• Title/Summary/Keyword: lexical approach

Search Result 75, Processing Time 0.021 seconds

English Floating Quantifiers and Lexical specification of Quantifier Retrieval

  • Yoo, Eun-Jung
    • Language and Information
    • /
    • v.5 no.1
    • /
    • pp.1-15
    • /
    • 2001
  • Floating quantifiers(FQs) in English exhibit both universal and language specific proper- ties This paper discusses how such syntactic and semantic characteristics can be explained in terms of a constraint-based, lexical approach to the floating quanti- fer construction within the framework of Head-Driven Phrase Structure Grammar(HPSG). Based on the assumption and FQs are base-generated VP modifiers, this paper proposes and account in which the semantic contribution of FQs consists of a "lexically retrieved" universal quantifier taking scope over the VP meaning.P meaning.

  • PDF

Restricting Answer Candidates Based on Taxonomic Relatedness of Integrated Lexical Knowledge Base in Question Answering

  • Heo, Jeong;Lee, Hyung-Jik;Wang, Ji-Hyun;Bae, Yong-Jin;Kim, Hyun-Ki;Ock, Cheol-Young
    • ETRI Journal
    • /
    • v.39 no.2
    • /
    • pp.191-201
    • /
    • 2017
  • This paper proposes an approach using taxonomic relatedness for answer-type recognition and type coercion in a question-answering system. We introduce a question analysis method for a lexical answer type (LAT) and semantic answer type (SAT) and describe the construction of a taxonomy linking them. We also analyze the effectiveness of type coercion based on the taxonomic relatedness of both ATs. Compared with the rule-based approach of IBM's Watson, our LAT detector, which combines rule-based and machine-learning approaches, achieves an 11.04% recall improvement without a sharp decline in precision. Our SAT classifier with a relatedness-based validation method achieves a precision of 73.55%. For type coercion using the taxonomic relatedness between both ATs and answer candidates, we construct an answer-type taxonomy that has a semantic relationship between the two ATs. In this paper, we introduce how to link heterogeneous lexical knowledge bases. We propose three strategies for type coercion based on the relatedness between the two ATs and answer candidates in this taxonomy. Finally, we demonstrate that this combination of individual type coercion creates a synergistic effect.

Constraints on the Conversion of the Participle II in German (현대 독일어 제2형 분사의 형용사 전환에 대한 제약)

  • 류병래
    • Language and Information
    • /
    • v.6 no.1
    • /
    • pp.41-69
    • /
    • 2002
  • This paper addresses the issue of constraints on the conversion of the participle II in German, proposing a constraint-based lexical semantic approach. I argue against the widely accepted syntactic view which is based on the dichotomous distinction of intransitive verbs, which has been advanced by the Unaccusative Hypothesis [Perlmutter (1978)]. Several arguments are also given against the semantic view which is based on some aspectual notions such as 'telicity', 'transformativity' or 'terminativity'. The crucial constraints on the conversion of the participle II in German, it is argued, is instead two lexical semantic entailments, movement with a definite change of location and affectedness. These and other lexical semantic entailments in the sense of Dowty (1991) are encoded into the multiple inheritance type hierarchy of qfpsoa. The proposal made in this paper is based on the multiple inheritance hierarchy which is envisaged in a recent framework of head-driven Phrase Structure Grammar.

  • PDF

Government and Derivation in Korean Phonology

  • Park, Hee-Heon;David Michaels
    • Proceedings of the KSPS conference
    • /
    • 1996.10a
    • /
    • pp.117-122
    • /
    • 1996
  • This paper proposes a derivational account of tensing and neutralization of obstruents in Korean within the theory of Government Phonology (GP) (Kaye, Lowenstamm and Vergnaud 1990, henceforth KLV; Park 1996). We begin by outling the relevant tensing and neutralization data in Korean. We point out several problems that need to be addressed in any account of these data. We then set out the central notions of GP, pointing out how adherence to the requirement that government relations remain constant throughout a derivation under the Projection Principle prevents a GP account of tensing and neutralization in Korean, which requires government relations to switch between lexical and phonetic representations. To address this problem, we propose abandoning the Projection Principle, extending lexical representations in GP along the lines of the Markedness Theory approach (Michaels 1989), and adopting the economy principles for derivation of the Minimalist approach (Chomsky 1993; Chomsky & Lasnik 1991). finally, we summarize the analysis of obstruent phenomena in Korean within GP extended in these ways.

  • PDF

Web Image Caption Extraction using Positional Relation and Lexical Similarity (위치적 연관성과 어휘적 유사성을 이용한 웹 이미지 캡션 추출)

  • Lee, Hyoung-Gyu;Kim, Min-Jeong;Hong, Gum-Won;Rim, Hae-Chang
    • Journal of KIISE:Software and Applications
    • /
    • v.36 no.4
    • /
    • pp.335-345
    • /
    • 2009
  • In this paper, we propose a new web image caption extraction method considering the positional relation between a caption and an image and the lexical similarity between a caption and the main text containing the caption. The positional relation between a caption and an image represents how the caption is located with respect to the distance and the direction of the corresponding image. The lexical similarity between a caption and the main text indicates how likely the main text generates the caption of the image. Compared with previous image caption extraction approaches which only utilize the independent features of image and captions, the proposed approach can improve caption extraction recall rate, precision rate and 28% F-measure by including additional features of positional relation and lexical similarity.

Some Issues on Causative Verbs in English

  • Cho, Sae-Youn
    • Language and Information
    • /
    • v.13 no.1
    • /
    • pp.77-92
    • /
    • 2009
  • Geis (1973) has provided various properties of the subjects and by + Gerund Phrase (GerP) in English causative constructions. Among them, the two main issues of Geis's analysis are as follows: unlike Lakoff (1965; 1966), the subject of English causative constructions, including causative-inchoative verbs such as liquefy, first of all, should be acts or events, not persons, and the by + GerP in the construction is a complement of the causative verbs. In addition to these issues, Geis has provided various data exhibiting other idiosyncratic properties and proposed some transformational rules such as the Agent Creation Rule and rule orderings to explain them. Against Geis's claim, I propose that English causative verbs require either Proper nouns or GerP subjects and that the by + GerP in the constructions as a Verbal Modifier needs Gerunds, whose understood Affective-agent subject is identical to the subject of causative verbs with respect to the semantic index value. This enables us to solve the two main issues. At the same time, the other properties Geis mentioned also can be easily accounted for in Head-driven Phrase Structure Grammar (HPSG) by positing a few lexical constraints. On this basis, it is shown that given the few lexical constraints and existing grammatical tools in HPSG, the constraint-based analysis proposed here gives a simpler explanation of the properties of English causative constructions provided by Geis without transformational rules and rule orderings.

  • PDF

Applying Lexical Semantics to Automatic Extraction of Temporal Expressions in Uyghur

  • Murat, Alim;Yusup, Azharjan;Iskandar, Zulkar;Yusup, Azragul;Abaydulla, Yusup
    • Journal of Information Processing Systems
    • /
    • v.14 no.4
    • /
    • pp.824-836
    • /
    • 2018
  • The automatic extraction of temporal information from written texts is a key component of question answering and summarization systems and its efficacy in those systems is very decisive if a temporal expression (TE) is successfully extracted. In this paper, three different approaches for TE extraction in Uyghur are developed and analyzed. A novel approach which uses lexical semantics as an additional information is also presented to extend classical approaches which are mainly based on morphology and syntax. We used a manually annotated news dataset labeled with TIMEX3 tags and generated three models with different feature combinations. The experimental results show that the best run achieved 0.87 for Precision, 0.89 for Recall, and 0.88 for F1-Measure in Uyghur TE extraction. From the analysis of the results, we concluded that the application of semantic knowledge resolves ambiguity problem at shallower language analysis and significantly aids the development of more efficient Uyghur TE extraction system.