ACL 2015 - 53rd Annual Meeting of the Association for Computational Linguistics

The 53rd Annual Meeting of the Association for Computational
Linguistics and The 7th International Joint Conference of the Asian
Federation of Natural Language Processing
Beijing, China, July 26-31
http://acl2015.org
The Association for Computational Linguistics and the Asian Federation of Natural Language Processing are pleased to announce that their joint meeting will take place in Beijing, China on July 26th to 31st, 2015. The conference invites the submission of long and short papers on substantial, original, and unpublished research in all aspects of automated language processing. As in recent years, some of the presentations at the conference will be of papers accepted for the Transactions of the ACL journal (http://www.transacl.org/). Note that the official publication date for papers at ACL 2015 will be one week before the conference starts.
ACL-IJCNLP 2015 has the goal of a broad technical program. Thus, ACL-IJCNLP 2015 invites papers in the following categories:
? Applications/tools
? Empirical/data-driven approaches (submissions reporting negative results of sensible experiments are also welcome)
? Resources and evaluation
? Theoretical
? Survey papers
ACL 2015 will use review forms tailored to the type of submission.
TOPICS
Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order):
? Dialogue and Interactive Systems
? Discourse, Coreference and Pragmatics
? Information Retrieval
? Information Extraction and Text Mining
? Language and Vision
? Language Resources and Evaluation
? Lexical Semantics and Ontology
? Linguistic and Psycholinguistic Aspects of CL
? Machine Translation
? Mathematical Linguistics, Grammar Formalisms
? Multimodal NLP
? Multilinguality
? NLP Applications and NLP-enabled Technology
? NLP for the Web and Social Media
? Phonology, Morphology and Word Segmentation
? Question Answering
? Semantics
? Sentiment Analysis and Opinion Mining
? Spoken Language Processing
? Statistical and Machine Learning Methods for NLP
? Summarization and Generation
? Syntax and Parsing
? Tagging and Chunking
? Topic Models for Language Processing