JDD @ FinCausal 2020, Task 2: Financial Document Causality Detection

no code implementations • FNP (COLING) 2020 • Toshiya Imoto, Tomoki Ito

This paper describes the approach we built for the Financial Document Causality Detection Shared Task (FinCausal-2020) Task 2: Cause and Effect Detection.

Task 2

Learning Company Embeddings from Annual Reports for Fine-grained Industry Characterization

1 code implementation • FinNLP (COLING) 2020 • Tomoki Ito, Jose Camacho Collados, Hiroki Sakaji, Steven Schockaert

Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model

no code implementations • 20 Jan 2019 • Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi

Specifically, we extend the linear multi-factor model to be non-linear and time-varying with LSTM.

Management

Estimation of cross-lingual news similarities using text-mining methods

no code implementations • ICLR 2018 • Zhouhao Wang, Enda Liu, Hiroki Sakaji, Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and twits have been generated on the Internet, which is written not only in English but also in other languages such as Chinese, Japanese, French and so on.

text similarity