Academic literature on the topic 'Semantic theory ; syntax ; natural language'

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Journal articles on the topic "Semantic theory ; syntax ; natural language"

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GAO, XIAOYU, HU YUE, L. LI, and QINGSHI GAO. "SEMANTIC-PARSING BASED ON SEMANTIC UNITS THEORY — A NEW APPROACH TO NATURAL LANGUAGES PROCESSING." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 07 (November 2008): 1447–59. http://dx.doi.org/10.1142/s0218001408006818.

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The syntax of different natural languages are different, hence the parsing of different natural languages are also different, thus leadings to structures of their parsing-trees being different. The reason that the sentences in different natural languages can be translated to each other is that they have the same meaning. This paper discusses a new sentence parsing, called semantic-parsing, based on semantic units theory. It is a new theory where a sentence of a natural language is not regarded as of words and phrases arranged linearly; rather it is expected to consist of semantic units with or without type-parameters. This is a new parsing approach where the syntax-parsing-tree and semantic-parsing-tree are isomorphic. It is also a new approach in which the structure-trees of the sentences in all different natural languages can correspond.
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Al-Janabi, Adel, Ehsan Ali Kareem, and Radhwan Hussein Abdulzhraa Al Sagheer. "Encapsulation of semantic description with syntactic components for the Arabic language." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 2 (May 1, 2021): 961. http://dx.doi.org/10.11591/ijeecs.v22.i2.pp961-967.

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<span>The work presents new theoretical equipment for the representation of natural languages (NL) in computers. Linguistics: morphology, semantics, and syntax are also presented as components of subtle computer science that form. A structure and an integrated data system. The presented useful theory of language is a new method to learn the language by separating the fields of semantics and syntax.</span>
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Boleda, Gemma. "Distributional Semantics and Linguistic Theory." Annual Review of Linguistics 6, no. 1 (January 14, 2020): 213–34. http://dx.doi.org/10.1146/annurev-linguistics-011619-030303.

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Distributional semantics provides multidimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as shown by a large body of research in computational linguistics; yet, its impact in theoretical linguistics has so far been limited. This review provides a critical discussion of the literature on distributional semantics, with an emphasis on methods and results that are relevant for theoretical linguistics, in three areas: semantic change, polysemy and composition, and the grammar–semantics interface (specifically, the interface of semantics with syntax and with derivational morphology). The goal of this review is to foster greater cross-fertilization of theoretical and computational approaches to language as a means to advance our collective knowledge of how it works.
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Ana, I. Wayan. "MAKNA “MEMANCING” BAHASA BALI DIALEK DESA LEMBONGAN: KAJIAN METABAHASA SEMANTIK ALAMI." KULTURISTIK: Jurnal Bahasa dan Budaya 1, no. 1 (July 7, 2017): 12. http://dx.doi.org/10.22225/kulturistik.1.1.213.

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[Title: Meaning of “Memancing”Balinese Language of Lembongan Village Dialect : The Study of Natural Semantics Metalanguage] The word ‘memancing” (fishing) can be found in most languages in the world and this word is unique in the Balinese Language of Lembongan Village Dialect as it various hyponymies. This research is intended to recognize and explain the meaning of “memancing” in Balinese of Lembongan Village Dialect and to preserve the lexicons that are almost extinct due to the rapid development of tourism. To analyze the problems of this research, the NSM theory is applied to the concept of semantic primitive, polysemy, allolection, and universal syntax. The phases of NSM theory in analyzing the meaning of “memancing” in BBDL are configurations of components to find out distinctive features, and explication to study the information on the meaning of “memancing” which includes entity imposed by the treatment, the equipment use, the uniqueness of movement and the expected proceeds. From the analysis, it is found that there are seven lexicons having the meaning of “memancing” with distinctive features, namely: memelas, ngerumik, ngulur, melok, muduk, maidang dan nyogonang.
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SHUANG-YUN, YAO, WANG YU-HONG, and SHEN WEI. "THEORY OF PIVOTAL CLAUSE AND CHINESE LANGUAGE PROCESSING." New Mathematics and Natural Computation 09, no. 02 (July 2013): 207–35. http://dx.doi.org/10.1142/s1793005713400048.

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This paper reports a study on the application of the theory of pivotal clause in chinese language processing. Three fundamental characteristics of Chinese grammar are briefly introduced: (i) grammatical simplification; (ii) grammatical compatibility; (iii) full exploitation of syntactic position. These characteristics may pose a great many difficulties for Chinese language processing. Based on these features, this paper argues that the theory of pivotal clause would be the best to study natural language processing taking into account the six influential theories in modern Chinese linguistics, for clause as the center of all grammatical units can both make up of sentence groups and discourse and closely relates to morphology as well as syntax. As an important theory to illustrate Chinese grammar, the theory of pivotal clause is not only in line with the characteristics of theme-oriented Chinese language but also in line with the international trend in linguistics, and it is of significance for the linguistic study of Chinese as well as for Chinese language processing. This paper also exhibits the specific application of the theory of pivotal clause in Chinese language processing based on two case studies, one of which is the segmentation and tagging of Chinese language, the other is automatic syntactic and semantic analysis of discourse coherence.
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Kotek, Hadas. "Dissociating intervention effects from superiority in English wh-questions." Linguistic Review 34, no. 2 (October 26, 2017): 397–417. http://dx.doi.org/10.1515/tlr-2017-0005.

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Abstract In wh-questions, intervention effects are detected whenever certain elements – focus-sensitive operators, negative elements, and quantifiers – c-command an in-situ wh-word. Pesetsky (2000, Phrasal movement and its kin. Cambridge, MA: MIT Press) presents a comprehensive study of intervention effects in English multiple wh-questions, arguing that intervention correlates with superiority: superiority-violating questions are subject to intervention effects, while superiority-obeying questions are immune from such effects. This description has been adopted as an explanandum in most recent work on intervention, such as Beck (2006, Intervention effects follow from focus interpretation. Natural Language Semantics 14. 1–56) and Cable (2010, The Grammar of Q: Q-particles, wh-movement, and pied-piping. Oxford University Press), a.o. In this paper, I show instead that intervention effects in English questions correlate with the available LF positions for wh-in-situ and the intervener, but not with superiority. The grammar allows for several different ways of repairing intervention configurations, including wh-movement, scrambling, Quantifier Raising, and reconstruction. Intervention effects are observed when none of these repair strategies are applicable, and there is no way of avoiding the intervention configuration – regardless of superiority. Nonetheless, I show that these results are consistent with the syntax proposed for English questions in Pesetsky (2000, Phrasal movement and its kin. Cambridge, MA: MIT Press) and with the semantic theory of intervention effects in Beck (2006, Intervention effects follow from focus interpretation. Natural Language Semantics 14. 1–56).
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GRINSTEAD, John. "Interface Delay." Journal of Child Language 48, no. 5 (July 13, 2021): 888–906. http://dx.doi.org/10.1017/s0305000921000477.

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AbstractInterface Delay is a theory of syntactic development, which attempts to explain an array of constructions that are slow to develop, which are characterized by being sensitive to discourse-pragmatic considerations of the type associated with the natural semantic class of definites. The theory claims that neither syntax itself, nor the discourse-pragmatic abilities related to executive function and theory of mind themselves are slow to develop. Rather, the claim is that the nexus or interface between the two cognitive domains is slow to develop. We review the development of subjects in child Spanish as an example of this delayed growth trajectory. Further, we review evidence that a delay in the development of tense causes concomitant delays in the seemingly unrelated phenomena of non-nominative case subject pronoun use and un-inverted wh- questions.
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Moschitti, Alessandro, Daniele Pighin, and Roberto Basili. "Tree Kernels for Semantic Role Labeling." Computational Linguistics 34, no. 2 (June 2008): 193–224. http://dx.doi.org/10.1162/coli.2008.34.2.193.

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The availability of large scale data sets of manually annotated predicate-argument structures has recently favored the use of machine learning approaches to the design of automated semantic role labeling (SRL) systems. The main research in this area relates to the design choices for feature representation and for effective decompositions of the task in different learning models. Regarding the former choice, structural properties of full syntactic parses are largely employed as they represent ways to encode different principles suggested by the linking theory between syntax and semantics. The latter choice relates to several learning schemes over global views of the parses. For example, re-ranking stages operating over alternative predicate-argument sequences of the same sentence have shown to be very effective. In this article, we propose several kernel functions to model parse tree properties in kernel-based machines, for example, perceptrons or support vector machines. In particular, we define different kinds of tree kernels as general approaches to feature engineering in SRL. Moreover, we extensively experiment with such kernels to investigate their contribution to individual stages of an SRL architecture both in isolation and in combination with other traditional manually coded features. The results for boundary recognition, classification, and re-ranking stages provide systematic evidence about the significant impact of tree kernels on the overall accuracy, especially when the amount of training data is small. As a conclusive result, tree kernels allow for a general and easily portable feature engineering method which is applicable to a large family of natural language processing tasks.
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McCawley, James D. "The biological side of Otto Jespersen’s linguistic thought." Historiographia Linguistica 19, no. 1 (January 1, 1992): 97–110. http://dx.doi.org/10.1075/hl.19.1.06mcc.

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Summary Central ideas of Darwin’s theory of natural selection figure prominently in the work of Otto Jespersen (1860–1943). As early as 1886, Jespersen treated linguistic change in Darwinian terms: variation in the pronunciation and meaning of the various units, and factors that raise or lower a variety’s viability. His critique of the neogrammarian principle of exceptionlessness of sound change includes the point that phonologically parallel words often differ in the relative viability of their variants. By 1904, Jespersen was using ‘functional load’ in explaining differences in how much resistance each language offers to various natural phonetic tendencies. He argued that conformity to a sound-symbolic generalization raises a form’s viability and can thus exempt some words from sound changes and accelerate the adoption of novel words and of novel meanings for existing words. Natural selection figures even in Jespersen’s papers on international auxiliary languages, as in his account of why bil, the winner in a contest for a word for ‘automobile’, spread so rapidly in Scandinavia. Jespersen’s speculative scenario for language origins is in terms of Darwinian ‘preadaptation’: conventionalized sound/meaning correspondences can arise in numerous ways prior to the development of anything like a language (Jespersen argues that singing, in all its diverse social functions, developed prior to language), and a language would develop not ex nihilo but by members of a human community segmenting and imposing arbitrary semantic analyses on some of this large body of meaningful sound, and starting to combine the pieces in novel ways, as modern children do anyway (Jespersen argues) in the course of acquiring a language. Jespersen thereby vindicated his unpopular conclusion that early human languages had highly irregular morphology and syntax.
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Jackendoff, Ray. "Précis of Foundations of Language: Brain, Meaning, Grammar, Evolution,." Behavioral and Brain Sciences 26, no. 6 (December 2003): 651–65. http://dx.doi.org/10.1017/s0140525x03000153.

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The goal of this study is to reintegrate the theory of generative grammar into the cognitive sciences. Generative grammar was right to focus on the child's acquisition of language as its central problem, leading to the hypothesis of an innate Universal Grammar. However, generative grammar was mistaken in assuming that the syntactic component is the sole course of combinatoriality, and that everything else is “interpretive.” The proper approach is a parallel architecture, in which phonology, syntax, and semantics are autonomous generative systems linked by interface components. The parallel architecture leads to an integration within linguistics, and to a far better integration with the rest of cognitive neuroscience. It fits naturally into the larger architecture of the mind/brain and permits a properly mentalistic theory of semantics. It results in a view of linguistic performance in which the rules of grammar are directly involved in processing. Finally, it leads to a natural account of the incremental evolution of the language capacity.
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Dissertations / Theses on the topic "Semantic theory ; syntax ; natural language"

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Holt, Alexander G. B. "Abstracting over semantic theories." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/528.

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The topic of this thesis is abstraction over theories of formal semantics for natural language. It is motivated by the belief that a metatheoretical perspective can contribute both to a better theoretical understanding of semantic theories, and to improved practical mechanisms for developing theories of semantics and combining them with theories of syntax. The argument for a new way to understand semantic theories rest spartly on the present difficulty of accurately comparing and clasifying theories, aswell as on the desire to easily combine theories that concentrate on different areas of semantics. There is a strong case for encouraging more modularity in the structure of semantic theories, to promote a division of labour, and potentially the development of reusable semantic modules. A more abstract approach to the syntax-semantics interface holds out the hope of further benefits, notably a degree of guaranteed semantic coherence via typesor constraints. Two case studies of semantic abstraction are presented. First,alternative characterizations of intensional abstraction and predication are developed with respect to three different semantic theories, but in a theory-independent fashion. Second,an approach to semantic abstraction recently proposed by Johnson and Kayis analyzed in detail,and the nature of its abstraction described with formal specifications. Finaly, a programme for modular semantic specifications is described, and applied to the area of quantification and anaphora,demonstrating succesfuly that theory-independent devices can be used to simultaneously abstract across both semantic theories and syntax-semantics interfaces.
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Öhl, Peter. "Economical computation of structural descriptions in natural language a minimally radicalist theory /." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10633960.

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Shiu, Simon K. Y. "Type theoretic semantics for semantic networks : an application to natural language engineering." Thesis, Durham University, 1996. http://etheses.dur.ac.uk/5397/.

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Semantic Networks have long been recognised as an important tool for natural language processing. This research has been a formal analysis of a semantic network using constructive type theory. The particular net studied is SemNet, the internal knowledge representation for LOLITA(^1): a large scale natural language engineering system. SemNet has been designed with large scale, efficiency, integration and expressiveness in mind. It supports many different forms of plausible and valid reasoning, including: epistemic reasoning, causal reasoning and inheritance. The unified theory of types (UTT) integrates two well known type theories, Coquand-Huet's (impredicative) calculus of constructions and Martin-Lof's (predicative) type theory. The result is a strong and expressive language which has been used for formalization of mathematics, program specification and natural language. Motivated by the computational and richly expressive nature of UTT, this research has used it for formalization and semantic analysis of SemNet. Moreover, because of applications to software engineering, type checkers/proof assistants have been built. These tools are ideal for organising and managing the analysis of SemNet. The contribution of the work is twofold. First the semantic model built has led to improved and deeper understanding of SemNet. This is important as many researchers that work on different aspects of LOLITA, now have a clear and un- ambigious interpertation of the meaning of SemNet constructs. The model has also been used to show soundess of the valid reasoning and to give a reasonable semantic account of epistemic reasoning. Secondly the research contributes to NLE generally, both because it demonstrates that UTT is a useful formalization tool and that the good aspects of SemNet have been formally presented.
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Ramos, Brás Juan Ariel. "Natural language processing and translation using augmented transition networks and semantic networks." Diss., Connect to the thesis, 2003. http://hdl.handle.net/10066/1480.

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Lin, Chi-San Althon. "Syntax-driven argument identification and multi-argument classification for semantic role labeling." The University of Waikato, 2007. http://hdl.handle.net/10289/2602.

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Semantic role labeling is an important stage in systems for Natural Language Understanding. The basic problem is one of identifying who did what to whom for each predicate in a sentence. Thus labeling is a two-step process: identify constituent phrases that are arguments to a predicate, then label those arguments with appropriate thematic roles. Existing systems for semantic role labeling use machine learning methods to assign roles one-at-a-time to candidate arguments. There are several drawbacks to this general approach. First, more than one candidate can be assigned the same role, which is undesirable. Second, the search for each candidate argument is exponential with respect to the number of words in the sentence. Third, single-role assignment cannot take advantage of dependencies known to exist between semantic roles of predicate arguments, such as their relative juxtaposition. And fourth, execution times for existing algorithm are excessive, making them unsuitable for real-time use. This thesis seeks to obviate these problems by approaching semantic role labeling as a multi-argument classification process. It observes that the only valid arguments to a predicate are unembedded constituent phrases that do not overlap that predicate. Given that semantic role labeling occurs after parsing, this thesis proposes an algorithm that systematically traverses the parse tree when looking for arguments, thereby eliminating the vast majority of impossible candidates. Moreover, instead of assigning semantic roles one at a time, an algorithm is proposed to assign all labels simultaneously; leveraging dependencies between roles and eliminating the problem of duplicate assignment. Experimental results are provided as evidence to show that a combination of the proposed argument identification and multi-argument classification algorithms outperforms all existing systems that use the same syntactic information.
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Mille, Simon. "Deep stochastic sentence generation : resources and strategies." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/283136.

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The present Ph.D. thesis addresses the problem of deep data-driven Natural Language Generation (NLG), and in particular the role of proper corpus annotation schemata for stochastic sentence realization. The lack of multilevel corpus annotation has prevented so far the development of proper statistical NLG systems starting from abstract structures. We first detail a methodology for annotating corpora at different levels of linguistic abstraction (namely, semantic, deep-syntactic, surface-syntactic, topological, and morphological levels), and report on the actual annotation of such corpora, manually for Spanish and automatically for English. Then, using the resulting annotated data for our experiments, we train and evaluate deep stochastic NLG tools which go beyond the current state of the art, in particular thanks to the absence of rules in non-isomorphic transductions. Finally, we show that such data can also serve well other purposes such as statistical surface and deep dependency parsing.
La presente tesis aborda el problema de la generación de textos partiendo desde estructuras profundas; se examina especialmente el papel de un esquema de anotación apropiado para la generación estadística de oraciones. La falta de anotación en varios niveles ha impedido hasta ahora el desarrollo de sistemas de generación estadística desde estructuras abstractas. En primer lugar, se detalla la metodología para anotar corpus en varios niveles (representaciones semánticas, sintácticas profundas, sintácticas superficiales, topológicas y morfológicas), y se presenta su proceso de anotación, manual para el español, y automático para el inglés. Posteriormente, se usan los datos anotados para entrenar y evaluar varios generadores de textos que van más allá del estado del arte actual, en particular porque no contienen reglas para transducciones no isomórficas. Por último, se muestra que estos datos se pueden utilizar también para otros objetivos tales como el análisis sintáctico estadístico de estructuras superficiales y profundas.
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Shi, Lei. "A general purpose semantic parser using FrameNet and WordNet®." Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc4483/.

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Syntactic parsing is one of the best understood language processing applications. Since language and grammar have been formally defined, it is easy for computers to parse the syntactic structure of natural language text. Does meaning have structure as well? If it has, how can we analyze the structure? Previous systems rely on a one-to-one correspondence between syntactic rules and semantic rules. But such systems can only be applied to limited fragments of English. In this thesis, we propose a general-purpose shallow semantic parser which utilizes a semantic network (WordNet), and a frame dataset (FrameNet). Semantic relations recognized by the parser are based on how human beings represent knowledge of the world. Parsing semantic structure allows semantic units and constituents to be accessed and processed in a more meaningful way than syntactic parsing, moving the automation of understanding natural language text to a higher level.
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Reul, Quentin H. "Role of description logic reasoning in ontology matching." Thesis, University of Aberdeen, 2012. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=186278.

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Semantic interoperability is essential on the Semantic Web to enable different information systems to exchange data. Ontology matching has been recognised as a means to achieve semantic interoperability on the Web by identifying similar information in heterogeneous ontologies. Existing ontology matching approaches have two major limitations. The first limitation relates to similarity metrics, which provide a pessimistic value when considering complex objects such as strings and conceptual entities. The second limitation relates to the role of description logic reasoning. In particular, most approaches disregard implicit information about entities as a source of background knowledge. In this thesis, we first present a new similarity function, called the degree of commonality coefficient, to compute the overlap between two sets based on the similarity between their elements. The results of our evaluations show that the degree of commonality performs better than traditional set similarity metrics in the ontology matching task. Secondly, we have developed the Knowledge Organisation System Implicit Mapping (KOSIMap) framework, which differs from existing approaches by using description logic reasoning (i) to extract implicit information as background knowledge for every entity, and (ii) to remove inappropriate correspondences from an alignment. The results of our evaluation show that the use of Description Logic in the ontology matching task can increase coverage. We identify people interested in ontology matching and reasoning techniques as the target audience of this work
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Packer, Thomas L. "Surface Realization Using a Featurized Syntactic Statistical Language Model." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1195.pdf.

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Necşulescu, Silvia. "Automatic acquisition of lexical-semantic relations: gathering information in a dense representation." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/374234.

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Lexical-semantic relationships between words are key information for many NLP tasks, which require this knowledge in the form of lexical resources. This thesis addresses the acquisition of lexical-semantic relation instances. State of the art systems rely on word pair representations based on patterns of contexts where two related words co-occur to detect their relation. This approach is hindered by data sparsity: even when mining very large corpora, not every semantically related word pair co-occurs or not frequently enough. In this work, we investigate novel representations to predict if two words hold a lexical-semantic relation. Our intuition was that these representations should contain information about word co-occurrences combined with information about the meaning of words involved in the relation. These two sources of information have to be the basis of a generalization strategy to be able to provide information even for words that do not co-occur.
Les relacions lexicosemàntiques entre paraules són una informació clau per a moltes tasques del PLN, què requereixen aquest coneixement en forma de recursos lingüístics. Aquesta tesi tracta l’adquisició d'instàncies lexicosemàntiques. Els sistemes actuals utilitzen representacions basades en patrons dels contextos en què dues paraules coocorren per detectar la relació que s'hi estableix. Aquest enfocament s'enfronta a problemes de falta d’informació: fins i tot en el cas de treballar amb corpus de grans dimensions, hi haurà parells de paraules relacionades que no coocorreran, o no ho faran amb la freqüència necessària. Per tant, el nostre objectiu principal ha estat proposar noves representacions per predir si dues paraules estableixen una relació lexicosemàntica. La intuïció era que aquestes representacions noves havien de contenir informació sobre patrons dels contextos, combinada amb informació sobre el significat de les paraules implicades en la relació. Aquestes dues fonts d'informació havien de ser la base d'una estratègia de generalització que oferís informació fins i tot quan les dues paraules no coocorrien.
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Books on the topic "Semantic theory ; syntax ; natural language"

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Hausser, Roland R. Computation of language: An essay on syntax, semantics, and pragmatics in natural man-machine communication. Berlin: Springer-Verlag, 1989.

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The semantic representation of natural language. London: Bloomsbury Academic, 2012.

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Knott, Alistair. Sensorimotor cognition and natural language syntax. Cambridge, MA: The MIT Press, 2012.

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Knott, Alistair. Sensorimotor cognition and natural language syntax. Cambridge, MA: The MIT Press, 2012.

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Basciano, Bianca, Franco Gatti, and Anna Morbiato. Corpus-Based Research on Chinese Language and Linguistics. Venice: Fondazione Università Ca’ Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-406-6.

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This volume collects papers presenting corpus-based research on Chinese language and linguistics, from both a synchronic and a diachronic perspective. The contributions cover different fields of linguistics, including syntax and pragmatics, semantics, morphology and the lexicon, sociolinguistics, and corpus building. There is now considerable emphasis on the reliability of linguistic data: the studies presented here are all grounded in the tenet that corpora, intended as collections of naturally occurring texts produced by a variety of speakers/writers, provide a more robust, statistically significant foundation for linguistic analysis. The volume explores not only the potential of using corpora as tools allowing access to authentic language material, but also the challenges involved in corpus interrogation, analysis, and building.
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Broekhuis, Hans, and Norbert Corver. Syntax of Dutch. NL Amsterdam: Amsterdam University Press, 2019. http://dx.doi.org/10.5117/9789463720502.

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The multi-volume work Syntax of Dutch presents a synthesis of current thinking on Dutch syntax. The text of the seven already available volumes was written between 1995 and 2015 and issued in print between 2012 and 2016. The various volumes are primarily concerned with the description of the Dutch language and, only where this is relevant, with linguistic theory. They will be an indispensable resource for researchers and advanced students of languages and linguistics interested in the Dutch language. This volume is the final one of the series and addresses issues relating to coordination. It contains three chapters. Chapter 1 discusses the syntactic and semantic properties of coordinate structures and their constituting elements, that is, the coordinators and the coordinands they link. Chapter 2 discusses the types of ellipsis known as conjunction reduction and gapping found in coordinate structures. Chapter 3 discusses elements seemingly exhibiting coordination-like properties, such as dan ‘than’ in comparative constructions like Jan is groter dan zij ‘Jan is taller than she’.
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Kuroda, S. Y. Japanese Syntax and Semantics: Collected Papers (Studies in Natural Language and Linguistic Theory, Vol 27). Springer, 1993.

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Kaplan, Ronald M. Syntax. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0004.

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This article introduces some of the phenomena that theories of natural language syntax aim to explain. It briefly discusses a few of the formal approaches to syntax that have figured prominently in computational research and implementation. The fundamental problem of syntax is to characterize the relation between semantic predicate-argument relations and the superficial word and phrase configurations by which a language expresses them. The major task of syntactic theory is to define an explicit notation for writing grammars. This article details a framework called transformational grammar that combines a context-free phrase-structure grammar with another component of transformations that specify how trees of a given form can be transformed into other trees in a systematic way. Finally, it mentions briefly two syntactic systems that are of linguistic and computational interest, namely, generalized phrase structure grammar and tree-adjoining grammars.
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Ezcurdia, Maite. Semantic complexity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198714217.003.0006.

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Neale has presented a bold empirical thesis about noun phrases in natural language, namely that they are either semantically structured restricted quantifiers or semantically unstructured rigidly referring expressions. This chapter aims to undermine this thesis by questioning whether there are any prima facie or general reasons for believing it and for adopting the strategy of explaining seeming counterexamples away. The chapter questions the second disjunct, in particular whether there are any good reasons for thinking that there are no semantically structured or complex referring expressions. It reviews a variety of considerations from reference, rigidity, the intelligibility of sentences with referring expressions, Neale’s own act-syntactic framework, and syntax. It argues that none of these provides good prima facie or general motivation for upholding the thesis. It claims that referring expressions could be semantically complex and provides some reasons for thinking that complex demonstratives are an example.
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Gutzmann, Daniel. The Grammar of Expressivity. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198812128.001.0001.

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While the expressive function of natural language has received much attention in recent years, the role grammar plays in the interpretation of expressive items has mainly been neglected in the semantic and pragmatic literature. On the other hand, while there have been syntactic studies of some expressive phenomena they do not explicitly connect to recent developments in semantics. This book bridges this gap, showing that semantics and pragmatics alone cannot capture all grammatical particularities of expressive items and that expressivity has strong syntactic reflexes that interact with the semantic interpretation and account for the mismatches between the syntax and semantics of these phenomena. The main thesis he argues for—the hypothesis of expressive syntax—is that expressivity is a syntactic feature, on a par with other established syntactic features like tense or gender. Evidence for this claim is drawn from three detailed case studies of expressive phenomena: expressive adjectives, expressive intensifiers, and expressive vocatives. These expressions exhibit some puzzling properties and by developing an account of them employing minimalist approaches to syntactic features and agreement, the author shows that expressivity, as a syntactic feature, can partake in agreement operations, trigger movement, and syntactically be selected for. This not only provides indirect evidence for the hypothesis of expressive syntax and extends the usefulness of operations on syntactic features operation beyond their traditional domains, but also highlights the hidden role grammar may play for phenomena that are often considered to be solely semantic in nature.
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Book chapters on the topic "Semantic theory ; syntax ; natural language"

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Lee, Peppina Po-lun. "The Syntax-Semantics Mappings of Affixal Quantifiers and Tripartite Structures." In Studies in Natural Language and Linguistic Theory, 121–61. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4387-8_4.

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Bayer, Josef. "Selected Earlier Work on the Syntax and Semantics of Focusing Particles." In Studies in Natural Language and Linguistic Theory, 9–41. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-017-1272-9_2.

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Coheur, Luísa, Nuno Mamede, and Gabriel G. Bès. "A Multi-use Incremental Syntax-Semantic Interface." In Advances in Natural Language Processing, 231–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30228-5_21.

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Travis, Lisa deMena. "L-Syntax and S-Syntax." In Studies in Natural Language and Linguistic Theory, 157–204. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8550-4_6.

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Pratt-Hartmann, Ian. "Semantic Complexity in Natural Language." In The Handbook of Contemporary Semantic Theory, 429–54. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118882139.ch14.

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Barrière, Caroline. "From Syntax to Semantics." In Natural Language Understanding in a Semantic Web Context, 231–54. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41337-2_12.

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Travis, Lisa. "The L-Syntax/S-Syntax Boundary: Evidence from Austronesian." In Studies in Natural Language and Linguistic Theory, 167–94. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-1580-5_9.

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Aboh, Enoch O., and James Essegbey. "The Phonology Syntax Interface." In Studies in Natural Language and Linguistic Theory, 1–9. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3189-1_1.

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Tremblay, Mireille. "The Syntax of Possession." In Studies in Natural Language and Linguistic Theory, 57–81. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3196-4_4.

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Spencer, Andrew. "Word-Formation and Syntax." In Studies in Natural Language and Linguistic Theory, 73–97. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3596-9_4.

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Conference papers on the topic "Semantic theory ; syntax ; natural language"

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He, Shexia, Zuchao Li, and Hai Zhao. "Syntax-aware Multilingual Semantic Role Labeling." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1538.

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Zhang, Yue, Rui Wang, and Luo Si. "Syntax-Enhanced Self-Attention-Based Semantic Role Labeling." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1057.

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Qian, Feng, Lei Sha, Baobao Chang, LuChen Liu, and Ming Zhang. "Syntax Aware LSTM model for Semantic Role Labeling." In Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/w17-4305.

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Li, Zuchao, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, and Luo Si. "A Unified Syntax-aware Framework for Semantic Role Labeling." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/d18-1262.

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Xia, Qingrong, Zhenghua Li, and Min Zhang. "A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1541.

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Shi, Peng, Zhiyang Teng, and Yue Zhang. "Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network." In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/d16-1098.

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Marcheggiani, Diego, and Ivan Titov. "Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.322.

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Marcheggiani, Diego, Anton Frolov, and Ivan Titov. "A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling." In Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017). Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/k17-1041.

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Yin, Pengcheng, and Graham Neubig. "TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/d18-2002.

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Ruus, Hanne, and Ebbe Spang-Hanssen. "A theory of semantic relations for large scale natural language processing." In the 11th coference. Morristown, NJ, USA: Association for Computational Linguistics, 1986. http://dx.doi.org/10.3115/991365.991371.

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