE ON RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES (ECDL) LNCS 4172, pages pp. 63-74, Alicante, Spain. [29]

Kim, Dr Yunhyong and Ross, Prof Seamus (2006b) Automating Metadata Extraction: Genre Classification. In Proceedings UK e-Science All Hands Meeting 2006: Achievements, Challenges, and New Opportunities, Nottingham. [30]

Muresan G., Smith C., Cole M., Liu L. and Belkin N. (2006). Detecting Document Genre for Personalization in Information Retrieval. Proceedings of the 39th Hawaii International Conference on System Science (HICSS-39). [31]

Santini M. (2006). Common Criteria for Genre Classification: Annotation and Granularity, Workshop on Text-based Information Retrieval (TIR-06), In Conjunction with ECAI 2006, Riva del Garda, Italy - Aug 29th, 2006. [32]

Sharoff, Serge (2006) Creating general-purpose corpora using automated search engine queries. In Marco Baroni and Silvia Bernardini, editors, WaCky! Working papers on the Web as Corpus. Gedit, Bologna. [33]


---marina, stoccolma 26 feb 2008

Pre-2006

Gupta, S., Kaiser, G., Stolfo, S., and Becker, H. (2005). Genre Classification of Websites Using Search Engine Snippets. Technical Report CUCS-004-05 , Columbia Computer Science. [34]

Meyer zu Eissen S. and Stein B. (2004), Genre Classification of Web Pages: User Study and Feasibility Analysis. In Biundo S., Fruhwirth T., Palm G. (eds.), Advances in Artificial Intelligence, Springer, Berlin, 256-269. [35]

Wastholm P., Kusma A. and Megyesi B. (2005). Using Linguistic Data for Genre Classification. In Proceedings of SAIS-SSLS, 12th -14th April 2005, Mälardalen University, Västerås. [36]

Argamon S. and Dodick J. (2004). Conjunction and Modal Assessment in Genre Classification: A Corpus-Based Study of Historical and Experimental Science Writing. In Notes of AAAI Spring Symposium on Attitude and Affect in Text, March 2004 [37]

Braslavski P. (2004). Document Style Recognition Using Shallow Statistical Analysis. In Proceedings of the ESSLLI 2004 Workshop on Combining Shallow and Deep Processing for NLP, Nancy, France, 2004, p. 1-9. [38]

Rauber A. and Müller-Kögler, A. (2001). Integrating Automatic Genre Analysis into Digital Libraries. In Proceedings of the JCDL’2001, 1-10.

Dewdney N., Vaness-Dikema C. and Macmillan R. (2001). The form is the Substance: Classification of Genres in Text. Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics and 10th Conference of the European Chapter of the Association for Computational Linguistics, Toulouse. [39]

Genre in IR Conferences

Dimitrova, M., Kushmerick N. (2003) Dimensions of Web Genre, Poster at WWW2003, Budapest, Hungary.

Finn A., Kushmerick N., and Smyth B. (2002). Genre classification and domain transfer for information filtering”. Proceedings of European Colloquium for Information Retrieval Research. Glasgow (UK).

Lee Y. and Myaeng S. (2002). Text Genre Classification with Genre-Revealing and Subject-Revealing Features. SIGIR 2002). Tampere (Finland).

L Freund, E G Toms, C L Clarke (2005). Modeling task-genre relationships for IR in the workplace. SIGIR 2005. Salvador, Brazil

L Freund, C L Clarke, E G Toms (2006). Towards genre classification for IR in the workplace. SIGIR 2005. Copenhagen, Denmark.

J. Xu, Y. Cao, H. Li, N. Craswell, and Y. Huang. 2007. Searching Documents Based on Relevance and Type. ECIR 2007. Rome, Italy.

P.C.K. Yeung, S. Büttcher, C.L.A. Clarke, and M. Kolla. 2007. A Bayesian Approach for Learning Document Type Relevance. ECIR 2007. Rome, Italy

PCK Yeung, CLA Clarke, S Büttcher (2007) Improving retrieval accuracy by weighting document types with clickthrough data. SIGIR’07. Amsterdam, The Netherlands.

PCK Yeung, L Freund, CLA Clarke (2007) X-Site: a workplace search tool for software engineers. SIGIR’07. Amsterdam, The Netherlands.

A Stepinski, V Mittal (2007) A fact/opinion classifier for news articles. SIGIR 2007. Amsterdam, The Netherlands.

Users' Perspective on Genres on the Web

Rosso M. (2008). User-based identification of Web genres. Journal of the American Society for Information Science and Technology, 59 (7), 1053-1072. [40]

Santini M. (2008). Zero, single, or multi? genre of web pages through the users' perspective. Information Processing and Management, Vol. 44, Nr 2, pp. 702-737. [41]

Santos D and Frankenberg-Garcia A. (2007) The corpus, its users and their needs: A user-oriented evaluation of COMPARA. International Journal of Corpus Linguistics, Vol. 12:3, pp.335–374.

Michela Montesi (2007) Classifying web genres in context: A case study documenting the web genres used by a software engineer, seminar Wednesday 18th April, Room 512, Watts Building, 1-2pm. [42]

Kwasnik B., Crowston K., Rubleske J. and Chun Y.-L. (2007). Building a Corpus of Genre-Tagged Webpages for an Information-Access Experiment. Abstract Proceedings of the Colloquium “Towards a Reference Corpus of Web Genres”, held in conjunction with Corpus Linguistics 2007, Birmingham. [43]

Santini M. (2006). Interpreting Genre Evolution on the Web: Preliminary Results. In Karlgren J. (ed.), Proceedings of the EACL Workshop on New Text – Wikis and blogs and other dynamic text sources, April 3-7, 2006, Trento, Italy, Seiten 1–8, 2006, pp. 32-39. [44]

Freund, L., Clarke, C.L.A. & Toms, E.G. (2006) Genre classification for IR in the workplace. Information Interaction in Context, Copenhagen, Denmark, October 2006 (accepted).

Aires R., Aluísio S. & Santos D. (2005) User-aware page classification in a search engine. In Proceedings of Stylistic Analysis Of Text For Information Access, SIGIR 2005 Workshop (Salvador, BA, Brasil, 19 de Agosto de 2005 ), pp. 61-68 [45]

Aires R., Santos D. & Aluísio S. (2005)) "Yes, user!": compiling a corpus according to what the user wants". In Pernilla Danielsson & Martijn Wagenmakers (eds.), Proceedings from the Corpus Linguistics 2005 Conference Series (Birmingham, UK, 14-17 de Julho de 2005 ), s/pp. ISSN: 1747-9398. [46]

Freund, L., Toms, E.G. & Clarke, C.L.A. (2005) Modeling task-genre relationships for IR in the workplace. Annual International ACM SIGIR Conference , Salvador , Brazil.

Experts' Perspective on Genres

Sharoff (In preparation). In the garden and in the jungle: comparing genres in the BNC and Internet. In Genres on the Web: Computational Models and Empirical Studies . Forthcoming. Preliminary Draft

Sharoff (2007). In the garden and in the jungle: comparing genres in the BNC and Internet. Abstract Proceedings of the Colloquium “Towards a Reference Corpus of Web Genres”, held in conjunction with Corpus Linguistics 2007, Birmingham. [47]

Lee D. (2001). GENRES, REGISTERS, TEXT TYPES, DOMAINS, AND STYLES: CLARIFYING THE CONCEPTS AND NAVIGATING A PATH THROUGH THE BNC JUNGLE. Language Learning & Technology Vol. 5, No. 3, September 2001, pp. 37-72. [48]

Sinclair J. (2003).

EAGLES Guidelines: Preliminary Recommendations on Text Typology (1996). [49]

(Corpus-Based) Genre Analysis of (Web) Genres

Crossley S. and Louwerse M. (2007). Multi-dimensional register classification using bigrams. International Journal of Corpus Linguistics 12:4, 453–478.

Bednarek M.(2007) Local Grammar and Register Variation: Explorations in Broadsheet and Tabloid Newspaper Discourse, ELR Journal - Empirical Language Research, Vol. 1, Nr 1. [50]

Nishina Y. (2007) A Corpus-Driven Approach to Genre Analysis: The Reinvestigation of Academic, Newspaper and Literary Texts, ELR Journal - Empirical Language Research Vol. 1. Nr 2. [51]

Tavosanis M. (2007). Juvenile Netspeak and Subgenre Classification Issues in Italian Blogs. In Rehm and Santini (2007), Proceedings of the Int. Workshop Towards Genre-Enabled Search Engines: The Impact of NLP, Borovets, Bulgariapp. 37–43. [52]

Stein D. (2006). The website as a domain-specific genre. Language@internet, 3. [53]

Karlgren J. (ed.) Proceedings of the Workshop "NEW TEXT: Wikis and blogs and other dynamic text sources. EACL 2006, pril, 4, 2006 Trento, Italy. [54]

Xiao, R. Z. and McEnery, A. M. (2005) Two approaches to genre analysis: three genres in modern American English. Journal of English Linguistics, 33 (1). pp. 62-82. [55]

Taboada M. (2004). The Genre Structure of Bulletin Board Messages. TEXT Technology, (TEXTt), Vol. 13, No. 2, pp. 55-82. [56]

Tribble, C. 1998. Writing Difficult Texts [Unpublished PhD thesis]. Lancaster: Lancaster University http://www.ctribble.co.uk/text/phd.htm]


[In press?]Portability of cause-effect relation markers across specialized domains and text genres: A comparative evaluation** Corpora

Structural Analysis of Web Genres

Clark M., Ruthven I. and O'Brian Holt P. Genre Analysis of Structured Emails for Corpus Profiling. Workshop on Corpus Profiling for IR/NLP in conjunction with The Symposium on Information Interaction in Context; 2008 October 19 2008; The BCS, London. EWICS; In Press 2008.[Link to follow]

Mehler A. and Wegner A. (2008). Unifying content and structure learning: A model of semi-supervised hypertext zoning. Presentation at ZiF Workshop: Processing Text-Technological Resources, Bielefeld, March 13 - 15, 2008. [57]

Mehler A. (2007a): Large Text Networks as an Object of Corpus Linguistic Studies. In Lüdeling, Anke; Kytö, Merja (eds.): Corpus Linguistics. An International Handbook. Berlin/New York: de Gruyter.[58]

Mehler A. (2007b). A Corpus Model of Structure Formation in Hypertext Types. Proceedings of the Colloquium "Towards a reference corpus of web genres" in conjunction with the Corpus Linguistics 2007 Conference, Birmingham (UK).[59]

Mehler A. (2007c). Structure Formation in the Web. A Graph-Theoretical Model of Hypertext Types. In Witt, Andreas und Dieter Metzing (Herausgeber): Linguistic Modeling of Information and Markup Languages. Contributions to Language Technology, Text, Speech and Language Technology. Springer, Dordrecht, 2007.[60]

Mehler A., Gleim R. and Wegner A. (2007). Structural Uncertainty of Hypertext Types. An Empirical Study. In: Proceedings of the Workshop “Towards Genre-Enabled Search Engines: The Impact of NLP”, September, 30, 2007, in conjunction with RANLP 2007, Borovets, Bulgaria, pp. 13–19. [61]

Pustylnikov O. (2007). Guessing Text Type by Structure. 19th European Summer School in Logic, Language and Information (ESSLLI 2007, Student Session), August 6-18, 2007, Trinity College Dublin, Ireland.[62] Program

Lindemann C. and Littig L. (2007). Classifying web sites. WWW 2007: 1143-1144. [63]

Lindemann C. and Littig L. (2006). Coarse-grained classification of web sites by their structural properties. WIDM 2006: 35-42. [64]

Mehler A. and Gleim R. (2006). The Net for the Graphs – Towards Webgenre Representation for Corpus Linguistic Studies. In: Baroni, Marco und Silvia Bernardini (Herausgeber): WaCky! Working Papers on the Web as Corpus, Seiten 191–224. Gedit, Bologna, 2006. [65]

Mehler A., Geibel P., Gleim R., Herold S., Jain B. and Pustylnikov O. (2006). Much Ado About Text Content. Learning Text Types Solely by Structural Differentiae. In Kühnberger, Kai-Uwe und Uwe Mönnich (Herausgeber): Workshop on Ontologies in Text Technology: Approaches to Extract Semantic Knowledge from Syntactic Information (OTT ’06), September 28-29, University of Osnabrück, 2006, pp. 63-71. [66]

Mehler A. (2006) Text Linkage in the Wiki Medium – A Comparative Study. In Karlgren J. (ed.), Proceedings of the EACL Workshop on New Text – Wikis and blogs and other dynamic text sources, April 3-7, 2006, Trento, Italy, Seiten 1–8, 2006. [67]

Amitay, E., Carmel, D., Darlow, A., Lempel, R., and Soffer A. (2003). The Connectivity Sonar: Detecting Site Functionality by Structural Patterns. ACM Hypertext 2003. [68]

Pierre J. (2001) On the Automated Classification of Web Sites. Link¨oping Electronic Articles in Computer and Information Science, Vol. 6(2001). [69]

Clark M. (2007). Structured Text Retreival by Means of Affordances and Genre. BCS IRSG Symposium: Future Directions in Information Access 2007 (FDIA 2007), Tuesday, 28th and Wednesday, 29th of August, Glasgow, Scotland. Held in conjunction with the European Summer School on IR (ESSIR 2007).[70]

Content and Genre

Symonenko S. (2007). Recognizing Genre-Like Regularities in Website Content Structure. In Proceedings of the Workshop “Towards Genre-Enabled Search Engines: The Impact of NLP”, September, 30, 2007, in conjunction with RANLP 2007, Borovets, Bulgaria, pp. 29–36.

Honkaranta, A. (2003). Evaluating a 'Genre Lens' for Analysing Requirements for Content Assembly. In Siau, K., Halpin, T. and Krogstie, J. (eds.), Proceedings of the Eighth CAiSE/IFIP8.1 International Workshop on Evaluation of Modeling Methods in Systems Analysis and Design (EMMSAD_03).. In conjunction with CAiSE'03). Velden, Austria, June 16-17, 2003, pp. 95-105. [71]

Authorship Attribution and Genre Conventions

Karlgren J. and Eriksson G. (2007) Authors, Genre, and Linguistic Convention. In: SIGIR Workshop on Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection, 27 August 2007, Amsterdam. [72]

Baayen H., Halteren H. Van and Tweedie F. (1996). Outside the cave of shadows: Using syntactic annotation to enhance authorship attribution. Literary and Linguistic Computing, Vol. 11, No. 3, pp. 121-132. [73]



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Sentiment and Genre

Gill, A.J., Nowson, S., & Oberlander, J. (in preparation). Language and Personality in Computer-Mediated Communication: A cross-genre comparison.

Oberlander, J. and Gill, A.J. (2006) Language with character: A corpus-based study of individual differences in e-mail communication. Discourse Processes, 42(3), 239-270. [74]

Nowson, S., & Oberlander, J. (2006). Differentiating document type and author personality from linguistic features. In Proceedings of the Eleventh Australasian Document Computing Symposium (ADCS 2006), Brisbane, Australia. [75]

Oberlander, J., & Nowson, S. (2006). Whose thumb is it anyway? Classifying author personality from weblog text. In the proceedings of CoLing/ACL. Sydney, Australia. [76]

Nowson, S. (2006). The Language of Weblogs: A study of genre and individual differences. Unpublished Doctoral Thesis. University of Edinburgh. [77]

Nowson, S., Oberlander, J., & Gill, A.J. (2005). Weblogs, Genres and Individual Differences. In the proceedings of the 27th Annual Conference of the Cognitive Science Society. Stresa, Italy. [78]


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Stylistic Analysis for Information Retrieval

Aires R., Manfrin A., Aluísio S. & Santos D. (2004). What Is My Style? Stylistic features in Portuguese web pages according to IR users' needs. In Maria Teresa Lino, Maria Francisca Xavier, Fátima Ferreira, Rute Costa & Raquel Silva (eds.), Proceedings of LREC2004, the 4th International Conference on Language Resources and Evaluation (LREC'2004) (Lisboa, Portugal, 26-28 de Maio de 2004 ), pp. 1943-1946. [79]

Aires R., Manfrin A., Aluísio S. & Santos D. (2004). Which classification algorithm works best with stylistic features of Portuguese in order to classify web texts according to users' needs?. Relatório Técnico nº 241 : ICMC/USP. [80]





marina, 28 feb 2008

Genre Corpus Building and Genre Annotation

Berninger V., Kim Y and Ross R. (2008). Building a Document Genre Corpus: A Profile of the KRYS I Corpus. Corpus Profiling for Information Retrieva and Natural Language Processing. Workshop held in conjunction with IIiX 2008, 18th October 2008. London.

Rehm G., Santini M., Mehler A., Braslavski P., Gleim R., Stubbe A., Symonenko S., Tavosanis M., Vidulin V. (2008). Towards a Reference Corpus of Web Genres for the Evaluation of Genre Identification Systems. LREC 2008, Marrakesh.

IPM SPECIAL ISSUE (January 2008): Evaluation of Interactive Information Retrieval Systems. Information Processing & Management, Volume 44, Issue 1, pp. 1-432. [81]

Herring, S. C. (2007). A faceted classification scheme for computer-mediated discourse. Language@Internet, 4. [82]

Ries K., Levin L., Valle L., Lavie A., and Waibel A. (2000) Shallow discourse genre annotation in CallHome Spanish. In Proceedings of the Second International Conference On Language Ressources And Evaluation, LREC 2000, Athens, Greece, 31st May-2nd June 2000 [83]

Modelling Image-Text Combination in a Genre Perspective

cross-reference = Kim Y. and Ross S. (2008). [84]

Cross-reference = Levering et al. (2008). [85]

Cross-reference = Levering et al. (2007).

King A. The Average Web Page [86]

Levering R. and Cutler M. (2006). The Portrait of a Common HTML Web Page. Proceedings of the 2006 ACM symposium on Document engineering, Amsterdam, The Netherlands, SESSION: Novel web applications, pp. 198-204. [87]

Martinec R. and Salway A. (2005), ‘A System for Image-Text Relations in New (and Old) Media ’, Visual Communication 4(3), 337-371.[88]

Salway A. and Martinec R. (2005), ‘Some Ideas for Modelling Image-Text Combinations ’, Dept. of Computing Technical Report CS-05-02, University of Surrey. [89]

Schmid-Isler S. (1997). The Language of Digital Genres. A Semiotic Investigation of Style and Iconology on the World Wide Web. Proceedings of the 33rd Hawaii International Conference on System Sciences (HICSS-33). [90]

Social Network Analysis -- Information Systems

Paolillo

McMillan C. (2007). Language Processing and Social Network Analysis in SONAR, an Enterprise Information Management Application. Talk, Sussex University, Brighton. [91]

T. Päivärinta & Ø. Sæbø (2008). The Genre System Lens on E-Democracy, Volume 20 (2008), No. 2.

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