[kdd] EcoNLP 2021

[Amanda Stent]

After the successful launch of the Economics and Natural Language Processing
(ECONLP) workshop at ACL 2018 in Melbourne, Australia and the follow-up
event
at EMNLP-IJCNLP 2019 in Hong Kong, China, the third edition of ECONLP will
be
run at EMNLP 2021.

ECONLP addresses the increasing relevance of NLP for regional, national and
international economy, both in terms of already operational language
technology products and systems, and newly emerging methodologies and
techniques reflecting the requirements at the intersection of economics and
NLP. The focus of the workshop will be on how NLP influences business
relations and procedures, economic transactions, and the roles of human and
computational actors involved in commercial activities.

Workshop Organizers:

• Udo Hahn Friedrich-Schiller-Universität Jena,
Germany udo.hahn at uni-jena.de [1]
• Véronique Hoste   Ghent University, Belgium veronique.hoste at ugent.be
[2]
• Amanda Stent  Bloomberg, USA  astent at bloomberg.com [3]

Important Dates:

• Submission Deadline: August 25
• Acceptance Notification: September 15
• Camera-Ready:         September 25
• Workshop day:         November 11 @ EMNLP 2021

Call for papers:

We invite two types of original and unpublished works: Long papers (8 pages)
should describe solid results with strong experimental, empirical or
theoretical/formal backing, short papers (4 pages) should describe work in
progress where preliminary results have already been worked out. Accepted
papers will appear in the workshop proceedings. All papers are allowed an
unlimited but sensible number of references. Final camera-ready versions
will
be allowed an additional page of content to address reviewers’ comments.
All submissions must be anonymized, in PDF format (using the EMNLP 2021
style
sheets for the main conference; see
https://2021.emnlp.org/call-for-papers/style-and-formatting [4]) and must be
made through the Softconf website set up for this workshop
(https://www.softconf.com/emnlp2021/ECONLP/ [5]).

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 and mass media
monitoring, summarizing reviews, classifying and mining complaint messages
and other (non)verbal types of customer reactions to products or services
- NLP-based customer analytics, e.g., client profiling, tracking
product/company preferences, screening customer reviews or complaints,
identifying high-influentials in economy-related communication networks
- NLP-based organization/enterprise analytics (e.g., tracing and
pro-actively
altering social images of organizational actors, risk prediction, fraud
analysis, predictive analysis of annual business, sustainability and
auditing
reports)
- NLP-based analysis of macro-economic phenomena in which national economies
and the (inter)national banking system (IMF, Fed, PBoC, ECB) play an
influential role
- Market sentiments and emotions as evident from consumers’ and
enterprises’ verbal behavior and their communication strategies about
products and services
- Competitive intelligence services based on NLP tooling
- Relationship and interaction between quantitative (structured) economic
data (e.g., contained sales databases and associated time series data) and
qualitative (unstructured verbal) economic data (press releases, newswire
streams, social media contents, etc.)
- Information management based on the content-based organization, packaging
and archiving of verbal communication streams of organizations and
enterprises (emails, meeting minutes, business letters, internal reporting,
etc.)
- Credibility and trust models for business agents involved in the economic
process (e.g., as traders, sellers, advertisers) extracted from text/opinion
mining their communication behavior (including historic legacy data)
- Deception or fake information recognition related to economic objects
(such
as products, advertisements, etc.) or economic actors (such as industries,
companies, etc.), including opinion spam targeting or emanating from
economic
actors and processes
- Verbally fluent software agents (chatbots for sales and marketing) as
virtual actors in economic processes serving business interests, e.g.,
embodying models of persuasion, information biases, fair trading
- Enterprise search engines (e-commerce, e-marketing)
- Consumer search engines, market monitors, product/service recommender
systems
- Client-supplier interaction platforms (e.g., portals, helps desks,
newsgroups) and transaction support systems based on written or spoken
natural language communication
- Multi-media and multi-modality interaction platforms, including
written/spoken language channels, supporting economic processes
- 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)
- Text generation in economic domains, e.g., review generation, complaint
response generation
- Ontologies and knowledge graphs for economics and adaptation of
general-domain 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,
etc.) and their usage for NLP (e.g., classification, filtering, etc.)
- Dedicated software resources for economic NLP (e.g., NER taggers,
sublanguage parsers, pipelines for processing verbale data from economic
discourse)

Looking forward to your contributions at ECONLP 2021!

Read more:
https://www.aclweb.org/portal/content/3rd-workshop-economics-and-natural-language-processing-0

[1] mailto:udo.hahn at uni-jena.de
[2] mailto:veronique.hoste at ugent.be
[3] mailto:astent at bloomberg.com
[4] https://2021.emnlp.org/call-for-papers/style-and-formatting
[5] https://www.softconf.com/emnlp2021/ECONLP/
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