The method is based on the sentence pairwise model described in.
For this task, we propose the use of new generic lexical-syntactic patterns based on the sentence structure.
Book ratings are based on the sentence length, the word length and how difficult the words are.
To capture the relations in texts, we introduce 16 generic patterns to identify non-specific relations, based on the sentence structure.
The classification precision based on the sentence corpus was higher than that of the paragraph or document (Zheng, 2014); we extracted 32,767 sentences from the textual part of the financial reports based on the full-stop punctuation.
The extractor identifies relationships by applying lexical-syntactic patterns based on Pustejovsky's qualia structure [11], as proposed by Cimiano and Wenderoth [12], and generic patterns that identify non-specified relationships based on the sentence structure.
To control for the strengths of contextual biases in the auditory sentences, a sentence completion task was conducted, in which 36 participants (16 males and 20 females, aged between 19 24, mean age = 20.6, SD = 1.68) completed sentences based on the sentence fragments.
We applied three readability measures to calculate the difficulty of the two reading passage sources, namely the Flesch-Kincaid Grade Level, Flesch-Kincaid Reading Ease (Kincaid et al. 1975) and Dale-Chall readability formula (Chall and Dale 1995), which are based on the sentence length and word difficulty.
By distantly supervising the training labels, we do not curate each sentence to confirm that the two genes are interacting based on the sentence.
In this way, we learned new informative features based on the sentences that had not been seen by the system during previous iterations.
