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Related papers: Finnish Paraphrase Corpus

200 papers

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 non-trivial variation in translation. We combine a series…

Computation and Language · Computer Science 2021-05-07 Li-Hsin Chang , Sampo Pyysalo , Jenna Kanerva , Filip Ginter

We present a corpus of Finnish news articles with a manually prepared named entity annotation. The corpus consists of 953 articles (193,742 word tokens) with six named entity classes (organization, location, person, product, event, and…

Computation and Language · Computer Science 2019-08-13 Teemu Ruokolainen , Pekka Kauppinen , Miikka Silfverberg , Krister Lindén

This paper accompanies the release of Opusparcus, a new paraphrase corpus for six European languages: German, English, Finnish, French, Russian, and Swedish. The corpus consists of paraphrases, that is, pairs of sentences in the same…

Computation and Language · Computer Science 2018-09-18 Mathias Creutz

This document describes the annotation guidelines used to construct the Turku Paraphrase Corpus. These guidelines were developed together with the corpus annotation, revising and extending the guidelines regularly during the annotation…

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 identify its paraphrase in a given document, the same…

Computation and Language · Computer Science 2025-02-20 Jenna Kanerva , Hanna Kitti , Li-Hsin Chang , Teemu Vahtola , Mathias Creutz , Filip Ginter

A major challenge in paraphrase research is the lack of parallel corpora. In this paper, we present a new method to collect large-scale sentential paraphrases from Twitter by linking tweets through shared URLs. The main advantage of our…

Computation and Language · Computer Science 2017-08-02 Wuwei Lan , Siyu Qiu , Hua He , Wei Xu

The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The corpus includes over twenty thousand speakers from all the…

Computation and Language · Computer Science 2022-03-25 Anssi Moisio , Dejan Porjazovski , Aku Rouhe , Yaroslav Getman , Anja Virkkunen , Tamás Grósz , Krister Lindén , Mikko Kurimo

Sentiment analysis and opinion mining is an important task with obvious application areas in social media, e.g. when indicating hate speech and fake news. In our survey of previous work, we note that there is no large-scale social media…

Computation and Language · Computer Science 2020-12-07 Krister Lindén , Tommi Jauhiainen , Sam Hardwick

Study of affect in speech requires suitable data, as emotional expression and perception vary across languages. Until now, no corpus has existed for natural expression of affect in spontaneous Finnish, existing data being acted or from a…

Computation and Language · Computer Science 2025-05-26 Kalle Lahtinen , Einari Vaaras , Liisa Mustanoja , Okko Räsänen

We present a novel approach to generating news headlines in Finnish for a given news story. We model this as a summarization task where a model is given a news article, and its task is to produce a concise headline describing the main topic…

Computation and Language · Computer Science 2022-12-06 Maximilian Koppatz , Khalid Alnajjar , Mika Hämäläinen , Thierry Poibeau

This paper addresses the quality issues in existing Twitter-based paraphrase datasets, and discusses the necessity of using two separate definitions of paraphrase for identification and generation tasks. We present a new Multi-Topic…

Computation and Language · Computer Science 2022-11-09 Yao Dou , Chao Jiang , Wei Xu

The article is focused on automatic development and ranking of a large corpus for Russian paraphrase generation which proves to be the first corpus of such type in Russian computational linguistics. Existing manually annotated paraphrase…

Computation and Language · Computer Science 2020-06-18 Vadim Gudkov , Olga Mitrofanova , Elizaveta Filippskikh

In this work, we employ a semi-automatic method based on back translation to generate a sentential paraphrase corpus for the Armenian language. The initial collection of sentences is translated from Armenian to English and back twice,…

Computation and Language · Computer Science 2020-09-29 Arthur Malajyan , Karen Avetisyan , Tsolak Ghukasyan

We release our synthetic parallel paraphrase corpus across 17 languages: Arabic, Catalan, Czech, German, English, Spanish, Estonian, French, Hindi, Indonesian, Italian, Dutch, Romanian, Russian, Swedish, Vietnamese, and Chinese. Our method…

We present a simple and effective way to generate a variety of paraphrases and find a good quality paraphrase among them. As in previous studies, it is difficult to ensure that one generation method always generates the best paraphrase in…

Computation and Language · Computer Science 2022-05-10 Joosung Lee

Quotation extraction is a widely useful task both from a sociological and from a Natural Language Processing perspective. However, very little data is available to study this task in languages other than English. In this paper, we present a…

Computation and Language · Computer Science 2023-09-20 Ange Richard , Laura Alonzo-Canul , François Portet

In this paper, we present a corpus for use in automatic readability assessment and automatic text simplification of German. The corpus is compiled from web sources and consists of approximately 211,000 sentences. As a novel contribution, it…

Computation and Language · Computer Science 2019-09-20 Alessia Battisti , Sarah Ebling

We present a new Icelandic-English parallel corpus, the Icelandic Parallel Abstracts Corpus (IPAC), composed of abstracts from student theses and dissertations. The texts were collected from the Skemman repository which keeps records of all…

Computation and Language · Computer Science 2021-08-12 Haukur Barri Símonarson , Vésteinn Snæbjarnarson

In this paper we introduce PerPaDa, a Persian paraphrase dataset that is collected from users' input in a plagiarism detection system. As an implicit crowdsourcing experience, we have gathered a large collection of original and paraphrased…

Computation and Language · Computer Science 2022-09-14 Salar Mohtaj , Fatemeh Tavakkoli , Habibollah Asghari

We propose ParaSCI, the first large-scale paraphrase dataset in the scientific field, including 33,981 paraphrase pairs from ACL (ParaSCI-ACL) and 316,063 pairs from arXiv (ParaSCI-arXiv). Digging into characteristics and common patterns of…

Computation and Language · Computer Science 2021-02-08 Qingxiu Dong , Xiaojun Wan , Yue Cao
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