We invite the submission of papers on all aspects of computational approaches to natural language learning, particularly interdisciplinary research combining cognitive aspects of language processing and machine learning, including, but not limited to:
Computational Learning Theory and Analysis of Language Learning
Computational Models of First, Second and Bilingual Language Acquisition
Computational Models of Language evolution and Change
Computational Psycholinguistics
Computational Simulation and Analysis of Psycholinguistic Findings
Data Resources, Techniques and Tools for Computational Modeling of Human Language Acquisition and Processing
Dialogue and Interactive Systems
Discourse and Coreference
Information Extraction
Information Retrieval, Question Answering
Investigations of Learning Methods (e.g. machine learning, biologically-inspired, active learning, hybrid models) from a Cognitive Perspective
Language Models, Segmentation
Lexical and Compositional Semantics
Linguistic Theories and Resources
Machine Learning for NLP
Machine Translation
Models of induction and Analogy in Linguistics
Morphological Analysis, POS Tagging and Sequence Labeling
Multilinguality and Cross-linguality
Multimodal and Grounded Language Processing
Narrative Understanding and Commonsense Reasoning
Natural Language Generation
Other NLP Applications
Sentiment Analysis and Opinion Mining
Spoken Language Processing
Summarization
Syntactic and Semantic Parsing
Text Mining