Using Verbs to Characterize Noun-Noun Relations

Nakov, Preslav; Hearst, Marti A.

doi:10.1007/11861461_25

Cited by 42 publications

(44 citation statements)

References 28 publications

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“…We built such Google queries manually, starting with the patterns proposed by Hearst (1992) and Nakov and Hearst (2006). For example, instances of CONTENT-CONTAINER come up in response to queries such as ''* contains *'', ''* holds *'', ''the * in the *''.…”

Section: Building the Annotated Data Setsmentioning

confidence: 99%

“…The literature shows a wide variety of methods of nominal relation classification (Lapata 2002;Moldovan et al 2004;Lapata and Keller 2005;Girju et al 2005;Kim and Baldwin 2005;Nakov and Hearst 2006;Nastase et al 2006;Pantel and Pennacchiotti 2006;Pennacchiotti and Pantel 2006;Turney 2005). They depend as much on the training data as on the domain of application and the available resources.…”

Section: Introductionmentioning

confidence: 97%

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Classification of semantic relations between nominals

Gîrju

Nakov

Năstase

et al. 2009

Lang Resources & Evaluation

Self Cite

108

112

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The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of semantic relations in text. We present the development and evaluation of a semantic analysis task: automatic recognition of relations between pairs of nominals in a sentence. The task was part of SemEval-2007, the fourth edition of the semantic evaluation event previously known as SensEval. Apart from the observations we have made, the long-lasting effect of this task may be a framework for comparing approaches to the task. We introduce the problem of recognizing relations between nominals, and in particular the process of drafting and refining the definitions of the semantic relations. We show how we created the training and test data, list and briefly describe the 15 participating systems, discuss the results, and conclude with the lessons learned in the course of this exercise.

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Section: Building the Annotated Data Setsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Classification of semantic relations between nominals

Gîrju

Nakov

Năstase

et al. 2009

Lang Resources & Evaluation

Self Cite

108

112

View full text Add to dashboard Cite

show abstract

“…As previously mentioned, NCs designating processes all have underlying propositions. Nakov and Hearst (2006) confirmed that verb paraphrases are useful for disambiguating these compound terms and eliciting their meaning. Thus, in order to access the concordances that allude to the semantics of the MWT in question, we not only downloaded the concordance lines where the NC appeared but also the concordances where paraphrases had been used (see Figure 1).…”

Section: Methodsmentioning

confidence: 56%

Semantic annotation to characterize contextual variation in terminological noun compounds: a pilot study

Cabezas-García¹,

Martín²

2017

Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)

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Noun compounds (NCs) are semantically complex and not fully compositional, as is often assumed. This paper presents a pilot study regarding the semantic annotation of environmental NCs with a view to accessing their semantics and exploring their domain-based contextual variation. Our results showed that the semantic annotation of NCs afforded important insights into how context impacts their conceptualization.

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“…There have been two general lines of research: the first one derives the noun compound semantics from the semantics of the nouns it is made of [Rosario et al 2002;Moldovan et al 2004;Kim and Baldwin 2005;Tratz and Hovy 2010], while the second one models the relationship between the nouns directly [Vanderwende 1994;Lapata 2002;Kim and Baldwin 2006;Nakov and Hearst 2006;Butnariu and Veale 2008].…”

Section: Noun Compounds In Computational Linguisticsmentioning

confidence: 99%

Semantic interpretation of noun compounds using verbal and other paraphrases

Nakov

Hearst

2013

ACM Trans. Speech Lang. Process.

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We study the problem of semantic interpretation of noun compounds such as bee honey, malaria mosquito, apple cake, and stem cell. In particular, we explore the potential of using predicates that make explicit the hidden relation that holds between the nouns that form the noun compound. For example, mosquito that carries malaria is a paraphrase of the compound malaria mosquito in which the verb explicitly states the semantic relation between the two nouns. We study the utility of using such paraphrasing verbs, with associated weights, to build a representation of the semantics of a noun compound, e.g., malaria mosquito can be represented as follows: carry (23), spread (16), cause (12), transmit (9), etc. We also explore the potential of using multiple paraphrasing verbs as features for predicting abstract semantic relations such as CAUSE, and we demonstrate that using explicit paraphrases can help improve statistical machine translation.

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Using Verbs to Characterize Noun-Noun Relations

Cited by 42 publications

References 28 publications

Classification of semantic relations between nominals

Classification of semantic relations between nominals

Semantic annotation to characterize contextual variation in terminological noun compounds: a pilot study

Semantic interpretation of noun compounds using verbal and other paraphrases

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