CoNLL 2008 START Conference Manager    

Twelfth Conference on Computational Natural Language Learning

CoNLL 2008

Submission Page


To revise a previous submission, please type in its passcode below, and press the ENTER button.

   

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To make a new submission, please fill in the form below, and then press the submit button at the bottom.

Important: CoNLL 2008 is running a blind review process. In preparing your manuscript, do not include any information which could reveal your identity, or that of your co-authors. The title section of your manuscript should not contain any author names, email addresses, or affiliation status. If you do include any author names on the title page, your submission will be automatically rejected. In the body of your submission, you should eliminate all direct references to your own previous work. That is, avoid phrases such as "this contribution generalizes our results for XYZ". Also, please do not disproportionately cite your own previous work. In other words, make your submission as anonymous as possible. We need your cooperation in our effort to maintain a fair, blind reviewing process - and to consider all submissions equally.


Title of Submission:  


List of Authors:

Please enter the complete list of authors for your submission, in the order in which they will appear on the abstract. You can add as many author slots as you want, to accommodate the total number of authors for your submission.

First name(s) Last name Email Affiliation
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#3
#4
#5
#6
#7
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Contact Information:

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Submitted Elsewhere?

Is the paper being submitted now, or will it be submitted in the future to another conference/workshop? If so, put the name of the other conference/workshop in the box below. If the paper is being submitted only to CoNLL, leave the box blank.


Abstract:

Type (or cut-and-paste) a short ASCII abstract for your submission. It should not include the author/title information, which was already entered above. You must enter plain ASCII text only, and you may not exceed 300 words.

 


Submit Paper:

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Keywords/Topics:

Please use the list of topics below to characterize your submission. Check all categories that seem appropriate.

Parsing
Machine Translation
Morphology
Language Acquisition
Evolution of Language
Machine Learning Methods
Summarization
Speech Processing
Phonology
Syntax
Semantics
Semantic Role Labeling
Language Modeling
Question Answering
Discourse Processing
Segmentation
Tagging
Information Retrieval
Textual Entailment
Entity Resolution
Unsupervised Learning
 
 



  
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