STIL (Symposium in Information and Human Language Technology) is the bi-annual Language Technology event supported by the Brazilian Computer Society (SBC) and by the Brazilian Special Interest Group on Natural Language Processing (CE-PLN).

In 2015, it will be held in conjunction with both BRACIS 2015 (Brazilian Conference on Intelligent Systems), the combination of the Brazilian Symposium on Artificial Intelligence (SBIA), and ENIAC 2015 (Encontro Nacional de Inteligência Artificial e Computacional).

STIL will have the following collocated events: IV Workshop on Portuguese Description and IV Student Workshop on Information and Human Language Technology (TILic).

The conference has a multidisciplinary nature and covers a broad spectrum of disciplines related to Human Language Technology, such as
Linguistics, Computer Science, Psycholinguistics, Information Science, among others. It aims at bringing together both academic and industrial participants working on those areas.

STIL 2015 welcomes research work in human language technology in general (and not only Portuguese) in various fields. Topics of interest include, but are not limited to:

– Natural Language Processing Applications
– Natural Language Resources & Tools
– User Studies and Evaluation Methods
– Corpus Linguistics
– Phonology/Morphology, Tagging and Chunking, Word Segmentation
– Terminology, Lexicology and Lexicography
– Lexical Semantics
– Grammar Formalisms, Syntax and Parsing
– Semantics, Semantic Representations and Semantic Parsing
– Discourse, Dialogue and Pragmatics
– Information Extraction & Retrieval
– Question Answering
– Human and Machine Translation, Multilinguality
– Summarization and Generation
– Sentiment Analysis and Opinion Mining
– Text Classification
– Text/Web Mining
– Spoken Language Processing
– Statistical and Machine Learning Methods for Language Processing
– Semantic web
– Ontologies
– Natural language interfaces
– Computer-aided writing tools
– Psycholinguistics
– Information filtering and retrieval
– Digital libraries
– Document and knowledge management
– Knowledge representation and modeling

Prof. Alexandre Rademaker (EMap-FGV/IBM research)
Profa. Cláudia Freitas (PPGEL/PUC-Rio)

Prof. Carlos Augusto Prolo (UFRN, Brazil)