3 citations · 9 across the 10 of their papers we have counts for
10 papers
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space
Xincan Feng, Zhi Qu, Yuchang Cheng +2
A Knowledge Graph (KG) is the directed graphical representation of entities and relations in the real world. KG can be applied in diverse Natural Language Processing (NLP) tasks wh…
JDocQA: Japanese Document Question Answering Dataset for Generative Language Models
Eri Onami, Shuhei Kurita, Taiki Miyanishi +1
Document question answering is a task of question answering on given documents such as reports, slides, pamphlets, and websites, and it is a truly demanding task as paper and elect…
Domain Adaptation in Intent Classification Systems: A Review
Jesse Atuhurra, Hidetaka Kamigaito, Taro Watanabe +1
Dialogue agents, which perform specific tasks, are part of the long-term goal of NLP researchers to build intelligent agents that communicate with humans in natural language. Such…
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models
Jesse Atuhurra, Seiveright Cargill Dujohn, Hidetaka Kamigaito +2
Natural language processing (NLP) practitioners are leveraging large language models (LLM) to create structured datasets from semi-structured and unstructured data sources such as…
Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?
Seiji Gobara, Hidetaka Kamigaito, Taro Watanabe
Education that suits the individual learning level is necessary to improve students' understanding. The first step in achieving this purpose by using large language models (LLMs) i…
knn-seq: Efficient, Extensible kNN-MT Framework
Hiroyuki Deguchi, Hayate Hirano, Tomoki Hoshino +3
k-nearest-neighbor machine translation (kNN-MT) boosts the translation quality of a pre-trained neural machine translation (NMT) model by utilizing translation examples during deco…