<div dir="ltr"><blockquote type="cite"><div><div>After the successful launch of the Economics and Natural Language Processing<br>(ECONLP) workshop at ACL 2018 in Melbourne, Australia and the follow-up event<br>at EMNLP-IJCNLP 2019 in Hong Kong, China, the third edition of ECONLP will be<br>run at EMNLP 2021.<br><br>ECONLP addresses the increasing relevance of NLP for regional, national and<br>international economy, both in terms of already operational language<br>technology products and systems, and newly emerging methodologies and<br>techniques reflecting the requirements at the intersection of economics and<br>NLP. The focus of the workshop will be on how NLP influences business<br>relations and procedures, economic transactions, and the roles of human and<br>computational actors involved in commercial activities.<br><br>Workshop Organizers:<br><br>•<span style="white-space:pre-wrap"> </span>Udo Hahn<span style="white-space:pre-wrap">
</span><span style="white-space:pre-wrap"></span>Friedrich-Schiller-Universität Jena,<br>Germany<span style="white-space:pre-wrap"> </span><a href="mailto:udo.hahn@uni-jena.de" target="_blank">udo.hahn@uni-jena.de</a> [1]<br>•<span style="white-space:pre-wrap"> </span>Véronique Hoste <span style="white-space:pre-wrap">
</span>Ghent University, Belgium<span style="white-space:pre-wrap">
</span><span style="white-space:pre-wrap"></span><span style="white-space:pre-wrap"></span><a href="mailto:veronique.hoste@ugent.be" target="_blank">veronique.hoste@ugent.be</a><br>[2]<br>•<span style="white-space:pre-wrap"> </span>Amanda Stent <span style="white-space:pre-wrap">
</span>Bloomberg, USA<span style="white-space:pre-wrap"> </span> <span style="white-space:pre-wrap"></span><span style="white-space:pre-wrap"></span><a href="mailto:astent@bloomberg.com" target="_blank">astent@bloomberg.com</a> [3]<br><br>Important Dates:<br><br>•<span style="white-space:pre-wrap"> </span>Submission Deadline: <span style="white-space:pre-wrap"></span><span style="white-space:pre-wrap"></span>August 25<br>•<span style="white-space:pre-wrap"> </span>Acceptance Notification: <span style="white-space:pre-wrap"></span>September 15<br>•<span style="white-space:pre-wrap"> </span>Camera-Ready: <span style="white-space:pre-wrap">
</span><span style="white-space:pre-wrap"></span> September 25<br>•<span style="white-space:pre-wrap"> </span>Workshop day: <span style="white-space:pre-wrap">
</span><span style="white-space:pre-wrap"></span> November 11 @ EMNLP 2021<br><br>Call for papers:<br><br>We invite two types of original and unpublished works: Long papers (8 pages)<br>should describe solid results with strong experimental, empirical or<br>theoretical/formal backing, short papers (4 pages) should describe work in<br>progress where preliminary results have already been worked out. Accepted<br>papers will appear in the workshop proceedings. All papers are allowed an<br>unlimited but sensible number of references. Final camera-ready versions will<br>be allowed an additional page of content to address reviewers’ comments.<br>All submissions must be anonymized, in PDF format (using the EMNLP 2021 style<br>sheets for the main conference; see<br><a href="https://2021.emnlp.org/call-for-papers/style-and-formatting" target="_blank">https://2021.emnlp.org/call-for-papers/style-and-formatting</a> [4]) and must be<br>made through the Softconf website set up for this workshop<br>(<a href="https://www.softconf.com/emnlp2021/ECONLP/" target="_blank">https://www.softconf.com/emnlp2021/ECONLP/</a> [5]).<br><br>Papers submitted to this workshop should address (not excluding other topic<br>areas of relevance for the workshop theme):<br><br>- NLP-based (stock) market analytics, e.g., prediction of economic<br>performance indicators (trend prediction, performance forecasting, etc.), by<br>analyzing verbal statements of enterprises, businesses, companies, and<br>associated legal or administrative actors<br>- NLP-based product analytics, e.g., based on social and mass media<br>monitoring, summarizing reviews, classifying and mining complaint messages<br>and other (non)verbal types of customer reactions to products or services<br>- NLP-based customer analytics, e.g., client profiling, tracking<br>product/company preferences, screening customer reviews or complaints,<br>identifying high-influentials in economy-related communication networks<br>- NLP-based organization/enterprise analytics (e.g., tracing and pro-actively<br>altering social images of organizational actors, risk prediction, fraud<br>analysis, predictive analysis of annual business, sustainability and auditing<br>reports)<br>- NLP-based analysis of macro-economic phenomena in which national economies<br>and the (inter)national banking system (IMF, Fed, PBoC, ECB) play an<br>influential role<br>- Market sentiments and emotions as evident from consumers’ and<br>enterprises’ verbal behavior and their communication strategies about<br>products and services<br>- Competitive intelligence services based on NLP tooling<br>- Relationship and interaction between quantitative (structured) economic<br>data (e.g., contained sales databases and associated time series data) and<br>qualitative (unstructured verbal) economic data (press releases, newswire<br>streams, social media contents, etc.)<br>- Information management based on the content-based organization, packaging<br>and archiving of verbal communication streams of organizations and<br>enterprises (emails, meeting minutes, business letters, internal reporting,<br>etc.)<br>- Credibility and trust models for business agents involved in the economic<br>process (e.g., as traders, sellers, advertisers) extracted from text/opinion<br>mining their communication behavior (including historic legacy data)<br>- Deception or fake information recognition related to economic objects (such<br>as products, advertisements, etc.) or economic actors (such as industries,<br>companies, etc.), including opinion spam targeting or emanating from economic<br>actors and processes<br>- Verbally fluent software agents (chatbots for sales and marketing) as<br>virtual actors in economic processes serving business interests, e.g.,<br>embodying models of persuasion, information biases, fair trading<br>- Enterprise search engines (e-commerce, e-marketing)<br>- Consumer search engines, market monitors, product/service recommender<br>systems<br>- Client-supplier interaction platforms (e.g., portals, helps desks,<br>newsgroups) and transaction support systems based on written or spoken<br>natural language communication<br>- Multi-media and multi-modality interaction platforms, including<br>written/spoken language channels, supporting economic processes<br>- Specialized modes of information extraction and text mining in economic<br>domains, e.g., temporal event or transaction mining<br>- Information aggregation from single sources (e.g., review summaries,<br>automatic threading)<br>- Text generation in economic domains, e.g., review generation, complaint<br>response generation<br>- Ontologies and knowledge graphs for economics and adaptation of<br>general-domain lexicons for economic NLP<br>- Corpora and annotations policies (guidelines, metadata schemata, etc.) for<br>economic NLP<br>- Economy-specific text genres (business reports, sustainability reports,<br>auditing documents, product reviews, economic newswire, business letters,<br>etc.) and their usage for NLP (e.g., classification, filtering, etc.)<br>- Dedicated software resources for economic NLP (e.g., NER taggers,<br>sublanguage parsers, pipelines for processing verbale data from economic<br>discourse)<br><br>Looking forward to your contributions at ECONLP 2021!<br><br>Read more:<br><a href="https://www.aclweb.org/portal/content/3rd-workshop-economics-and-natural-language-processing-0" target="_blank">https://www.aclweb.org/portal/content/3rd-workshop-economics-and-natural-language-processing-0</a><br><br>[1] mailto:<a href="mailto:udo.hahn@uni-jena.de" target="_blank">udo.hahn@uni-jena.de</a><br>[2] mailto:<a href="mailto:veronique.hoste@ugent.be" target="_blank">veronique.hoste@ugent.be</a><br>[3] mailto:<a href="mailto:astent@bloomberg.com" target="_blank">astent@bloomberg.com</a><br>[4] <a href="https://2021.emnlp.org/call-for-papers/style-and-formatting" target="_blank">https://2021.emnlp.org/call-for-papers/style-and-formatting</a><br>[5] <a href="https://www.softconf.com/emnlp2021/ECONLP/" target="_blank">https://www.softconf.com/emnlp2021/ECONLP/</a></div></div></blockquote></div>