Economic Causal-Chain Search using Text Mining Technology

In this research, we extract causal information from textual data and construct a causality database in the economic field. We develop a method to produce causal chains starting from phrases representing specific events. The proposed method can offer possible ripple effects and factors of particular events or situations. Using our approach to Japanese textual data, we have implemented a prototype system that can display causal chains for user-entered words. A user can interactively edit the causal chains by selecting appropriate causalities and deleting inappropriate causalities. The economic causal-chain search algorithm can be applied to various financial information services.

[1]  Yuji Matsumoto,et al.  Acquiring causal knowledge from text using the connective marker tame , 2005, TALIP.

[2]  kohei nishimura Creation of Causal Relation Network using Semantic Similarity , 2018 .

[3]  Syin Chan,et al.  Extracting Causal Knowledge from a Medical Database Using Graphical Patterns , 2000, ACL.

[4]  Christopher S. G. Khoo,et al.  Automatic Extraction of Cause-Effect Information from Newspaper Text Without Knowledge-based Inferencing , 1998 .

[5]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[6]  Hiroyuki Sakai,et al.  Discovery of rare causal knowledge from financial statement summaries , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

[7]  Masatoshi Yoshikawa,et al.  Incremental Construction of Causal Network from News Articles , 2012, J. Inf. Process..

[8]  James H. Martin,et al.  Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations , 2008, ACL.

[9]  Du-Seong Chang,et al.  Incremental cue phrase learning and bootstrapping method for causality extraction using cue phrase and word pair probabilities , 2006, Inf. Process. Manag..

[10]  Farid Meziane,et al.  Extracting Arabic Causal Relations Using Linguistic Patterns , 2016, ACM Trans. Asian Low Resour. Lang. Inf. Process..

[11]  Hasan Davulcu,et al.  Snowball: Extracting Causal Chains from Climate Change Text Corpora , 2018, 2018 1st International Conference on Data Intelligence and Security (ICDIS).

[12]  Satoshi Sekine,et al.  Extracting Causal Knowledge Using Clue Phrases and Syntactic Patterns , 2008, PAKM.

[13]  Yuji Matsumoto,et al.  Japanese Dependency Analysis using Cascaded Chunking , 2002, CoNLL.

[14]  Roxana Gîrju,et al.  Automatic Detection of Causal Relations for Question Answering , 2003, ACL 2003.