2024 • In Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing
United Nations (UN); Sustainable Development Goals (SDGs); Small Language Models (SLMs); Retrieval Augmented Generation (RAG); Mistral; Orca 2; Phi-2; Generative Query Reformulation (GenQR); Context Aware Query Rewriting (CAR); Reciprocal Rank Fusion (RRF); Zero-Shot Classification
Abstract :
[en] Since the United Nations defined the Sustainable Development Goals, studies have shown that these goals are interlinked in different ways. The concept of SDG interlinkages refers to the complex network of interactions existing within and between the SDGs themselves. These interactions are referred to as synergies and trade-offs. Synergies represent positive interactions where the progress of one SDG contributes positively to the progress of another. On the other hand, trade-offs are negative interactions where the progress of one SDG has a negative impact on another. However, evaluating such interlinkages is a complex task, not only because of the multidimensional nature of SDGs, but also because it is highly exposed to personal interpretation bias and technical limitations. Recent studies are mainly based on expert judgements, literature reviews, sentiment or data analysis. To remedy these limitations we propose the use of Small Language Models in addition of an advanced Retrieval Augmented Generation to distinguish synergies and trade-offs between SDGs. In order to validate our results, we have drawn on the study carried out by the European Commission’s Joint Research Centre which provides a database of interlinkages labelled according to the presence of synergies or trade-offs.
Disciplines :
Computer science
Author, co-author :
Bergeron, Loris; Banque de Luxembourg, Luxembourg ; SnT SEDAN, University of Luxembourg
FRANCOIS, Jérôme ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
STATE, Radu ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
HILGER, Jean ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SnT Finnovation Hub
External co-authors :
yes
Language :
English
Title :
BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models
Publication date :
2024
Event name :
Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing
Event place :
Torino, Italy
Event date :
May 2024
Audience :
International
Main work title :
Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing
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