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alt Inc. Presents Research Results on Fine-Grained Named Entity Recognition at COLING 2018

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alt Inc. (Headquartered in Chiyoda-ku, Tokyo and represented by Kazutaka
Yonekura as CEO), a leading AI startup and developer of the "al+" P.A.I.
(Personal Artificial Intelligence), is to present its latest research
results on Fine-Grained Named Entity Recognition (FG-NER) at the 27th
International Conference on Computational Linguistics (COLING 2018),
held from August 20th through 26th in Santa Fe, New Mexico, USA.

This research proposes a neural network-based method for Japanese
FG-NER, which is an extension of the work presented in ACL 2017.
Experimental results show that the proposed method significantly
improves Japanese FG-NER performance (F-score) from 66.75% to 75.18%.

Furthermore, with the title "An Empirical Study on Fine-Grained Named
Entity Recognition", the paper presents the empirical comparison between
various FG-NER algorithms for both Japanese and English. It also
investigates the characteristics of each algorithm as well as the
relationship between the amount of the training data with the
performance of the algorithms.

This research not only contributes the method and knowledge on FG-NER to
the Natural Language Processing research community but also has a
significant importance in alt Inc.'s research and development of its
natural language Dialogue Engine and Personal Artificial Intelligence
(P.A.I.), a new paradigm of AI which tries to create a clone of the
user. This achievement also encourages alt Inc. to strengthen the
development of its FG-NER system as well as the research and development
of Natural Language Processing and Dialogue Engine technologies.

About COLING (International Conference on Computational Linguistics):

COLING is the one of the oldest and most prestigious Computational
Linguistics conference in the World, along with ACL and EMNLP. It is
organized by the ICCL (International Committee on Computational
Linguistics). Number of papers submitted to COLING 2018 is 1017, out of
which 37% have been accepted.

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