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

@ ACL 2018, Melbourne, Australia, July 20, 2018
ECONLP 2018 - Workshop Description V07, PDF 395KB, Update: 2018-07-05

Workshop Programme

09:00–09:30

Introduction to the ECONLP Workshop
Udo Hahn

09:30–10:00

Economic Event Detection in Company-Specific News Text
Gilles Jacobs, Els Lefever and Véronique Hoste

10:00–10:30

Causality Analysis of Twitter Sentiments and Stock Market Returns
Narges Tabari, Piyusha Biswas, Bhanu Praneeth, Armin Seyeditabari, Mirsad Hadzikadic and Wlodek Zadrozny

10:30–11:00

Morning Coffee Break

11:00–11:20

A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
Sebastian G.M. Händschke, Sven Buechel, Jan Goldenstein, Philipp Poschmann, Tinghui Duan, Peter Walgenbach and Udo Hahn

11:20–11:40

Word Embeddings-Based Uncertainty Detection in Financial Disclosures
Christoph Kilian Theil, Sanja Štajner and Heiner Stuckenschmidt

11:40–12:00

A Simple End-to-End Question Answering Model for Product Information
Tuan Lai, Trung Bui, Sheng Li and Nedim Lipka

12:00–14:00

Lunch Break

14:00–14:20

Sentence Classification for Investment Rules Detection
Youness Mansar and Sira Ferradans

14:20–14:40

Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain
Tobias Daudert, Paul Buitelaar and Sapna Negi

14:40–15:00

Implicit and Explicit Aspect Extraction in Financial Microblogs
Thomas Gaillat, Bernardo Stearns, Gopal Sridhar, Ross McDermott, Manel Zarrouk and Brian Davis

15:00–15:20

Unsupervised Word Influencer Networks from News Streams
Ananth Balashankar, Sunandan Chakraborty and Lakshminarayanan Subramanian

15:30–16:00

Afternoon Coffee Break

16:00–16:30

Discussion and Wrap-up

16:30–17:30

Poster Session - All of the Papers Presented at the Workshop

Comitees

Organizer	Institution	E-Mail
Udo Hahn (chair)	Friedrich-Schiller-Universität Jena, Germany	udo.hahn@uni-jena.de
Ming-Feng Tsai	National Chengchi University, Taiwan	mftsai@nccu.edu.tw
Véronique Hoste	Ghent University, Belgium	veronique.hoste@ugent.be

Program Comittee	Institition	E-Mail
Sven Buechel	FSU Jena, Germany	sven.buechel@uni-jena.de
Erik Cambria	Nanyang Technological U, Singapore	cambria@ntu.edu.sg
Philipp Cimiano	U Bielefeld, Germany	cimiano@cit-ec.uni-bielefeld.de
Xiao Ding	Harbin Institute of Technology, China	xding@ir.hit.edu.cn
Junwen Duan	Harbin Institute of Technology, China	jwduan@ir.hit.edu.cn
Flavius Frasincar	Erasmus U Rotterdam,The Netherlands	frasincar@ese.eur.nl
Petr Hájek	U Pardubice, Czech Republic	Petr.Hajek@upce.cz
Allan Hanbury	TU Wien, Austria	Hanbury@ifs.tuwien.ac.at
Pekka Malo	Aalto U, Finland	pekka.malo@aalto.fi
Viktor Pekar	U Birmingham, UK	v.pekar@bham.ac.uk
Paul Rayson	Lancaster U, UK	p.rayson@lancaster.ac.uk
Samuel Rönnqvist	Åbo Akademi U, Turku, Finland	sronnqvi@abo.fi
Kiyoaki Shirai	Japan Advanced Institute of Science and Technology (JAIST), Japan	kshirai@jaist.ac.jp
Padmini Srinivasan	U of Iowa, Iowa City, IA, USA	padmini-srinivasan@uiowa.edu
Chuan-Ju Wang	Academia Sinica, Taiwan	cjwang@citi.sinica.edu.tw
Yue Zhang	Singapore U of Technology and Design, Singapore	yue_zhang@sutd.edu.sg

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)

Submission information

Two types of papers are solicited: 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 unlimited but sensible pages for references. Final camera-ready versions will be allowed an additional page of content to address reviewers’ comments. All submissions should be in PDF format (using ACL 2018 style sheets for the main conference; see ACL 2018 style sheets at current CfP and made through the Softconf website set up for this workshop (softconf ACL2018 ECONLP).

Key Dates (several extensions)

Deadline for paper submission: 24 April 2018 (at 11:59 p.m., anywhere on Earth (UTC -12))

Notification of acceptance: 20 May 2018

Camera-ready version due: 3 June 2018

Workshop: 20 July 2018

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