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The SIGNLL Conference on Computational Natural Language Learning

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When :  2018-10-31

Where :  Brussels, Belgium

Submission Deadline :  2018-06-01

Categories :   NLP ,  Networks & Communications ,  Computational Science   

http://www.conll.org/

SIGNLL Conference on Computational Natural Language Learning(CoNLL 2018)

October 31- November 01, 2018, Brussels, Belgium

Scope & Topics

Language Learning is the primary focus of a entire subdiscipline of Psychology, viz. Psycholinguistics, and has always been an arena for experimentation in the Artificial Intelligence Machine Learning community. More recently still, relevant work is being pursued in the emerging connectionist movement, and Natural Language Learning (NLL) is in addition proving to be a natural outgrowth of current work in statistical, information-theoretic and corpus-based methods in Computational Linguistics.

Topics of Interest :

  • Language Models, Segmentation
  • Morphological Analysis, POS Tagging and Sequence Labeling
  • Syntactic and Semantic Parsing
  • Lexical and Compositional Semantics
  • Discourse and Coreference
  • Dialogue and Interactive Systems
  • Narrative Understanding and Commonsense Reasoning
  • Spoken Language Processing
  • Sentiment Analysis and Opinion Mining
  • Information Retrieval, Question Answering
  • Information Extraction
  • Text Mining
  • Summarization
  • Natural Language Generation
  • Machine Translation
  • Other NLP Applications
  • Multilinguality and Cross-linguality
  • Machine Learning for NLP
  • Multimodal and Grounded Language Processing
  • Linguistic Theories and Resources
  • Computational Psycholinguistics
  • Computational Models of Language evolution and Change
  • Computational Simulation and Analysis of Psycholinguistic Findings
  • Computational Learning Theory and Analysis of Language Learning
  • Computational Models of First, Second and Bilingual Language Acquisition
  • Data Resources, Techniques and Tools for Computational Modeling of Human
  • Language Acquisition and Processing
  • Investigations of Learning Methods (e.g. machine learning, statistical, symbolic, biologically-inspired, active learning, various hybrid models) from a
  • Cognitive Perspective
  • Models of induction and Analogy in Linguistics

Important Dates

Submission Deadline: June 01, 2018
Authors Notification: July 27, 2018
Final Manuscript Due: August 24, 2018

User Name : mark
Posted 07-03-2018 on 18:15:21 AEDT


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