| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2016-06-17 |
| タイトル |
|
|
タイトル |
A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
natural language processing |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
future reference expressions |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
future prediction |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
information extraction |
| 資源タイプ |
|
|
資源 |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
NAKAJIMA, Yoko
PTASZYNSKI, Michal
HONMA, Hirotoshi
MASUI, Fumito
|
| 著者別名 |
|
|
|
識別子Scheme |
WEKO |
|
|
識別子 |
44864 |
|
|
識別子Scheme |
KAKEN |
|
|
識別子URI |
https://nrid.nii.ac.jp/ja/nrid/1000080324549 |
|
|
識別子 |
80324549 |
|
|
姓名 |
桝井, 文人 |
|
|
言語 |
ja |
| 著者別名 |
|
|
|
識別子Scheme |
WEKO |
|
|
識別子 |
44869 |
|
|
識別子Scheme |
KAKEN |
|
|
識別子URI |
https://nrid.nii.ac.jp/ja/nrid/1000060711504 |
|
|
識別子 |
60711504 |
|
|
姓名 |
プタシンスキ, ミハウ |
|
|
言語 |
ja |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
In everyday life, people use past events and their own knowledge in predicting probable unfolding of events. To obtain the necessary knowledge for such predictions, newspapers and the Internet provide a general source of information. Newspapers contain various expressions describing past events, but also current and future events, and opinions. In our research we focused on automatically obtaining sentences that make reference to the future. Such sentences can contain expressions that not only explicitly refer to future events, but could also refer to past or current events. For example, if people read a news article that states "In the near future, there will be an upward trend in the price of gasoline," they may be likely to buy gasoline now. However, if the article says "The cost of gasoline has just risen 10 yen per liter," people will not rush to buy gasoline, because they accept this as reality and may expect the cost to decrease in the future. In the following study we firstly investigate future reference sentences in newspapers and Web news. Next, we propose a method for automatic extraction of such sentences by using semantic role labels, without typical approaches (temporal expressions, etc.). In a series of experiments, we extract semantic role patterns from future reference sentences and examine the validity of the extracted patterns in classification of future reference sentences. |
| 書誌情報 |
IEICE Transactions on Information and Systems
巻 E99.D,
号 2,
p. 514-524,
発行日 2016-02
|
| DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
http://doi.org/10.1587/transinf.2015EDP7115 |
| 権利 |
|
|
権利情報 |
c 2016 The Institute of Electronics, Information and Communication Engineers |
| 出版者 |
|
|
出版者 |
The Institute of Electronics, Information and Communication Engineers (電子情報通信学会 ) |
| 関連サイト |
|
|
URL |
http://search.ieice.org/bin/summary.php?id=e99-d_2_514 |
| 著者版フラグ |
|
|
言語 |
en |
|
値 |
publisher |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
2016_A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling.pdf (626.3 kB)
