• Aucun résultat trouvé

Recent Advances in Information Access at Thomson Reuters R&D: News and Beyond

N/A
N/A
Protected

Academic year: 2022

Partager "Recent Advances in Information Access at Thomson Reuters R&D: News and Beyond"

Copied!
1
0
0

Texte intégral

(1)

Recent Advances in Information Access at Thomson Reuters R&D: News and Beyond

Jochen L. Leidner Director of Research

Corporate Research & Development Thomson Reuters

London, UK

Abstract

In this talk, I report on some recent ad- vances of the Corporate R&D group at Thom- son Reuters. Thomson Reuters is divided into the business areas News, Legal, Finan- cial & Risk, Tax & Accounting, IP & Sci- ence. In the realm of news, the news recom- mender system NewsPlus and the real-time Twitter rumor detection tool for journalists, REUTERS Tracer, are discussed. From the area of pharma within IP & Science, I review work on adverse events associated with med- ical drugs, as mined from Twitter and used for drug repositioning. From the area of law, I report on the advanced search engine tech- nology that powers the Westlaw search en- gine. From the area of Financial & Risk, I present risk mining, a technique for computer- supported risk identification framed as a rela- tion classification task. Last but not least I conclude with some observed challenges and lessons learned. I conclude with a series of challenges and needs for the news industry.

Copyrightc 2016 for the individual papers by the paper’s au- thors. Copying permitted for private and academic purposes.

This volume is published and copyrighted by its editors.

In: M. Martinez, U. Kruschwitz, G. Kazai, D. Corney, F. Hopf- gartner, R. Campos and D. Albakour (eds.): Proceedings of the NewsIR’16 Workshop, Padua, Italy, 20-March-2016, published at http://ceur-ws.org

Biography

Dr. Jochen Leidner is currently Director of Research at Thomson Reuters, where he heads the London (UK) R&D site, which he established. He has worked in many areas including information extraction from le- gal, news and financial documents, search engine tech- nology and its application to legal information re- trieval, automated proofing support for contracts, sen- timent analysis, rule based systems, citation analysis and social media.

Références

Documents relatifs

The purpose of this study was to examine relationships between and among a set of variables: discharge information provided, perception of discharge information received,

%Retrieved of Relevant Stories (RS), Non-Relevant Stories (NRS), Non-Stories (NS) and number of duplicates (#Dup), when removing commercials before transcription (BT) or after

Joint liability costs of pairing with a risky borrower are higher than those of pairing with a safe one and everyone will want to group with the latter type

In applying annotation tool into economic intelligence, we are considering annotation in terms of time, users and documents.. Series of annotations over time on one

Keywords: Knowledge · Enterprise’s Information and Knowledge System (EIKS) · Digital Information System (DIS) · Model for General Knowledge Management within

3 above, states that a management ap- pointment event can be expressed through three verbs (named, elected or appointed). As such, an ontology is not a purely conceptual model, it

In this section we present a method for deciding the sample size n i of each component S i to estimate mutual information with an optimal accuracy when using the hybrid

•  New methods to extract information in textual documents (i.e. new features based on sequential patterns). •  Implemented system in collaboration between LIRMM, TETIS, and