Information extraction and natural language processing
The Web is a vast and invaluable repository of information generated by users. The bulk of this information is in textual form, either as completely unstructured or as semi-structured text. Thus, Natural Language Processing and Information Extraction techniques are needed to extract, process, transform and interpret the knowledge web documents contain.
We invite original contributions on topics related to Natural Language Processing and in particular Information Extraction for the Web, including (but not limited to) :
- Structured data extraction from unstructured and semi-structured Web text
- Open information extraction
- Entity and relation extraction
- Ontology learning
- Web document representation and language modeling
- Sentiment and opinion analysis
- Analysis of user-generated content
- Summarization and generation of Web text
- Syntactic parsing of Web content
- Machine translation for or using Web data
- Language resources for and from the Web
- Text, web page and metadata clustering and classification
- Question answering
- Word sense disambiguation for the Web
- Multilinguality and the Web
- Domain and linguistic knowledge for or from the Web
- Scalable natural language processing for the Web
Program committee :
- Agirre, Eneko
- Alfonseca, Enrique
- Baldwin, Tim
- Biemann, Chris
- Chen, Zheng
- Chiticariu, Laura
- Cimiano, Philipp
- Clark, Stephen
- Daelemans, Walter
- De Melo, Gerard
- Eisenstein, Jacob
- Hu, Yunhua
- Jiang, Jing
- Kim, Su Nam
- Kozareva, Zornitsa
- Kurohashi, Sadao
- Mann, Gideon
- Manning, Chris
- Maosong, Sun
- Matsumoto, Yuji
- Mccarthy, Diana
- Mihalcea, Rada
- Moschitti, Alessandro
- Navigli, Roberto
- Ng, Vincent
- Okumura, Manabu
- Osborne, Miles
- Pado, Sebastian
- Pang, Bo
- Pasi, Gabriella
- Ponzetto, Simone Paolo
- Rosso, Paolo
- Schütze, Hinrich
- Soderland, Stephen
- Soroa, Aitor
- Stein, Benno
- Subramaniam, L Venkata
- Suchanek, Fabian
- Szpakowicz, Stan
- Van Durme, Benjamin
- Veale, Tony
- Velardi, Paola
- Weikum, Gerhard
- Weld, Daniel
- Zhang, Yan