activity
20162026
most citedSimple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction

19 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Single-Pass, Depth-Selective Reading for Multi-Aspect Sentiment Analysis

Yan Xia, Zhuangzhuang Pan, Amirrudin Kamsin +1

Aspect-Term Sentiment Analysis (ATSA) in multi-aspect sentences faces a fundamental tradeoff between efficiency and expressiveness. Existing models either re-encode the sentence fo…

cs.CL2024★ 1 cited

RakutenAI-7B: Extending Large Language Models for Japanese

Rakuten Group, Aaron Levine, Connie Huang +27

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. Alon…

cs.CL2023

A Unified Generative Approach to Product Attribute-Value Identification

Keiji Shinzato, Naoki Yoshinaga, Yandi Xia +1

Product attribute-value identification (PAVI) has been studied to link products on e-commerce sites with their attribute values (e.g., <Material, Cotton>) using product text as clu…

cs.CL2022★ 19 cited

Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction

Keiji Shinzato, Naoki Yoshinaga, Yandi Xia +1

A key challenge in attribute value extraction (AVE) from e-commerce sites is how to handle a large number of attributes for diverse products. Although this challenge is partially a…

cs.CL2016★ 3 cited

Chinese Event Extraction Using DeepNeural Network with Word Embedding

Yandi Xia, Yang Liu

A lot of prior work on event extraction has exploited a variety of features to represent events. Such methods have several drawbacks: 1) the features are often specific for a parti…