Economic Causal-Chain Search Using Text Mining Technology

Causal Pathway Extraction from Web-Board Documents

“…There are several techniques [5][6][7][8][9][10][11][12][13] having been applied for determining or extracting the causal pathways or the causal chains through the cause-effect/causal relation determination between two entities/events from the documents (see Section 2). The features used for the CErel determination from the previous research are mainly version a noun variable pair or a verb variable pair from a noun phrase pair or a verb phrase pair respectively within one simple sentence or a simple sentence pair.…”

“…Several strategies [5][6][7][8][9][10][11][12][13] have been proposed to determine/extract a causal pathway, a causal chain, or causal path of a graph/network through the cause-effect/causal relation determination except [13] working on the implicit knowledge completion where [5,6] working on only the causal/cause-effect relation determination from texts. Girju [5] proposed decision-tree learning the causal relation from a sentence based on the lexico-syntactic pattern (NP1 causal-verb NP2) where NP1 is a cause and NP2 is an effect or vice versa.…”

“…However, the cause/effect events or entities [10] are mainly expressed by noun phrases based on day-by-day time series. Izumi and Sakaji [11] applied a causal verb set as the edge/relation to construct causal paths by connecting between a cause node and an effect node expressed by noun phrases within one sentence. The causal chain was constructed by manually selecting word vector similarities between effect nodes and cause nodes from different causal relations.…”

“…Therefore, the causal relation determination of the previous research [5][6][7][8][9][10][11][12] is mostly based on noun phrases within one or two simple sentences except [8] using only verb pairs to extract the causal relation from several simple sentences. However, CErel of our research is based on wrdCoPattern on Equation (1) included an NP1 head noun and an EDU's verb phrase because the different agents (NP1) with the same predicate verb provide the different semantics of causative/effect concepts.…”

“…However, CErel of our research is based on wrdCoPattern on Equation (1) included an NP1 head noun and an EDU's verb phrase because the different agents (NP1) with the same predicate verb provide the different semantics of causative/effect concepts. The causal pathways, the causal chain, or the causal-graph paths of the previous research [7][8][9][10][11][12] are determined/extracted from documents without concerning the implicit mediator on the certain path/chain whilst [13] emphasizes the implicit knowledge completion on the event chain of actions without the CErel consideration. However, there are a few works on extracting the causal pathway from texts with little concerning in the implicit mediator.…”