TY - CHAP

T1 - Inflation Narratives from a Machine Learning Perspective

AU - Möller, Cedric

AU - Huang, Junbo

AU - Weinig, Max Valentin

AU - Usbeck, Ricardo

AU - Fritsche, Ulrich

PY - 2023/10/1

Y1 - 2023/10/1

N2 - Inflation narratives explain inflation changes and affect expectations. Manu- ally identifying them is cumbersome, prompting the need for scalable algo- rithms. Narratives comprise events, causal relations, and arguments, repre- sented as graphs with event and argument nodes. Causal relations indicate cause-and-effect relationships between events using directed edges. Our main objective is to extract narratives from text to enhance a knowledge graph for analysis like social network analysis or edge prediction. We address two sub- problems: event extraction, involving event type and argument identification, and event deduplication. Second, we extract causal relations as expressed by authors, not necessarily true causal links between events in the text.

AB - Inflation narratives explain inflation changes and affect expectations. Manu- ally identifying them is cumbersome, prompting the need for scalable algo- rithms. Narratives comprise events, causal relations, and arguments, repre- sented as graphs with event and argument nodes. Causal relations indicate cause-and-effect relationships between events using directed edges. Our main objective is to extract narratives from text to enhance a knowledge graph for analysis like social network analysis or edge prediction. We address two sub- problems: event extraction, involving event type and argument identification, and event deduplication. Second, we extract causal relations as expressed by authors, not necessarily true causal links between events in the text.

KW - Informatics

UR - https://www.hcds.uni-hamburg.de/en/current/all-events/digital-total/digital-total-boa.pdf

M3 - Published abstract in conference proceedings

SP - 143

BT - Digital Total - Computing & Data Science an der Universität Hamburg und in der Wissenschaftsmetropole Hamburg

A2 - Semmann, Martin

A2 - Yimam, Seid Muhie

A2 - Schöning-Stierand, Katrin

A2 - Biemann, Chris

PB - Universitat Hamburg

CY - Hamburg

T2 - Digital Total - Computing & Data Science an der Universität Hamburg und in der Wissenschaftsmetropole Hamburg

Y2 - 9 October 2023 through 10 October 2023

ER -