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


Proposal Draft (PDF, ~425KB)

Organizers:

Udo Hahn (chair) Friedrich-Schiller-Universität Jena, Germany
Ming-Feng Tsai National Chengchi University, Taiwan
Véronique Hoste Ghent University, Belgium

Description:

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)

Estimated audience: 30-50 attendees

Preferred venue: (1) ACL 2018, (2) COLING, (3) NAACL-HLT

Technical equipment needed: WLAN, projection device

Program Committee:

Khurshid Ahmad Trinity College, Dublin, Ireland
Sven Büchel
FSU Jena, Germany

Philipp Cimiano
U Bielefeld, Germany

Xiao Ding
Harbin Institute of Technology, China

Junwen Duan
Harbin Institute of Technology, China

Ronen Feldman Hebrew U of Jerusalem, Israel
Flavius Frasincar
Erasmus U Rotterdam,The Netherlands

Sunita Goel
Siena College, Loudonville, NY, USA

Petr Hájek
U Pardubice, Czech Republic

Qing Li
U of Hong Kong, China

Pekka Malo Aalto U, Finland

Dirk Neumann U Freiburg, Germany

Viktor Pekar U Birmingham, UK
Paul Rayson Lancaster U, UK

Samuel Rönnqvist Åbo Akademi U, Turku, Finland
Kiyoaki Shirai Japan Advanced Institute of Science and Technology (JAIST), Japan

Ankur Sinha Indian Institute of Management, Ahmedabad, India

Padmini Srinivasan U of Iowa, Iowa City, IA, USA

Chuan-Ju Wang Academia Sinica, Taiwan

Yue Zhang Singapore U of Technology and Design, Singapore

* : approval pending

Organizers' Research Interests, Areas of Expertise, and Experience in Organizing Workshops:

Udo Hahn Friedrich-Schiller-Universität Jena, Germany (chair)

Udo Hahn's research interests focus on NLP applications for the life sciences, mainly information extraction and text mining, organizational emotion analysis, knowledge integration and aggregation from structured and unstructured data (incl. text summarization), annotation science (active learning), ontology and multilingual terminology engineering, as well as software engineering for NLP. He has been co-organizing 10 workshops in total, among them three for ACL (workshops on Automatic Summarization @ ANLP-NAACL 2000, ACL 2002, and the BioNLP 2002 workshop @ ACL 2002), the KR-MED 2004 workshop @ KR 2004 (for AMIA), the SMBM 2005 and 2010 workshops on Semantic Mining in Biomedicine, the "UIMA for NLP" workshops @ LREC 2008 and LREC 2010.

Ming-Feng Tsai National Chengchi University, Taiwan (co-chair)

Ming-Feng Tsai is currently an associate professor in the Department of Computer Science at National Chengchi University (Taiwan). In 2006, he was at Microsoft Research Asia as a visiting student with the Web Search & Mining group, and was awarded by the research institution the "Best Intern of the Year". He received his Ph.D. degree from National Taiwan University in 2009. After receiving his Ph.D. degree, he worked at National University of Singapore as a research fellow, participating in a research project related to machine translation. In 2010, sponsored by Taiwan National Science Council, he joined the University of Illinois at Urbana-Champaign as a visiting scientist, working on a project associated with advanced Web search and mining. His research interests span the areas of information retrieval, machine learning, web search and mining, social network analysis, and natural language processing. He served as one of the international program chairs of TAAI 2013 and financial chair of ISMIR 2014. He also served as the section editor of Information Retrieval in the International Journal of Computational Linguistics and Chinese Language Processing.

Véronique Hoste Ghent U, Belgium

Prof. Veronique Hoste is Full Professor of Computational Linguistics and director of the LT3 Language and Translation Technology Team at Ghent University (www.lt3.ugent.be). She holds a PhD in computational linguistics from the University of Antwerp on Optimization Issues in machine learning of coreference resolution (2005). She has a strong expertise in machine learning of natural language, and more specifically in coreference resolution, word sense disambiguation, terminology extraction, text classification, classifier optimization, readability prediction, sentiment mining, economic event extraction and (implicit) sentiment analysis, etc. Veronique co-organized different workshops, as well as shared tasks on coreference resolution (2010), cross-lingual word sense disambiguation (2010 and 2013), L2 writing (2014), and multilingual aspect-based sentiment analysis (2016) on which she also published several articles.