12 citations · 13 across the 7 of their papers we have counts for
9 papers
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing
Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito +2
To promote and further develop RST-style discourse parsing models, we need a strong baseline that can be regarded as a reference for reporting reliable experimental results. This p…
Aspect-based Analysis of Advertising Appeals for Search Engine Advertising
Soichiro Murakami, Peinan Zhang, Sho Hoshino +3
Writing an ad text that attracts people and persuades them to click or act is essential for the success of search engine advertising. Therefore, ad creators must consider various a…
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers
Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Manabu Okumura +1
Numerical tables are widely used to present experimental results in scientific papers. For table understanding, a metric-type is essential to discriminate numbers in the tables. We…
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs
Shogo Fujita, Tomohide Shibata, Manabu Okumura
In community-based question answering (CQA) platforms, it takes time for a user to get useful information from among many answers. Although one solution is an answer ranking method…
Pointing to Subwords for Generating Function Names in Source Code
Shogo Fujita, Hidetaka Kamigaito, Hiroya Takamura +1
We tackle the task of automatically generating a function name from source code. Existing generators face difficulties in generating low-frequency or out-of-vocabulary subwords. In…
Neural text normalization leveraging similarities of strings and sounds
Riku Kawamura, Tatsuya Aoki, Hidetaka Kamigaito +2
We propose neural models that can normalize text by considering the similarities of word strings and sounds. We experimentally compared a model that considers the similarities of b…