Search Results for author:
Found 11 papers, 2 papers with code
TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics
Tasks, Datasets and Evaluation Metrics are important concepts for understanding experimental scientific papers.
HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports
Due to the fast pace at which research reports in behaviour change are published, researchers, consultants and policymakers would benefit from more automatic ways to process these reports.
Corpus Wide Argument Mining -- a Working Solution
One of the main tasks in argument mining is the retrieval of argumentative content pertaining to a given topic.
A Summarization System for Scientific Documents
We present a novel system providing summaries for Computer Science publications.
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments.
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
While the fast-paced inception of novel tasks and new datasets helps foster active research in a community towards interesting directions, keeping track of the abundance of research activity in different areas on different datasets is likely to become increasingly difficult.
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining
We propose a methodology to blend high quality but scarce strong labeled data with noisy but abundant weak labeled data during the training of neural networks.
Noyaux de r\'e\'ecriture de phrases munis de types lexico-s\'emantiques
De nombreux probl{\`e}mes en traitement automatique des langues requi{\`e}rent de d{\'e}terminer si deux phrases sont des r{\'e}{\'e}critures l{'}une de l{'}autre.
A hierarchical taxonomy for classifying hardness of inference tasks
In this paper we propose a hierarchical taxonomy for inferences, relatively to their hardness, and with corpus annotation and system design and evaluation in mind.
