Taketomo Isazawa
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View article: KBLaM: Knowledge Base augmented Language Model
KBLaM: Knowledge Base augmented Language Model Open
In this paper, we propose Knowledge Base augmented Language Model (KBLaM), a new method for augmenting Large Language Models (LLMs) with external knowledge. KBLaM works with a knowledge base (KB) constructed from a corpus of documents, tra…
View article: How Beneficial Is Pretraining on a Narrow Domain-Specific Corpus for Information Extraction about Photocatalytic Water Splitting?
How Beneficial Is Pretraining on a Narrow Domain-Specific Corpus for Information Extraction about Photocatalytic Water Splitting? Open
Language models trained on domain-specific corpora have been employed to increase the performance in specialized tasks. However, little previous work has been reported on how specific a "domain-specific" corpus should be. Here, we test a n…
View article: Automated Construction of a Photocatalysis Dataset for Water-Splitting Applications
Automated Construction of a Photocatalysis Dataset for Water-Splitting Applications Open
View article: An Auto-generated Photocatalysis Database for Water-Splitting Applications by Exploiting Inter- and Intra-Sentence Relations
An Auto-generated Photocatalysis Database for Water-Splitting Applications by Exploiting Inter- and Intra-Sentence Relations Open
(1) Photocatalysis databases.(2) Photocatalysis extraction models.(3) Photocatalysis extraction scripts.(4) Code for ChemDataExtractor v2.2 that was developed to auto-generate this database (static version).(5) A supporting CDEDatabase sof…
View article: Single Model for Organic and Inorganic Chemical Named Entity Recognition in ChemDataExtractor
Single Model for Organic and Inorganic Chemical Named Entity Recognition in ChemDataExtractor Open
Chemical Named Entity Recognition (NER) forms the basis of information extraction tasks in the chemical domain. However, while such tasks can involve multiple domains of chemistry at the same time, currently available named entity recogniz…