iSTART

Boonthum, Chutima

doi:10.3115/1219079.1219089

Cited by 14 publications

(3 citation statements)

References 10 publications

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“…More recently, some typologies in NLP consist of lists of the most common types found in a corpus (Barzilay, McKeown, & Elhadad, 1999;Dutrey et al, 2011;Dolan, Quirk, & Brockett, 2004), lists of the paraphrases they address (Dorr et al, 2004;Kozlowski, McCoy, & Shanker, 2003;Boonthum, 2004), or simply lists of typical paraphrases with illustrative purposes (Rinaldi et al, 2003). In general, they are specific-work oriented and far from being comprehensive.…”

Section: Paraphrase Typologiesmentioning

confidence: 99%

Is This a Paraphrase? What Kind? Paraphrase Boundaries and Typology

Vila¹,

Martí²,

Rodríguez³

2014

OJML

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A precise and commonly accepted definition of paraphrasing does not exist. This is one of the reasons that have prevented computational linguistics from a real success when dealing with this phenomenon in its systems and applications. With the aim of helping to overcome this difficulty, in this article, new insights on paraphrase characterization are provided. We first overview what has been said on paraphrasing from linguistics and the new lights shed on the phenomenon from computational linguistics. Under the light of the shortcomings observed, the paraphrase phenomenon is studied from two different perspectives. On the one hand, insights on paraphrase boundaries are set out analyzing paraphrase borderline cases and the interaction of paraphrasing with related linguistic phenomena. On the other hand, a new paraphrase typology is presented. It goes beyond a simple list of types and is embedded in a linguistically-based hierarchical structure. This typology has been empirically validated through corpus annotation and its application in the plagiarism-detection domain.

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Section: Paraphrase Typologiesmentioning

confidence: 99%

Is This a Paraphrase? What Kind? Paraphrase Boundaries and Typology

Vila¹,

Martí²,

Rodríguez³

2014

OJML

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“…Одним з прикладів підходу, який базується на ручних правилах слів є система iSTART [8] Вона використовує різноманітні лексичні, синтаксичні та семантичні особливості для ідентифікації парафраз.…”

Section: підходи засновані на ручних правилахunclassified

Review of approaches for paraphrase identification

Vrublevskyi

Marchenko

2023

BKNUPhM

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The article is devoted to a review of approaches to solving the problem of identifying paraphrases. This problem's relevance and use in tasks such as plagiarism detection, text simplification, and information search are described. Several classes of solutions were considered. The first approach is based on manual rules - it uses manually selected features based on the fundamental properties of paraphrases. The second approach is based on lexical similarity and various databases and ontologies. Machine learning-based approaches are also presented in this paper and describe different architectures that can be used to identify paraphrases. The last approach considered is based on deep learning and modern models of transformers.

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“…Barzilay et al [5] in 1999, Dolan et al [11] in 2004 and Dutrey et al [14] in 2011 gave an NLP typology of the most frequent types in a corpus whereas Kozlowski et al [18] in 2003, Dorr et al [12] in 2004 and Boonthum [7] in 2004 concentrated on the paraphrases that NLP addresses. Rinald i et al [21] in 2003 focused on classic paraphrases with illustrative purposes .…”

Section: Chronological Related Workmentioning

confidence: 99%

Typology for Linguistic Pattern in English-Hindi Journalistic Text Reuse

Kumar¹,

Das²

2016

IJITCS

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Abstract-Linking and tracking news stories covering the same events written in different languages is a challenging task. In natural languages same informat ion may be expressed in mult iple ways and newspapers try to exploit this feature for making the news stories more appealing. It has been observed that the same news story is presented in same as well as in different language in different ways but normally the g ist remains the same. Diversity of linguistic expressions presents a major challenge in identifying and tracking news stories covering the same events across languages , but doing so may provide rich and valuable resources as comparable and parallel corpora can be generated with this resource. In the case of Indian languages there exist limited language resources for Natural Language Processing and Information Retrieval tasks and identifying comparable and parallel documents would offer a potential source for deriving b ilingual d ictionaries and training statistical Machine Translation systems. Paraphrasing is the most common way of reproducing news stories and translated text is also a type of paraphrase. Prior to linking monolingual or b ilingual news stories, these paraphrase types need to identified and classified to help researchers to devise techniques to solve these challenging problems. English-Hindi language pair not only differs in their scripts but also in their g rammar and vocabulary. A number of paraphrase typologies have been built fro m the perspective of Natural Language Processing or for some or the other specific applicat ions but as per the knowledge of the authors, no typology have been reported for English-Hindi cross language text reuse. In this paper a typology is formulated for cross lingual journalistic text reuse in English-Hindi. Typology unravels level of difficult ies in English-Hindi mapping. It shall help in devising techniques for linking and tracking English-Hindi stories

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iSTART

Cited by 14 publications

References 10 publications

Is This a Paraphrase? What Kind? Paraphrase Boundaries and Typology

Is This a Paraphrase? What Kind? Paraphrase Boundaries and Typology

Review of approaches for paraphrase identification

Typology for Linguistic Pattern in English-Hindi Journalistic Text Reuse

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