KUALA LUMPUR, Aug 21 (Bernama) -- alt Inc, a Japanese AI startup and developer of the ‘al+’ personal artificial intelligence (PAI), will present its latest research results on Fine-Grained Named Entity Recognition (FG-NER).
The results will be presented at the 27th International Conference on Computational Linguistics (COLING 2018), held from Aug 20 to 26 in Santa Fe, New Mexico, USA.
COLING is the one of the world’s oldest and most prestigious computational linguistics conference, along with ACL and EMNLP. Number of papers submitted is 1017, out of which 37 per cent have been accepted.
The research proposes a neural network-based method for Japanese FG-NER, which is an extension of the work presented in ACL 2017.
alt Inc said in a statement the experimental results show that the proposed method significantly improves Japanese FG-NER performance (F-score) from 66.75 per cent to 75.18 per cent.
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.
The research has a significant importance in alt Inc’s research and development of its natural language Dialogue Engine and PAI -- a new paradigm of AI which tries to create a clone of the user.
The 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. More details at https://alt.ai/en/
-- BERNAMA
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