24 citations · 134 across the 37 of their papers we have counts for
5 papers · 1 filter
The Rule of Three: Abstractive Text Summarization in Three Bullet Points
Tomonori Kodaira, Mamoru Komachi
Neural network-based approaches have become widespread for abstractive text summarization. Though previously proposed models for abstractive text summarization addressed the proble…
Neural Machine Translation of Logographic Languages Using Sub-character Level Information
Longtu Zhang, Mamoru Komachi
Recent neural machine translation (NMT) systems have been greatly improved by encoder-decoder models with attention mechanisms and sub-word units. However, important differences be…
Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models
Satoru Katsumata, Yukio Matsumura, Hayahide Yamagishi +1
Encoder-decoder models typically only employ words that are frequently used in the training corpus to reduce the computational costs and exclude noise. However, this vocabulary set…
Japanese Predicate Conjugation for Neural Machine Translation
Michiki Kurosawa, Yukio Matsumura, Hayahide Yamagishi +1
Neural machine translation (NMT) has a drawback in that can generate only high-frequency words owing to the computational costs of the softmax function in the output layer. In Japa…
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi
Sentence representations can capture a wide range of information that cannot be captured by local features based on character or word N-grams. This paper examines the usefulness of…