The Knowledge Resources for the Socio-Economic Sciences and Humanities workshop will be held in conjunction with the 11th biennial Recent Advances in Natural Language Processing conference (RANLP 2017) which will take place in September 4-8, 2017, in Varna, Bulgaria.
The KnowRSH workshop aims to provide a forum for researchers working on the integration and creation of knowledge resources for Socio-Economic Sciences and Humanities applications. In particular, KnowRSH aims at bringing together NLP researchers with historians, political scientists, philosophers, and researchers from infrastructure communities, such as CLARIN and DARIAH, ISKO and COST ENeL.
The workshop is endorsed by the ACL Special Interest Group on Language Technologies for the Socio-Economic Sciences and Humanities (SIGHUM), DARIAH-EU Working Group for Lexical Resources as well as COST ENeL .
Big cultural heritage data present an unprecedented opportunity for the humanities that is reshaping conventional research methods. However, digital humanities have grown past the stage where the mere availability of digital data was enough as a demonstrator of possibilities. Knowledge resource modeling, development, enrichment and integration is crucial for associating relevant information in pools of digital material which are not only scattered across various archives, libraries and collections, but they also often lack relevant metadata. Within this research framework, NLP approaches originally stemming from lexico-semantic information extraction and knowledge resource representation, modeling, development and reuse have a pivotal role to play.
From the NLP perspective, applications of knowledge resources for the Socio-Economic Sciences and Humanities present numerous interesting research challenges that relate among others to the development of historical lexico-semantic sources and annotated corpora, addressing ambiguity and variation in historical sources and the development of knowledge resources for NLP tool adaptation purposes, using NLP techniques for semantic interlinking, mapping, and integration of existing knowledge resources. Moreover, a recently renewed interest in linguistic linked data approaches to language resources presents both a challenge and an opportunity for NLP researchers working in the Socio-Economic Sciences and Humanities domains, for linking cultural heritage and humanities data sources to linguistic linked data information.
Topics of interest include, but are not limited to, the following: