TY - JOUR
T1 - Scientific Text Entailment and a Textual-Entailment-based framework for cooking domain question answering
AU - Pathak, Amarnath
AU - Manna, Riyanka
AU - Pakray, Partha
AU - Das, Dipankar
AU - Gelbukh, Alexander
AU - Bandyopadhyay, Sivaji
N1 - Publisher Copyright:
© 2021, Indian Academy of Sciences.
PY - 2021/12
Y1 - 2021/12
N2 - Detecting entailment relationship between two sentences has profoundly impacted several different application areas of Natural Language Processing (NLP). Though recognizing textual entailment (TE) is amongst the widely studied problems, the research on detecting entailment between pieces of scientific texts is still in its infancy. To this end the paper discusses implementation of systems based on Long Short-Term Memory (LSTM) neural network and Support Vector Machine (SVM) classifiers using SCITAIL entailment dataset, a dataset in which premise and hypothesis are constituted of scientific texts. Also, a TE-based framework for cooking domain question answering is introduced. The proposed framework exploits the entailment relationship between user question and the cooking questions contained inside a Knowledge Base (KB).
AB - Detecting entailment relationship between two sentences has profoundly impacted several different application areas of Natural Language Processing (NLP). Though recognizing textual entailment (TE) is amongst the widely studied problems, the research on detecting entailment between pieces of scientific texts is still in its infancy. To this end the paper discusses implementation of systems based on Long Short-Term Memory (LSTM) neural network and Support Vector Machine (SVM) classifiers using SCITAIL entailment dataset, a dataset in which premise and hypothesis are constituted of scientific texts. Also, a TE-based framework for cooking domain question answering is introduced. The proposed framework exploits the entailment relationship between user question and the cooking questions contained inside a Knowledge Base (KB).
KW - Long Short-Term Memory neural networks
KW - Scientific Text Entailment
KW - Support Vector Machine
KW - cooking domain question answering
UR - http://www.scopus.com/inward/record.url?scp=85100557228&partnerID=8YFLogxK
U2 - 10.1007/s12046-021-01557-9
DO - 10.1007/s12046-021-01557-9
M3 - Artículo
AN - SCOPUS:85100557228
SN - 0256-2499
VL - 46
JO - Sadhana - Academy Proceedings in Engineering Sciences
JF - Sadhana - Academy Proceedings in Engineering Sciences
IS - 1
M1 - 24
ER -