Computing Discourse Semantics: The Predicate-Argument Semantics of Discourse Connectives in D-LTAG

Forbes-Riley, Katherine; Webber, Bonnie; Joshi, Aravind K.

doi:10.1093/jos/ffh032

Cited by 31 publications

(23 citation statements)

References 35 publications

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“…The coordinating and subordinating conjunctions are 'structural' discourse connectives that take their arguments syntactically, whereas discourse adverbials only take one argument syntactically, and the other one anaphorically (Forbes-Riley et al 2006). For all syntactic types, the argument that syntactically accommodates the discourse connective is called the second argument (Arg2).…”

Section: Introductionmentioning

confidence: 99%

Proceedings of LAW VIII - The 8th Linguistic Annotation Workshop

Alex¹,

Byrne²,

Grover³

et al. 2014

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PrefaceThe Linguistic Annotation Workshop (The LAW) is organized annually by the Association for Computational Linguistics Special Interest Group for Annotation (ACL SIGANN). It provides a forum to facilitate the exchange and propagation of research results concerned with the annotation, manipulation, and exploitation of corpora; work towards harmonization and interoperability from the perspective of the increasingly large number of tools and frameworks for annotated language resources; and work towards a consensus on all issues crucial to the advancement of the field of corpus annotation.The series is now in its eighth year, with these proceedings including papers that were presented at LAW VIII, held in conjunction with the COLING conference in Dublin, Ireland, on August 23-24 2014. As in previous years, more than 40 submissions have originally been received in response to the call for papers. After careful review, the program committee accepted 11 long papers and three short papers for oral presentation, together with eight additional papers to be presented as posters. The topics of the long papers revolve quite nicely around major linguistic levels of description: part of speech, syntax, semantics, and discourse; and thus we arranged them in theses groups in the program. The short papers report on interesting experiments or new tools.Our thanks go to SIGANN, our organizing committee, for its continuing organization of the LAW workshops, and to the COLING 2014 workshop chairs for their support: Jennifer Foster, Dan Gildea and Tim Baldwin. Also, we thank the COLING 2014 publication chairs for their help with these proceedings.Most of all, we would like to thank all the authors for submitting their papers to the workshop, and our program committee members for their dedication and their thoughtful reviews. AbstractPart-of-speech tagging (POS-tagging) of spoken data requires different means of annotation than POS-tagging of written and edited texts. In order to capture the features of German spoken language, a distinct tagset is needed to respond to the kinds of elements which only occur in speech. In order to create such a coherent tagset the most prominent phenomena of spoken language need to be analyzed, especially with respect to how they differ from written language. First evaluations have shown that the most prominent cause (over 50%) of errors in the existing automatized POS-tagging of transcripts of spoken German with the Stuttgart Tübingen Tagset (STTS) and the treetagger was the inaccurate interpretation of speech particles. One reason for this is that this class of words is virtually absent from the current STTS. This paper proposes a recategorization of the STTS in the field of speech particles based on distributional factors rather than semantics. The ultimate aim is to create a comprehensive reference corpus of spoken German data for the global research community. It is imperative that all phenomena are reliably recorded in future part-of-speech tag labels.

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Section: Introductionmentioning

confidence: 99%

Proceedings of LAW VIII - The 8th Linguistic Annotation Workshop

Alex¹,

Byrne²,

Grover³

et al. 2014

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“…La prolongation d'un analyseur syntaxique (phrastique) par un analyseur sémantique (discursif) demande donc de mettre au point un mécanisme qui permette d'attribuer un argument sémantique supplémentaire (considéré comme le premier argument) aux connecteurs adverbiaux. Diverses solutions ont été proposées, entre autres dans les formalismes D-LTAG (Forbes-Riley et al, 2006) et D-STAG (Danlos, 2009, mais ce n'est pas l'objectif de cet article de discuter de cette question. Nous voulons nous concentrer sur la question suivante : dans quelle mesure le second argument sémantique d'un connecteur adverbial correspond-il à son argument syntaxique ?…”

Section: Introductionunclassified

Connecteurs de discours adverbiaux

Danlos

2013

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“…After being used successfully for syntactic analysis in various languages, tag has been extended in two directions: moving from sentential syntactic analysis to semantic analysis -with, among others, stag [4][5][6] -, and moving from the sentence level to the discourse level. The discourse level initially focuses on text generation -with, among others, g-tag [7] -, then on discourse parsing -with, among others, d-ltag [8]. The new formalism presented here relies on all this previous work.…”

Section: Introductionmentioning

confidence: 99%

D-STAG: A Formalism for Discourse Analysis Based on SDRT and Using Synchronous TAG

Danlos

2011

Formal Grammar

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Abstract. We propose d-stag, a new formalism for the automatic analysis of discourse. The analyses computed by d-stag are hierarchical discourse structures annotated with discourse relations, which are compatible with discourse structures computed in sdrt. A discursive stag grammar pairs up trees anchored by discourse connectives with trees anchored by (functors associated with) discourse relations.

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Computing Discourse Semantics: The Predicate-Argument Semantics of Discourse Connectives in D-LTAG

Cited by 31 publications

References 35 publications

Proceedings of LAW VIII - The 8th Linguistic Annotation Workshop

Proceedings of LAW VIII - The 8th Linguistic Annotation Workshop

Connecteurs de discours adverbiaux

D-STAG: A Formalism for Discourse Analysis Based on SDRT and Using Synchronous TAG

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