LexInfo feature collection

Dear all,

in the course of the last FrAC telcos, we identified some interest for  
discussing aspects of multimodality. Even though these are not the focus  
of the FrAC module, we decided to collect features relevant for this (and  
for other domains) for

(a) a future discussion within a designated multimodality module (beyond  
OntoLex-FrAC), and
(b) studying them with respect to implications they might have for  
modelling frequency, attestation, embedding and similarity (within  
OntoLex-FrAC)

As or the latter group, this includes features for frequency, derived  
frequency measurements (average, standard deviation), "neighborhood"  
(collocation?) and "iconicity" (similarity) scores, but there may be more.  
As for the former group, we have begun discussing sign languages and  
multimodality, but just as a use case. As we expect the development of a  
multimodality module in the longer perspective, these will serve to guide  
future discussions.

As discussed at the last FrAC telco, I set up a spreadsheet to collect  
such data. Please find it under
https://docs.google.com/spreadsheets/d/18D3SBxoDbqhiaDYk3h-qb-v_oZy-k9AQepKj6BOTi6A/edit?usp=sharing.  
This link enables commenting, if you want direct edit access, drop me a  
line.

Best regards,
Christian
-- 
Christian Chiarcos
Applied Computational Linguistics
Johann Wolfgang Goethe Universität Frankfurt a. M.
60054 Frankfurt am Main, Germany

office: Robert-Mayer-Str. 10, #401b
mail: chiarcos@informatik.uni-frankfurt.de
web: http://acoli.cs.uni-frankfurt.de
tel: +49-(0)69-798-22463
fax: +49-(0)69-798-28931

Received on Friday, 16 October 2020 13:39:30 UTC