Comparing Approaches to Tag Discourse Relations

Mithun, Shamima; Kosseim, Leila

doi:10.1007/978-3-642-19400-9_26

Cited by 4 publications

(7 citation statements)

References 5 publications

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“…The other main application of such an annotated corpus is in discourse parsing. A great deal of recent work (da Cunha et al, 2012;Feng & Hirst, 2012Hernault et al, 2011;Hernault et al, 2010;Maziero et al, 2011;Mithun & Kosseim, 2011) and also earlier approaches (Corston-Oliver, 1998;Marcu, 2000;Schilder, 2002) have used DMs as the main signals to automatically parse relations, and almost exclusively at the sentence level. Our extended set of signals, and the fact that they work at all levels of discourse, will probably facilitate this task.…”

Section: Discussionmentioning

confidence: 99%

RST Signalling Corpus: a corpus of signals of coherence relations

Das

Taboada

2017

Lang Resources & Evaluation

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We present the RST Signalling Corpus (Das et al., 2015), a corpus annotated for signals of coherence relations. The corpus is developed over the RST Discourse Treebank (Carlson et al., 2002) which is annotated for coherence relations. In the RST Signalling Corpus, these relations are further annotated with signalling information. The corpus includes annotation not only for discourse markers which are considered to be the most typical (or sometimes the only type of) signals in discourse, but also for a wide array of other signals such as reference, lexical, semantic, syntactic, graphical and genre features as potential indicators of coherence relations. We describe the research underlying the development of the corpus and the annotation process, and provide details of the corpus. We also present the results of an inter-annotator agreement study, illustrating the validity and reproducibility of the annotation. The corpus is available through the Linguistic Data Consortium (LDC), and can be used to investigate the psycholinguistic mechanisms behind the interpretation of relations through signalling, and also to develop discourse-specific computational systems such as discourse parsing applications.

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Section: Discussionmentioning

confidence: 99%

RST Signalling Corpus: a corpus of signals of coherence relations

Das

Taboada

2017

Lang Resources & Evaluation

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“…In (Mithun, Kosseim, 2011), we have presented four domain-independent predicate identification approaches. As specified earlier, predicates can describe a single clause or a relation between clauses.…”

Section: Predicate Identification Approachesmentioning

confidence: 99%

“…(Jindal, Liu, 2006)'s approach is used to identify intra-clause comparison predicates; we have designed a tagger based on (Fei et al, 2006)'s approach to identify topic-opinion predicates; and we have proposed an approach to tag attributive predicates (Mithun, Kosseim, 2011). A description of these approaches can be found in (Mithun, Kosseim, 2011). By combining these approaches, a sentence is tagged with all possible predicates that it may contain and is ready to be used in a schema.…”

Section: Predicate Identification Approachesmentioning

confidence: 99%

L'utilisation de schémas de discours pour améliorer la pertinence et la cohérence discursive dans le cadre du résumé automatique de blogs

Mithun¹,

Kosseim²

2012

Document numérique

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Question irrelevance and discourse incoherence are important and typical problems in multi-document summarization especially when dealing with informal and opinionated texts. To address these two issues, we propose a domain-independent query-based summarization approach for opinionated documents that uses intra-sentential discourse structures in the framework of schemata. We have developed a generic domain-independent schema-based approach that selects the most appropriate text schema to answer specific types of questions. The schemata define the content and the organization of summaries based on the discourse relations present in candidate sentences. To decide which candidate sentences should be included in the final summary and where, each sentence is automatically tagged with the rhetorical predicates it conveys and allowed to fill a slot of the schema. Finally post-schema heuristics that work at the inter-sentence level are used to improve coherence further. To validate our approach, we have built a system named BlogSum and have evaluated its performance for question relevance and coherence using two datasets: blogs and reviews. ROUGE scores show that our approach is effective at reducing question irrelevant sentences and a manual evaluation shows a significant improvement in question relevance and coherence compared to the original candidate list. These results indicate that the use of discourse relations combined with text schemas can effectively reduce question irrelevance and discourse incoherence even with informal and opinionated documents. RÉSUMÉ. Les problèmes de pertinence et de cohérence discursive sont des enjeux importants et usuels dans le cadre du résumé automatique à partir de documents multiples, en particulier, lorsque les documents sources sont informels et sont fondés sur des opinions plutôt que des faits. Pour faire face à ces problèmes, nous proposons une approche pour le résumé automatique à partir de requêtes (query-based summarisation) qui utilise les relations de discours intra-phrastiques jumelées à des schémas textuels. Nous avons développé une approche Document numérique-n o 2/2012, 91-120 Cet article des Editions Lavoisier est disponible en acces libre et gratuit sur dn.revuesonline.com 92 DN. Volume 15-n o 2/2012 générique et indépendante du domaine qui sélectionne le schéma textuel le plus approprié pour répondre à certains types de questions. Les schémas définissent le contenu et l'organisation des résumés en se basant sur les relations de discours présentes dans les phrases candidates. Pour sélectionner quelles phrases devraient être incluses dans le résumé et où, chaque phrase est automatiquement étiquetée par les relations rhétoriques qu'elle contient permettant ainsi de remplir des positions spécifiques dans le schéma textuel. Finalement, des heuristiques postschéma oeuvrant au niveau inter-phrastique sont utilisées pour améliorer la cohérence. Pour valider notre approche, nous avons développé un système nommé BlogSum et avons évalué ses performances vis-à-vis de la pertine...

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“…We methodically analyzed and compared currently available discourse relations tagging approaches to evaluate the current state of the art. This led to the publication [MK11a] (see Section 5.3 and Section 7.4).…”

Section: Analysis Of Current Predicate Tagging Approachesmentioning

confidence: 99%

“…However, the performance varies from F-Measure scores of 85% to 40% (inter-clause comparison is as low as of 40%). This was published in [MK11a].…”

Section: Analysis Of Current Predicate Tagging Approachesmentioning

confidence: 99%

Exploiting Rhetorical Relations in Blog Summarization

Mithun

2010

Advances in Artificial Intelligence

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The availability of huge amounts of online opinions has created a new need to develop effective query-based opinion summarizers to analyze this information in order to facilitate decision making at every level. To develop an effective opinion summarization approach, we have targeted to resolve specifically Question Irrelevancy and Discourse Incoherency problems which have been found to be the most frequently occurring problems for opinion summarization. To address these problems, we have introduced a hybrid approach by combining text schema and rhetorical relations to exploit intra-sentential rhetorical relations. To evaluate our approach, we have built a system called BlogSum and have compared BlogSum-generated summaries after applying rhetorical structuring to BlogSum-generated candidate sentences without utilizing rhetorical relations using the Text Analysis Conference (TAC) 2008 data for summary contents. Evaluation results show that our approach improves summary contents by reducing question irrelevant sentences.

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Comparing Approaches to Tag Discourse Relations

Cited by 4 publications

References 5 publications

RST Signalling Corpus: a corpus of signals of coherence relations

RST Signalling Corpus: a corpus of signals of coherence relations

L'utilisation de schémas de discours pour améliorer la pertinence et la cohérence discursive dans le cadre du résumé automatique de blogs

Exploiting Rhetorical Relations in Blog Summarization

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