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Found 15 papers, 2 papers with code
Extracting Events from Industrial Incident Reports
Incidents in industries have huge social and political impact and minimizing the consequent damage has been a high priority.
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation
In this paper, we propose the educational resource discovery (ERD) pipeline that automates web resource discovery for novel domains.
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources
We propose a classification scheme -- CLICKER for CL/NLP based on the analysis of online lectures from 77 university courses on this subject.
Extracting Message Sequence Charts from Hindi Narrative Text
In this paper, we propose the use of Message Sequence Charts (MSC) as a representation for visualizing narrative text in Hindi.
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
The task of concept prerequisite chain learning is to automatically determine the existence of prerequisite relationships among concept pairs.
Extraction of Message Sequence Charts from Narrative History Text
In this paper, we advocate the use of Message Sequence Chart (MSC) as a knowledge representation to capture and visualize multi-actor interactions and their temporal ordering.
Extraction of Message Sequence Charts from Software Use-Case Descriptions
We apply this tool to extract MSCs from several real-life software use-case descriptions and show that it performs better than the existing techniques.
Identification of Alias Links among Participants in Narratives
Identification of distinct and independent participants (entities of interest) in a narrative is an important task for many NLP applications.
Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification
We propose a Label Propagation based algorithm for weakly supervised text classification.
Event Timeline Generation from History Textbooks
Event timeline serves as the basic structure of history, and it is used as a disposition of key phenomena in studying history as a subject in secondary school.
Measuring Topic Coherence through Optimal Word Buckets
Measuring topic quality is essential for scoring the learned topics and their subsequent use in Information Retrieval and Text classification.
