323 citations · 495 across the 19 of their papers we have counts for
7 papers · 1 filter
Understanding Human Judgments of Causality
Masahiro Kazama, Yoshihiko Suhara, Andrey Bogomolov +1
Discriminating between causality and correlation is a major problem in machine learning, and theoretical tools for determining causality are still being developed. However, people…
Sato: Contextual Semantic Type Detection in Tables
Dan Zhang, Yoshihiko Suhara, Jinfeng Li +3
Detecting the semantic types of data columns in relational tables is important for various data preparation and information retrieval tasks such as data cleaning, schema matching,…
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
Wataru Hirota, Yoshihiko Suhara, Behzad Golshan +1
We present Emu, a system that semantically enhances multilingual sentence embeddings. Our framework fine-tunes pre-trained multilingual sentence embeddings using two main component…
Happiness Entailment: Automating Suggestions for Well-Being
Sara Evensen, Yoshihiko Suhara, Alon Halevy +3
Understanding what makes people happy is a central topic in psychology. Prior work has mostly focused on developing self-reporting assessment tools for individuals and relies on ex…
Open Information Extraction from Question-Answer Pairs
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan +2
Open Information Extraction (OpenIE) extracts meaningful structured tuples from free-form text. Most previous work on OpenIE considers extracting data from one sentence at a time.…
Validating Gravity-Based Market Share Models Using Large-Scale Transactional Data
Yoshihiko Suhara, Mohsen Bahrami, Burçin Bozkaya +1
Customer patronage behavior has been widely studied in market share modeling contexts, which is an essential step towards modeling and solving competitive facility location problem…
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories
Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda +1
Knowledge discovery from GPS trajectory data is an important topic in several scientific areas, including data mining, human behavior analysis, and user modeling. This paper propos…