ECONLP 2018 - 1st Workshop on Economics and Natural Language Processing

The workshop addresses the increasing relevance of natural language processing (NLP) for regional, national and international economy, both in terms of already launched language technology products and systems, as well as new methodologies and techniques emerging in interaction with the paradigm of Computational Social Science. The focus of the workshop is on the many ways, how NLP alters business relations and procedures, economic transactions, and the roles of human and computational actors involved in commercial activities.
Papers submitted to this workshop should address (not excluding other topic areas of relevance for the workshop theme):
NLP-based (stock) market analytics, e.g., prediction of economic performance indicators (trend prediction, performance forecasting, etc.), by analyzing verbal statements of enterprises, businesses, companies, and associated legal or administrative actors
NLP-based product analytics, e.g., based on (social) media monitoring, summarizing reviews, classifying and mining complaint messages, etc.
NLP-based customer analytics, e.g., customer profiling, tracking product/company preferences, screening customer reviews or complaints, identifying high-influentials, etc.
NLP-based organization/enterprise analytics (e.g., tracing and altering social images, risk prediction, fraud analysis, analysis of business, sustainability and auditing reports)
Competitive intelligence services based on NLP tooling
Relationship and interaction between quantitative (structured) economic data (e.g., time series data) and qualitative (unstructured verbal) economic data (press releases, newswire streams, social media contents, etc.)
Information management based on organizing and archiving verbal communication of organizations and enterprises (emails, meeting minutes, business letters, etc.)
Credibility and trust models for agents in the economic process (e.g., trading, selling, advertising) based on text/opinion mining communication traces and legacy data
Verbally fluent software agents (language bots) as actors in economic processes serving business interests, e.g., embodying models of persuasion, fair trading, etc.
Enterprise search engines (e-commerce, e-marketing)
Consumer search engines, market monitors, product/service recommender systems
Customer-supplier interaction platforms (e.g., portals, helps desks, newsgroups) and transaction support systems based on natural language communication
Specialized modes of information extraction and text mining in economic domains, e.g., temporal event or transaction mining
Information aggregation from single sources (e.g., review summaries, automatic threading)
Ontologies for economics and adaptation of lexicons for economic NLP
Corpora and annotations policies (guidelines, metadata schemata, etc.) for economic NLP
Economy-specific text genres (business reports, sustainability reports, auditing documents, product reviews, economic newswire, business letters, law documents, etc.) and their implications for NLP
Dedicated language resources for economic NLP (e.g., lNER taggers, sublanguage parsers, pipelines for processing economic discourse)