Automatic Indexing of Financial Documents via Information Extraction

Ramamurthy, Rajkumar; Lübbering, Max; Bell, Thiago; Gebauer, Michael; Ulusay, Bilge; Uedelhoven, Daniel; Khameneh, Tim Dilmaghani; Loitz, Rüdiger; Pielka, Maren; Bauckhage, Christian; Sifa, Rafet

doi:10.1109/ssci50451.2021.9659977

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…To achieve automatic indexing and information re-trieval from large volumes of financial documents, [28] presented a document processing system based on a plethora of different machine learning techniques. Finally, [5] tried to autonomously generate financial reports from tabular data.…”

Section: Related Workmentioning

confidence: 99%

Contradiction Detection in Financial Reports

Deußer

Pielka²,

Pucknat³

et al. 2023

nldl

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Finding and amending contradictions in a financial report is crucial for the publishing company and its financial auditors. To automate this process, we introduce a novel approach that incorporates informed pre-training into its transformer-based architecture to infuse this model with additional Part-Of-Speech knowledge. Furthermore, we fine-tune the model on the public Stanford Natural Language Inference Corpus and our proprietary financial contradiction dataset. It achieves an exceptional contradiction detection F1 score of 89.55% on our real-world financial contradiction dataset, beating our several baselines by a considerable margin. During the model selection process we also test various financial-document-specific transformer models and find that they underperform the more general embedding approaches.

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Section: Related Workmentioning

confidence: 99%

Contradiction Detection in Financial Reports

Deußer

Pielka²,

Pucknat³

et al. 2023

nldl

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“…Researchers started to apply deep-learning models to extract entity and achieved some breakthrough results. Word2Vec was one of the first word vector representation methods [14]. It is based on neural networks and generates word vectors in context.…”

Section: Knowledge Extractionmentioning

confidence: 99%

Knowledge Graph Construction Based on a Joint Model for Equipment Maintenance

Lou,

Yu,

Jiang

et al. 2023

Mathematics

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Under the background of intelligent manufacturing, industrial systems are developing in a more complex and intelligent direction. Equipment maintenance management is facing significant challenges in terms of maintenance workload, system reliability and stability requirements and the overall skill requirements of maintenance personnel. Equipment maintenance management is also developing in the direction of intellectualization. It is important to have a method to construct a domain knowledge graph and to organize and utilize it. As is well known, traditional equipment maintenance is mainly dependent on technicians, and they are required to be very familiar with the maintenance manuals. But it is very difficult to manage and exploit a large quantity of knowledge for technicians in a short time. Hence a method to construct a knowledge graph (KG) for equipment maintenance is proposed to extract knowledge from manuals, and an effective maintenance scheme is obtained with this knowledge graph. Firstly, a joint model based on an enhanced BERT-Bi-LSTM-CRF is put forward to extract knowledge automatically, and a Cosine and Inverse Document Frequency (IDF) based on semantic similarity a presented to eliminate redundancy in the process of the knowledge fusion. Finally, a Decision Support System (DSS) for equipment maintenance is developed and implemented, in which knowledge can be extracted automatically and provide an equipment maintenance scheme according to the requirements. The experimental results show that the joint model used in this paper performs well on Chinese text related to equipment maintenance, with an F1 score of 0.847. The quality of the knowledge graph constructed after eliminating redundancy is also significantly improved.

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Automatic Indexing of Financial Documents via Information Extraction

Cited by 2 publications

References 12 publications

Contradiction Detection in Financial Reports

Contradiction Detection in Financial Reports

Knowledge Graph Construction Based on a Joint Model for Equipment Maintenance

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