• Submission deadline: February 11th, 2019
• Acceptance Notification Date: March 11th, 2019
• Camera-ready copies: March 22nd, 2019
• Workshop: April 14th, 2019

Claim Validation by Humans and Machines: Where We Are and the Road Ahead

Speaker: Prof. Iryna Gurevych, Technische Universität Darmstadt

Abstract: Claim validation is a highly demanding expert task which prevents the proliferation of mis-information. In the recent years, we have seen a rapidly increasing interest in this problem domain. This interest is due to both the task significance and the impressive advances in AI-/NLP-based approaches. The talk will present novel datasets and problem definitions and experimental results related to automated claim validation. Besides, it will discuss our recent work on open-domain argument retrieval and clustering for human claim validation. We will conclude by outlining some open challenges for future research.

Bio: Iryna Gurevych is a Professor in the Department of Computer Science at the Technische Universität Darmstadt, Germany. She is the founding Director of the UKP Lab an of the Research Training Group "Adaptive Preparation of Information from Heterogeneous Sources" (AIPHES), funded by the German Research Foundation. Iryna has a broad range of research interests in natural language processing, with a focus on computational argumentation, computational lexical semantics, question answering and summarization. She has recently served as the PC Co-Chair of ACL 2018 in Melbourne, Australia. Also, she co-founded and co-organized the workshop series "Collaboratively Constructed Semantic Resources and their Applications to NLP" and "Argument Mining". She co-authored the book "Linked Lexical Knowledge Bases: Foundations and Applications" (2016). She is the recipient of the Emmy Noether Early Career Award from the German Research Foundation (2007) and the interdisciplinary Lichtenberg Professorship Award by the Volkswagen Foundation (2008). Further information click here.

Automatic Media analysis: From monitoring to Insights

Speaker: Miguel Martinez, Chief Data Scientist at Signal Media

Abstract: One of the aspects of media analysis is brand monitoring which has traditionally focused on detecting and distributing every mention of a given brand in the media as quickly as possible. This monitoring aspect, which some companies such as Signal have automated using different IR and ML techniques, is critical for finding relevant information. However, retrieving these documents is not enough. Leaders in diverse organisations will use the knowledge derived from these relevant documents to change their decision making by understanding their risks, opportunities (e.g. Acquiring companies in distress or expanding to new territories), but this is not possible manually. Techniques to understand, organise and uncover the underlying insights that are hidden in the thousands of documents are needed.

This talk will focus on the media analysis space, the current monitoring approach (using Signal as an example) and the future challenges and opportunities in the insights space, showcasing different challenges in the space and that the IR community could support with.

Bio: Miguel Martinez is the co-founder and Chief Data Scientist of Signal, a growing UK company that analyses millions of news articles every day in real-time in order to improve business intelligence and decision making. During the last 6 years, Miguel has led the efforts to create and maintain the Signal Research team with strong university collaborations, with the main goal of transforming the best research principles, models and algorithms from academia into real, scalable products. Research interests include news processing, information retrieval, text analysis, natural language processing and evaluation, among others. He completed his PhD from Queen Mary University in 2014. During his time at Signal, the company has grown from 3 to more than 100 people in 3 continents and raised more than $30M. He has been awarded the Business Leader of Tomorrow award 2014 by Innovate UK and was included in the list of UK Business Innovators in 2016 by Bloomberg. Signal has won numerous awards, including the Fujitsu AI Innovator in the Lloyds National Business awards 2018 and the Hottest Enterprise SaaS or B2B in the Europas 2018. The team has also won the Best Demonstration award in ECIR’15 and they are the main organisers of the NewsIR workshop.

Download slides and photos .

09:00 – 09:10:	Introduction
09:10 – 09:50:	Keynote 1: Automatic Media analysis: From monitoring to Insights (Miguel Martinez-Alvarez)
09:50 – 10:10:	Automatic Recognition of Narrative Drama units: a structured learning approach (Roberto Basili, Danilo Croce , Vincenzo Lombardo, Eleonora Ceccaldi)
10:10 – 10:30:	Semantic Storytelling: Towards Identifying Storylines in Large Amounts of Text Content (Karolina Zaczynska, Georg Rehm, Julián Moreno)
10:30 – 11:00:	Coffee break
11:00 – 11:20:	NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning (Alessandro Antonucci, Vani K)
11:20 – 11:40:	Towards the Automatic Analysis of the Structure of News Stories (Riza Batista-Navarro, Iqra Zahid,Hao Zhang, Frank Boons)
11:40 – 12:00:	Automated Event Extraction Model for Linked Portuguese Documents (Kashyap Raiyani, Paulo Quaresma, Teresa Gonçalves, Vitor Nogueira)
12:00 – 12:30:	Poster Session
12:30 – 13:30:	Lunch break
13:30 – 14:10:	Keynote 2: Claim Validation by Humans and Machines: Where We Are and the Road Ahead (Iryna Gurevych)
14:10 – 14:30:	Steps Towards a System to Extract Formal Narratives from Text (Daniele Metilli,Valentina Bartalesi, Carlo Meghini)
14:30 – 14:50:	Textual Analysis for Radicalisation Narratives aligned with Social Sciences Perspectives (Ronald Denaux, Jose Manuel Gomez-Perez)
15:00 – 15:30:	Coffee break
15:30 – 15:50:	Dense vs. Sparse Representations for News Stream Clustering (Todor Staykovski, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov)
15:40 – 16:10:	Narrative detection in online patient communities (Anne Dirkson,Suzan Verberne, Wessel Kraaij)
16:10 – 16:30:	Extracting Evidence Summaries from Detective Novels (Aditya Motwani, Aayush Naik, Kamalakar Karlapalem)
16:30 – 17:00:	Demo showcase

Public demos

TopExNet
Topic Exploration in Entity-centric Networks of News Streams by Andreas Spitz, Satya Almasian, Michael Gertz from Heidelberg University
http://topexnet.ifi.uni-heidelberg.de

TanBih
News bias and media outlets profiles by Preslav Nakov and Qatar Computing Research Institute
http://www.tanbih.org

ArgumentSearch
Argumentation mining search engine by Iryna Gurevych and Technische Universität Darmstadt
http://argumentsearch.com

Agatha
Platform for Criminal Police Investigation by Kashyap Raiyani, Teresa Gonçalves, Paulo Quaresma, Vítor Beires Nogueira from University of Évora
http://www.agatha-osi.com/

YAKE Keyword Extraction
A Text Feature Based Automatic Keyword Extraction Method for Single Documents by Ricardo Campos, Vítor Mangaravite, Arian Pasquali, Alípio Jorge, Célia Nunes, Adam Jatowt from LIAAD INESC TEC / IPT / FCUP / UBI / University of Kyoto (PDF)
http://yake.inesctec.pt

Tell me stories
Interactive System for Automatically Generating Temporal Narratives Arian Pasquali, Vítor Mangaravite, Ricardo Campos, Alípio Jorge, Adam Jatowt from LIAAD INESC TEC / IPT / FCUP/ University of Kyoto (PDF)
Portuguese Web Archive http://archive.tellmestories.pt, ECIR demo http://demo.tellmestories.pt