Call for Papers
The 11th International Conference on the Computational Processing of Portuguese
The International Conference on Computational Processing of Portuguese (PROPOR) is the main event in the area of Human Language Processing that is focused on theoretical and technological issues of written and spoken Portuguese. The meeting has been a very rich forum for the exchange of ideas and partnerships for the research communities dedicated to the automated processing of Portuguese, promoting the development of methodologies, resources and projects that can be shared among researchers and practitioners in the field. The conference will consist of 3 days of paper presentations, special tracks and workshops.
PROPOR is in its 11th edition and it has been hosted in Brazil and in Portugal: Lisbon/PT (1993), Curitiba/BR (1996), Porto Alegre/BR (1998), Évora/PT (1999), Atibaia/BR (2000), Faro/PT (2003), Itatiaia/BR (2006), Aveiro/PT (2008), Porto Alegre/BR (2010) and Coimbra/PR (2011).
Topics of interest:
We invite submissions of papers describing work on any topic of language and speech processing of Portuguese from the industry or academia, including but not limited to:
Human speech production, perception and communication
Human speech production
Human speech and sound perception
Physiology and pathology of spoken language
Paralinguistic and nonlinguistic cues (e.g. emotion and expression)
Linguistic Description and Theories
Phonology and phonetics, prosody (e.g., production, perception, modeling)
Syntactic, semantic and anaphoric phenomena
Natural Language Processing Tasks
Parsing, tagging, chunking and segmentation
Annotation, evaluation, semantic role labeling
Grammar induction, sub categorization acquisition
Sentiment analysis and opinion mining
Natural Language Processing Applications
Word sense disambiguation
Spoken language generation and synthesis
Speech and speaker recognition
Spoken language understanding
Spoken language interfaces and dialogue systems
Systems for information retrieval and information extraction
Systems for speech-speech translation
Applications for aged and handicapped people
Applications for learning and education
Resources, standardization and evaluation
Spoken language resources, annotation and tools
Spoken language evaluation and standardization
NLP resources, annotation and tools
NLP evaluation and standardization
Language and Speech processing in academic disciplines
Speech and Hearing sciences, Health, Biology
Linguistics, Psychology, Education
Full and short paper submission deadline: March 26, 2014 11:50pm BRT (extended)
Notification of paper acceptance or rejection: May 2, 2014 (extended)
Camera-ready papers due: May 16, 2014 (extended)
Conference: October 6,7,8, 2014
Submissions should describe original, unpublished work. Authors are invited to submit two kinds of papers:
Full papers - Reporting substantial and completed work, especially those that may contribute in a significant way to the advancement of the area - wherever appropriate, concrete evaluation results should be included.
Short papers - Reporting ongoing work, position papers and potential ideas to be discussed.
Authors will be able to express their preference for full/short papers but the final decision is on the program chairs. Short papers may be selected for oral or poster presentation and should be up to 5 pages of content plus one page (maximum) of references (only). Full papers will be presented in an oral session and should be up to 10 pages of content and 2 additional pages of references (only).
Submissions should be written in English.
As in previous PROPOR editions, full papers are expected to be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Selected short papers may be taken under consideration for LNAI publication as well. Papers must be submitted in PDF, following the Springer LNAI format guidelines.
Submissions will be evaluated by at least three reviewers. As reviewing will be blind, the submission should not include the authors' names and affiliations, neither contain self-references that reveal identity, like, "We previously showed (Smith, 1991) ...". Instead, use citations such as "Smith (1991) previously showed ...". Submissions that do not conform to these requirements will be rejected without review. Separate author identification information is required as part of the submission process.