8 citations · 17 across the 4 of their papers we have counts for
6 papers
Annotation Guidelines for the Turku Paraphrase Corpus
Jenna Kanerva, Filip Ginter, Li-Hsin Chang +8
This document describes the annotation guidelines used to construct the Turku Paraphrase Corpus. These guidelines were developed together with the corpus annotation, revising and e…
Quantitative Evaluation of Alternative Translations in a Corpus of Highly Dissimilar Finnish Paraphrases
Li-Hsin Chang, Sampo Pyysalo, Jenna Kanerva +1
In this paper, we present a quantitative evaluation of differences between alternative translations in a large recently released Finnish paraphrase corpus focusing in particular on…
Deep learning for sentence clustering in essay grading support
Li-Hsin Chang, Iiro Rastas, Sampo Pyysalo +1
Essays as a form of assessment test student knowledge on a deeper level than short answer and multiple-choice questions. However, the manual evaluation of essays is time- and labor…
Finnish Paraphrase Corpus
Jenna Kanerva, Filip Ginter, Li-Hsin Chang +7
In this paper, we introduce the first fully manually annotated paraphrase corpus for Finnish containing 53,572 paraphrase pairs harvested from alternative subtitles and news headin…
Towards Fully Bilingual Deep Language Modeling
Li-Hsin Chang, Sampo Pyysalo, Jenna Kanerva +1
Language models based on deep neural networks have facilitated great advances in natural language processing and understanding tasks in recent years. While models covering a large…
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets
Fanchao Qi, Liang Chang, Maosong Sun +2
A sememe is defined as the minimum semantic unit of human languages. Sememe knowledge bases (KBs), which contain words annotated with sememes, have been successfully applied to man…