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Automatic Approach for Building Dataset of Citation Functions for COVID-19 Academic Papers
This paper uses the COVID-19 Open Research Dataset (CORD-19) and extracts 99. 6k random citing sentences from 10. 1k papers.
Developing a Dataset of Overridden Information in Wikipedia
This paper proposes a new task of detecting information override.
Developing Dataset of Japanese Slot Filling Quizzes Designed for Evaluation of Machine Reading Comprehension
This paper describes our developing dataset of Japanese slot filling quizzes designed for evaluation of machine reading comprehension.
Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment
The quality of training data is one of the crucial problems when a learning-centered approach is employed.
Developing Corpus of Lecture Utterances Aligned to Slide Components
The approach which formulates the automatic text summarization as a maximum coverage problem with knapsack constraint over a set of textual units and a set of weighted conceptual units is promising.
Detecting Japanese Compound Functional Expressions using Canonical/Derivational Relation
In order to organize Japanese functional expressions with various surface forms, a lexicon of Japanese functional expressions with hierarchical organization was compiled.
Developing Partially-Transcribed Speech Corpus from Edited Transcriptions
Large-scale spontaneous speech corpora are crucial resource for various domains of spoken language processing.
