Publications (6)
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…
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…
Semantic Search as Extractive Paraphrase Span Detection
Jenna Kanerva, Hanna Kitti, Li-Hsin Chang +3
In this paper, we approach the problem of semantic search by framing the search task as paraphrase span detection, i.e. given a segment of text as a query phrase, the task is to id…
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…