Takashi Inui


2020

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An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition
Takuya Komada | Takashi Inui
Proceedings of the Third International Workshop on Spatial Language Understanding

In recent years, previous studies have used visual information in named entity recognition (NER) for social media posts with attached images. However, these methods can only be applied to documents with attached images. In this paper, we propose a NER method that can use element-wise visual information for any documents by using image data corresponding to each word in the document. The proposed method obtains element-wise image data using an image retrieval engine, to be used as extra features in the neural NER model. Experimental results on the standard Japanese NER dataset show that the proposed method achieves a higher F1 value (89.67%) than a baseline method, demonstrating the effectiveness of using element-wise visual information.

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ILP-based Opinion Sentence Extraction from User Reviews for Question DB Construction
Masakatsu Hamashita | Takashi Inui | Koji Murakami | Keiji Shinzato
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation

2015

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Utilizing review analysis to suggest product advertisement improvements
Takaaki Tsunoda | Takashi Inui | Satoshi Sekine
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

2014

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Automatic News Source Detection in Twitter Based on Text Segmentation
Takashi Inui | Masaki Saito | Mikio Yamamoto
Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing

2011

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Applying Sentiment-oriented Sentence Filtering to Multilingual Review Classification
Takashi Inui | Mikio Yamamoto
Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011)

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Long-distance hierarchical structure transformation rules utilizing function words
Chenchen Ding | Takashi Inui | Mikio Yamamoto
Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign

In this paper, we propose structure transformation rules for statistical machine translation which are lexicalized by only function words. Although such rules can be extracted from an aligned parallel corpus simply as original phrase pairs, their structure is hierarchical and thus can be used in a hierarchical translation system. In addition, structure transformation rules can take into account long-distance reordering, allowing for more than two phrases to be moved simultaneously. The rule set is used as a core module in our hierarchical model together with two other modules, namely, a basic reordering module and an optional gap phrase module. Our model is considerably more compact and produces slightly higher BLEU scores than the original hierarchical phrase-based model in Japanese-English translation on the parallel corpus of the NTCIR-7 patent translation task.

2007

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Extracting Semantic Orientations of Phrases from Dictionary
Hiroya Takamura | Takashi Inui | Manabu Okumura
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference

2006

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Time Period Identification of Events in Text
Taichi Noro | Takashi Inui | Hiroya Takamura | Manabu Okumura
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

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Latent Variable Models for Semantic Orientations of Phrases
Hiroya Takamura | Takashi Inui | Manabu Okumura
11th Conference of the European Chapter of the Association for Computational Linguistics

2005

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Investigating the Characteristics of Causal Relations in Japanese Text
Takashi Inui | Manabu Okumura
Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky

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Extracting Semantic Orientations of Words using Spin Model
Hiroya Takamura | Takashi Inui | Manabu Okumura
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

2000

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Committee-based Decision Making in Probabilistic Partial Parsing
Takashi Inui | Kentaro Inui
COLING 2000 Volume 1: The 18th International Conference on Computational Linguistics