CBET: design and evaluation of a domain-specific chatbot for mobile learning
Q Liu, J Huang, L Wu, K Zhu, S Ba - Universal Access in the Information …, 2020 - Springer
The popularity of mobile devices and conversational agents in recent years has seen wide
use of chatbots in different educational scenarios. In relation to the advances in mobile …
use of chatbots in different educational scenarios. In relation to the advances in mobile …
Intelligent document processing based on RPA and machine learning
X Ling, M Gao, D Wang - 2020 Chinese Automation Congress …, 2020 - ieeexplore.ieee.org
RPA (robot process automation) is an intelligent tool that used to automatically process the
business documents. Partially, incorporating human input into the learning process helps to …
business documents. Partially, incorporating human input into the learning process helps to …
Document-level definition detection in scholarly documents: Existing models, error analyses, and future directions
The task of definition detection is important for scholarly papers, because papers often make
use of technical terminology that may be unfamiliar to readers. Despite prior work on …
use of technical terminology that may be unfamiliar to readers. Despite prior work on …
[PDF][PDF] Mining scientific terms and their definitions: A study of the ACL anthology
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology Page 1 Proceedings
of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 780–790 …
of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 780–790 …
Syntactically aware neural architectures for definition extraction
LE Anke, S Schockaert - Proceedings of the 2018 Conference of …, 2018 - aclanthology.org
Automatically identifying definitional knowledge in text corpora (Definition Extraction or DE)
is an important task with direct applications in, among others, Automatic Glossary …
is an important task with direct applications in, among others, Automatic Glossary …
Automated discovery of mathematical definitions in text
Automatic definition extraction from texts is an important task that has numerous applications
in several natural language processing fields such as summarization, analysis of scientific …
in several natural language processing fields such as summarization, analysis of scientific …
[PDF][PDF] Computational linguistics and grammar engineering
We discuss the relevance of HPSG for computational linguistics, and the relevance of
computational linguistics for HPSG, including: the theoretical and computational …
computational linguistics for HPSG, including: the theoretical and computational …
Resources for building applications with dependency minimal recursion semantics
We describe resources aimed at increasing the usability of the semantic representations
utilized within the DELPH-IN (Deep Linguistic Processing with HPSG) consortium. We …
utilized within the DELPH-IN (Deep Linguistic Processing with HPSG) consortium. We …
[HTML][HTML] Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents
H De Ribaupierre, G Falquet - International journal on digital libraries, 2018 - Springer
When scientists are searching for information, they generally have a precise objective in
mind. Instead of looking for documents “about a topic T”, they try to answer specific …
mind. Instead of looking for documents “about a topic T”, they try to answer specific …
Definition extraction with lstm recurrent neural networks
SL Li, B Xu, TL Chung - … on Natural Language Processing Based on …, 2016 - Springer
Definition extraction is the task to identify definitional sentences automatically from
unstructured text. The task can be used in the aspects of ontology generation, relation …
unstructured text. The task can be used in the aspects of ontology generation, relation …