no code implementations • ECNLP (ACL) 2022 • Wei-Te Chen, Yandi Xia, Keiji Shinzato
A major problem in solving AVE as XMC is that the distribution between positive and negative labels for products is heavily imbalanced.
no code implementations • 21 Mar 2024 • Rakuten Group, Aaron Levine, Connie Huang, Chenguang Wang, Eduardo Batista, Ewa Szymanska, Hongyi Ding, Hou Wei Chou, Jean-François Pessiot, Johanes Effendi, Justin Chiu, Kai Torben Ohlhus, Karan Chopra, Keiji Shinzato, Koji Murakami, Lee Xiong, Lei Chen, Maki Kubota, Maksim Tkachenko, Miroku Lee, Naoki Takahashi, Prathyusha Jwalapuram, Ryutaro Tatsushima, Saurabh Jain, Sunil Kumar Yadav, Ting Cai, Wei-Te Chen, Yandi Xia, Yuki Nakayama, Yutaka Higashiyama
We introduce RakutenAI-7B, a suite of Japanese-oriented large language models that achieve the best performance on the Japanese LM Harness benchmarks among the open 7B models.
1 code implementation • 11 Oct 2023 • Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu
In this paper, we reformulate this task as a multi-label classification task that can be applied for real-world scenario in which only annotation of attribute values is available to train models (i. e., annotation of positional information of attribute values is not available).
no code implementations • 16 Aug 2023 • Jiaying Gong, Wei-Te Chen, Hoda Eldardiry
Existing attribute-value extraction (AVE) models require large quantities of labeled data for training.
no code implementations • 9 Jun 2023 • Keiji Shinzato, Naoki Yoshinaga, Yandi Xia, Wei-Te Chen
We finetune a pre-trained generative model, T5, to decode a set of attribute-value pairs as a target sequence from the given product text.
no code implementations • ACL 2022 • Keiji Shinzato, Naoki Yoshinaga, Yandi Xia, Wei-Te Chen
A key challenge in attribute value extraction (AVE) from e-commerce sites is how to handle a large number of attributes for diverse products.
no code implementations • EACL 2017 • Wei-Te Chen, Martha Palmer
In this paper, we introduce an Abstract Meaning Representation (AMR) to Dependency Parse aligner.