[Humanist] 30.529 events: Plotting Poetry; Natural Language & Information Systems
Humanist Discussion Group
willard.mccarty at mccarty.org.uk
Wed Nov 30 07:40:26 CET 2016
Humanist Discussion Group, Vol. 30, No. 529.
Department of Digital Humanities, King's College London
Submit to: humanist at lists.digitalhumanities.org
 From: Wintner Shuly <shuly at cs.haifa.ac.il> (82)
Subject: NLDB 2017 CFP
 From: Anne-Sophie Bories <a.bories at unibas.ch> (56)
Subject: Plotting Poetry and more
Date: Tue, 29 Nov 2016 07:24:26 +0000
From: Wintner Shuly <shuly at cs.haifa.ac.il>
Subject: NLDB 2017 CFP
22nd International Conference on
Natural Language & Information Systems (NLDB 2017)
CALL FOR PAPERS
Liège, Belgium | June 21-23, 2017
*** NLDB Conference Publications ***
As a continuation of the NLDB tradition, all accepted papers will be published in the Lecture Notes in Computer Science (LNCS) series of Springer.
We are also planning a special issue in Data & Knowledge Engineering, an ISI-indexed prestigious journal of Elsevier. Authors of the best conference papers, to be selected at the end of the conference, will be invited to submit an extended version of their work to the previously mentioned journal.
Submission information can be found towards the end of this page.
More information on NLDB 2017 can be found at http://conferences.hec.ulg.ac.be/~nldb2017/.
*** Important Dates ***
Abstract submission: January 29, 2017 (23h59 Hawaii Time)
Full paper submission: February 5, 2017 (23h59 Hawaii Time)
Paper notification: March 13, 2017 (23h59 Hawaii Time)
Camera-ready deadline: April 3, 2017 (23h59 Hawaii Time)
*** Conference at a Glance ***
NLDB 2017 invites researchers from academia and industry to submit their papers on recent, unpublished research that addresses theoretical aspects, algorithms and architectures of NLP applications in Information Systems (IS). Papers describing creation of resources, as well as survey and discussion papers, are also welcomed.
For its 22nd edition, we explicitly solicit submissions on recent advances in NLP, including trendsetting and relevant topics as neural language models and argumentation mining. Specifically, we encourage submissions dealing with the following topics:
Argumentation Mining and Applications
- Automatic detection of argumentation components and relationships
- Creation of resources, e.g., annotated corpora, treebanks and parsers
- Integration of NLP techniques with formal, abstract argumentation structures, e.g., Toulmin model
- Argumentation mining from legal texts and scientific articles
- Applications, e.g., in opinion mining/sentiment analysis
- Neural language models
Deep Learning and Word2Vec
- Deep learning and Word2Vec applications, e.g., opinion mining, text summarization, machine translation
- Development of novel deep learning architectures and algorithms
- Parallel computation techniques and GPU programming for neural language models
NLP Applications in IS and in Social Media and Web Analytics
- Machine translation
- Plagiarism detection
- Opinion mining/sentiment analysis, detection of fake reviews
- Information extraction: NER, event detection, term and semantic relationship extraction
- Text summarization
- Text classification and clustering
- Corpus analysis
- Language detection
- Robust NLP methods for sparse, ill-formed texts
Question Answering (QA)
- Natural language interfaces to databases
- QA using web data
- Multi-lingual QA
- Non-factoid QA (how/why/opinion questions, lists)
- Geographical QA
- QA corpora and training sets
- QA over Linked Data (QALD)
Semantic Web, Open Linked Data, and Ontologies
- Ontology learning and alignment
- Ontology population
- Ontology evaluation
- Querying ontologies and Linked Data
- Semantic tagging and classification
- Ontology-driven NLP
Natural Language in Conceptual Modeling
- Analysis of natural language descriptions
- Terminological ontologies
- Consistency checking
- Metadata creation and harvesting
- Ontology-driven systems integration
- Natural language and ubiquitous Computing
Pervasive computing, embedded, robotic and mobile applications
- NLP techniques for Internet of Things (IoT)
- NLP techniques for ambient intelligence
*** Submission Information ***
All accepted papers will be included in Lecture Notes in Computer Science (LNCS) Springer proceedings of the conference, and, therefore, must comply with the LNCS format (http://www.springer.de/comp/lncs/authors.html).
Submitted papers can be of 4 types:
- Long papers (max. 12 pages, including references)
- Short papers (max. 6 pages, including references)
- Poster papers (max. 4 pages, including references)
- Demo papers (max. 4 pages, including references)
Please note that the program committee may decide to accept some long papers as short papers or poster/demo papers, depending on the content quality. The same applies to short papers, which can be accepted as poster/demo contributions.
Manuscripts not submitted in the LNCS style or having more than the max. number of pages will not be reviewed and thus automatically rejected. The papers need to be original and not submitted or accepted for publication in any other workshop, conference, or journal. Authors must submit their manuscripts (in PDF) via EasyChair (https://www.easychair.org/conferences/?conf=nldb2017). Submission via other means (e.g., emails) will be rejected.
Important: We plan to publish extended versions of a selection of the best papers after the conference in the Data & Knowledge Engineering journal as a special issue.
*** Organization ***
- Flavius Frasincar, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Nguyen Le Minh, Japan Advanced Institute of Science and Technology, Japan
- Ashwin Ittoo, University of Liège, Belgium
- Elisabeth Métais, Conservatoire National des Arts et Métiers (CNAM), France
Other members of the organization, including the Program Committee, can be found at http://conferences.hec.ulg.ac.be/~nldb2017/organization/.
Date: Tue, 29 Nov 2016 11:32:00 +0000
From: Anne-Sophie Bories <a.bories at unibas.ch>
Subject: Plotting Poetry and more
On Mechanically-enhanced Reading
University of Basel
5-6-7 October, 2017
Confirmed plenary speakers:
Franco Moretti (Stanford Literary Lab)
Valérie Beaudouin (Telecom-Paris-Tech)
Anne-Sophie Bories (Basel University)
Hugues Marchal (Basel University)
Gérald Purnelle (Liège University)
Call for papers:
In 1917, commenting on the rise of new media, Apollinaire urged for “plotting/mechanising (“machiner”) poetry as has been done for the world”. A century later, the slogan’s rich metaphor is made all the sharper with the new technologies’ emergence in literary studies. What role have machines taken up in text reading? What do they teach us about the mechanics of poetry? What mechanical and strategic devices are we developing, with what results?
We are producing all sorts of computing and statistical apparatuses to describe and analyse metre, style and poeticity. We entrust them with part of our research to gain in speed and/or power, escape the physical boundaries of what our mind can embrace, rethink the usual questions and address new ones previously out of reach of traditional readings. Statistical analyses, digital corpuses, miscellaneous inventories shed light upon literature and provide our interpretations with the physical evidence they had to do without so far, but they in turn raise hermeneutic challenges.
To apply mechanical processes to the reading of texts is to raise the question of poeticity. Is it to be found in the measurable sum of artfully assembled processes, or does it escape normalisation efforts? Reading machines, by allowing a distant vision, measure phenomena that a natural reading would not detect, thus questioning the role of such invisible features in readers’ perception. Jacobson’s poetic function has objective linguistic features at its centre, but shall its efficiency be reduced to that of a machine, with levers and pulleys we can take apart?
Finally, the machine carries some notion of dehumanisation of the processes where it replaces us, and symmetrically, we readily adopt an anthropomorphic perception of it. Its use questions the usefulness and legitimacy of adopting “non-human” readings to access a fundamentally “human” material. Must the literary scholar, whose object is not a natural phenomenon, meet the burden of proof, or can one rely on intuitions? How shall mechanically enhanced “readings” and more traditional ones be linked together?
We are keen to gather scholars wishing to show computing or statistical tools they develop to raise questions in poetics, metrics, and stylistics. Devices that did not yield the expected results, provided their shortcomings provide an interesting insight, are welcome too.
Possible themes could include, but are not limited to:
• metrical analysis;
• poeticity and computer tools;
• “distant reading” and literary reading;
• computer-assisted interpretation;
• visual representations of poetry;
• History of reading machines and perspectives;
• possibility of symbiosis between human reader and non-human apparatus.
We welcome abstracts for papers about poetic texts, versified or not, or even texts outside the poetry genre provided that machines are being used to explore their poeticity. Papers of 25 minutes may bear on corpora from any time and in any language, but shall be delivered in English or French.
Abstract (300 words) are to be sent no later than 1st March 2017 to:
Anne-Sophie Bories (a.bories at unibas.ch)<mailto:a.bories at unibas.ch)>,
Gérald Purnelle (Gerald.Purnelle at ulg.ac.be)<mailto:Gerald.Purnelle at ulg.ac.be)>,
Hugues Marchal (hugues.marchal at unibas.ch)<mailto:hugues.marchal at unibas.ch)>.
Camille Bloomfield (Université Paris 13)
Benoît de Cornulier (Université de Nantes)
Eliane Delente (Université de Caen)
Elena González-Blanco García (UNED, Madrid)
Christian Hänggi (Universität Basel)
Véronique Magri (Université de Nice-Sofia Antipolis)
Véronique Montémont (Université de Lorraine – ATILF)
Manuela Rossini (Universität Basel)
Christof Schöch (Universität Würzburg)
Levente Seláf (Eötvös Loránd University)
Numa Vittoz (Universität Zürich)
Dr. Anne-Sophie Bories
Marie Heim-Vögtlin Postdoctoral Fellow
+41 (0)61 207 12 70
+41 (0)78 831 19 45
a.bories at unibas.ch<mailto:a.bories at unibas.ch>
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