financial_nlp_small¶
from relational_datasets import load
train, test = load("financial_nlp_small", "v0.0.6")
using RelationalDatasets
train, test = load("financial_nlp_small", "v0.0.6")
"Financial NLP Small" started with sentences from company initial public
offering documents (IPO SEC Form S-1) that were converted to relational facts
with rnlp.
Task¶
Binary Classification: Is the sentence a primary share?
wordstringinsentence(+sentenceid,+wordid,#wordstring).
lemmaofwordinsentence(+sentenceid,+wordid,#wordlemma).
beginningwordinsentence(+sentenceid,-wordid).
midwordinsentence(+sentenceid,-wordid).
endingwordinsentence(+sentenceid,-wordid).
nextwordinsentence(+sentenceid,+wordid,-wordid).
nextwordinsentence(+sentenceid,-wordid,+wordid).
sentencecontainstarget(+sentenceid,+wordid).
Publications¶
- Dhami, D.S., & Kunapuli, G., & Natarajan, S., Efficient Learning of Relational Gaifman Models using Probabilistic Logic, Workshop on Probabilistic Logic Programming (PLP) 2019.
Last update:
November 9, 2022