activity
20142026
most citedKnowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

77 citations · 94 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents

Nikita Gupta, Riju Chatterjee, Lukas Haas +9

We introduce DeepSearchQA, a 900-prompt benchmark for evaluating agents on difficult multi-step information-seeking tasks across 17 different fields. Unlike traditional benchmarks…

cs.DB2018★ 1 cited

Scalable Semantic Querying of Text

Xiaolan Wang, Aaron Feng, Behzad Golshan +4

We present the KOKO system that takes declarative information extraction to a new level by incorporating advances in natural language processing techniques in its extraction langua…

cs.CL2017★ 2 cited

A Lightweight Front-end Tool for Interactive Entity Population

Hidekazu Oiwa, Yoshihiko Suhara, Jiyu Komiya +1

Entity population, a task of collecting entities that belong to a particular category, has attracted attention from vertical domains. There is still a high demand for creating enti…

cs.CL2017★ 77 cited

Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo +1

Knowledge base completion (KBC) aims to predict missing information in a knowledge base.In this paper, we address the out-of-knowledge-base (OOKB) entity problem in KBC:how to answ…

stat.ML2014★ 14 cited

Partition-wise Linear Models

Hidekazu Oiwa, Ryohei Fujimaki

Region-specific linear models are widely used in practical applications because of their non-linear but highly interpretable model representations. One of the key challenges in the…