A concept-centered approach to noun-compound interpretation

Butnariu, Cristina; Veale, Tony

doi:10.3115/1599081.1599092

Cited by 20 publications

(31 citation statements)

References 15 publications

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“…At a computational level, the proposed framework for anaphora resolution allows us to marry the two nlp areas so that we can better share computational advances in the two research areas. Recently there has been an increased momentum [13,26,20,4,15,21,1,11] towards automatic derivation of relations between composite nouns in noun compounds, most of them based on relations from [18]. This will result in an increasing amount of ontology representing semantic relations used for generating compound nouns.…”

Section: Discussionmentioning

confidence: 99%

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A Framework for Interpreting Bridging Anaphora

Nand

Yeap

2013

Communications in Computer and Information Science

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Abstract. In this paper we present a novel framework for resolving bridging anaphora. We argue that anaphora, particularly bridging anaphora, is used as a shortcut device similar to the use of compound nouns. Hence, the two natural language usage phenomena would have to be based on the same theoretical framework. We use an existing theory on compound nouns to test its validity for anaphora usages. To do this, we used human annotators to interpret indirect anaphora from naturally occurring discourses. The annotators were asked to classify the relations between anaphor-antecedent pairs into relation types that have been previously used to describe the relations between a modifier and the head noun of a compound noun. We obtained very encouraging results with an average Fleiss's κ value of 0.66 for inter-annotation agreement. The results were evaluated against other similar natural language interpretation annotation experiments and were found to compare well. In order to determine the prevalence of the proposed set of anaphora relations we did a detailed analysis of a subset 20 newspaper articles. The results obtained from this also indicated that a majority (98%) of the relations could be described by the relations in the framework. The results from this analysis also showed the distribution of the relation types in the genre of news paper article discourses.

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Section: Discussionmentioning

confidence: 99%

“…Some works in the computational lin-1 same meaning relation 2 same subset/superset relation 3 part/whole relation guistics (eg. [4,20]) assume the existence of an unbounded number of relations while others (eg. [16,13]) use categories similar to Levi's finite set.…”

Section: Related Workmentioning

confidence: 99%

A Framework for Interpreting Bridging Anaphora

Nand

Yeap

2013

Communications in Computer and Information Science

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“…The proposed framework for anaphora resolution allows us to marry the two nlp areas so that we can better share computational advances in the two research areas. Recently there has been an increased momentum [15], [11], [13], [12], [25], [26], [27], [28] towards automatic derivation of relations between composite nouns in noun compounds, most of them based on relations from [19]. This will result in an increasing amount of ontology describing the semantic relations between compound nouns which will also become useful for anaphora interpretation if there is an existence of a common framework.…”

Section: Discussionmentioning

confidence: 99%

“…Some works in the computational linguistics (eg. [12], [13]) assume the existence an unbounded number of relations while others (eg. [14], [15]) use categories similar to Levi's finite set.…”

Section: Related Workmentioning

confidence: 99%

A relational framework for interpreting anaphora

Nand¹,

Yeap²

2011

PsycEXTRA Dataset

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Abstract-In this paper we present a novel way to resolve indirect or bridging anaphora which gives us a richer interpretation then the current frameworks. The new framework uses the core set of relations that have been used to describe compound noun generation. We firstly argue that the linguistic processes of compound noun generation and the use of NP anaphora are based on a common relational framework. In order to validate this theory we used human annotators to interpret indirect anaphora from naturally occurring discourses. The annotators were asked to classify the relation between an anaphor and the antecedent into relation types that have been previously used to describe the relation between the modifier and the head noun of a compound noun. We obtained very encouraging results with a Fleiss's κ value of 0.66 for inter-annotation agreement. This compares well with other similar annotation experiments for relation interpretation in compound nouns. The annotation results strongly indicate that anaphora and noun compounds are based on very similar relational framework, hence should treated the same.

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“…One such relational reasoning task is the problem of compound noun interpretation, which has received a great deal of attention in recent years (Girju et al, 2005;Turney, 2006;Butnariu and Veale, 2008). In English (and other languages), the process of producing new lexical items through compounding is very frequent and very productive.…”

Section: Introductionmentioning

confidence: 99%

Using lexical and relational similarity to classify semantic relations

Séaghdha

Copestake

2009

Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics on - EACL '09

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Many methods are available for computing semantic similarity between individual words, but certain NLP tasks require the comparison of word pairs. This paper presents a kernel-based framework for application to relational reasoning tasks of this kind. The model presented here combines information about two distinct types of word pair similarity: lexical similarity and relational similarity. We present an efficient and flexible technique for implementing relational similarity and show the effectiveness of combining lexical and relational models by demonstrating state-ofthe-art results on a compound noun interpretation task.

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A concept-centered approach to noun-compound interpretation

Cited by 20 publications

References 15 publications

A Framework for Interpreting Bridging Anaphora

A Framework for Interpreting Bridging Anaphora

A relational framework for interpreting anaphora

Using lexical and relational similarity to classify semantic relations

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