Adding semantics

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  • We investigate authorship attribution using classifiers based on frame semantics. The purpose is to discover whether adding semantic information to lexical and syntactic methods for authorship attribution will improve them, specifically to address the difficult problem of authorship attribution of translated texts.

    pdf6p hongdo_1 12-04-2013 20 3   Download

  • We describe a semantic role labeling system that makes primary use of CCG-based features. Most previously developed systems are CFG-based and make extensive use of a treepath feature, which suffers from data sparsity due to its use of explicit tree configurations. CCG affords ways to augment treepathbased features to overcome these data sparsity issues.

    pdf9p hongphan_1 14-04-2013 14 2   Download

  • Model-theoretic semantics provides a computationally attractive means of representing the semantics of natural language. However, the models used in this formalism are static and are usually infinite. Dynamic models are incomplete models that include only the information needed for an application and to which information can be added. Dynamic models are basically approximations of larger conventional models, but differ is several interesting ways. The difference discussed here is the possibility of inconsistent information being included in the model. ...

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  • To address semantic ambiguities in coreference resolution, we use Web n-gram features that capture a range of world knowledge in a diffuse but robust way. Specifically, we exploit short-distance cues to hypernymy, semantic compatibility, and semantic context, as well as general lexical co-occurrence. When added to a state-of-the-art coreference baseline, our Web features give significant gains on multiple datasets (ACE 2004 and ACE 2005) and metrics (MUC and B3 ), resulting in the best results reported to date for the end-to-end task of coreference resolution....

    pdf10p nghetay_1 07-04-2013 19 1   Download

  • Semantic role labeling is the process of annotating the predicate-argument structure in text with semantic labels. In this paper we present a state-of-the-art baseline semantic role labeling system based on Support Vector Machine classifiers. We show improvements on this system by: i) adding new features including features extracted from dependency parses, ii) performing feature selection and calibration and iii) combining parses obtained from semantic parsers trained using different syntactic views. ...

    pdf8p bunbo_1 17-04-2013 23 1   Download

  • The paper presents a constraint based semantic formalism for HPSG. The syntax-semantics interface directly implements syntactic conditions on quantifier scoping and distributivity. 1 The construction of semantic representations is guided" by general principles governing the interaction between syntax and semantics. Each of these principles acts as a constraint to narrow down the set of possible interpretations of a sentence.

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  • You learned quite a bit over the last three weeks. It is important that you have a solid foundation before adding new topics. This session will allow you to practice what you learned through a series of questions and answers.1.1. What is the purpose of /* */ at the beginning of each of the program? 1.2. This program has one line that starts with a #, and other programs have several lines that start with #. Explain their purpose. What happens if they are not included in the program? 1.3. int main () . These three parts of a function heading have specific purposes. Explain them. Does...

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  • Suppose you want to display numbers 1 to 100 on the screen. Based on what we studies so far, you will have to write one hundred cout statements. If you think about it, all you are doing is adding one to the previous number and displaying it over and over again until 100 has been displayed. Let us write the steps to do it. Number gets 1. Display the number Add one to it Repeat these two statements. Stop when 100 has been displayed. Let us rework it with some numbers. Number = 1 Do the following statements (in brackets)...

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  • Web 3.0 or Semantic Web is known as web evolution in which web content can be expressed in natural language and in an easy form that can be understood, interpreted and used by software agents in finding, sharing and integrating information more easily and conveniently as never before. John Markoff, a journalist from the New York Times first coined this term in 2006 which later came in practice. As an effective web development and a sequel to web 2.0, web 3.0 is a third generation Internet based service that gives you an added advantage of the internet technology....

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  • 1.1.3 Grammars are typically written without systematic references to the linguistic literature (unless thev are added to a quotation or are reallv unavoid- formal approaches like formal semantics or computational linguistics.

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  • This paper proposes three modules based on latent topics of documents for alleviating “semantic drift” in bootstrapping entity set expansion. These new modules are added to a discriminative bootstrapping algorithm to realize topic feature generation, negative example selection and entity candidate pruning. In this study, we model latent topics with LDA (Latent Dirichlet Allocation) in an unsupervised way. Experiments show that the accuracy of the extracted entities is improved by 6.7 to 28.2% depending on the domain. ...

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  • Place names and personal names do not fall into a well-defined set, nor do they have semantic content which can be expressed in other languages through words equivalent in meaning. As more objects are added to our database (as will happen as a museum acquires new objects), new names will be introduced, and these must also be added to the lexica for each language in the system.

    pdf5p bunrieu_1 18-04-2013 20 2   Download

  • We report work1 in progress on adding affect-detection to an existing program for virtual dramatic improvisation, monitored by a human director. To partially automate the directors’ functions, we have partially implemented the detection of emotions, etc. in users’ text input, by means of pattern-matching, robust parsing and some semantic analysis. The work also involves basic research into how affect is conveyed by metaphor.

    pdf4p bunthai_1 06-05-2013 16 2   Download

  • Despite its substantial coverage, NomBank does not account for all withinsentence arguments and ignores extrasentential arguments altogether. These arguments, which we call implicit, are important to semantic processing, and their recovery could potentially benefit many NLP applications. We present a study of implicit arguments for a select group of frequent nominal predicates. We show that implicit arguments are pervasive for these predicates, adding 65% to the coverage of NomBank.

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  • We present an elegant and extensible model that is capable of providing semantic interpretations for an unusually wide range of textual tables in documents.

    pdf8p hongvang_1 16-04-2013 21 1   Download

  • This grammar formalism, a high degree of modularity between syntax and semantics. There is a syntax rule compiler (compiling into Prolog) which takes care of the building of analysis structures and the interface to a clearly separated semantic interpretation component dealing with scoping and the construction of logical forms. The whole system can work in either a one-pass mode or a two-pass mode. [n the one-pass mode, logical forms are built directly during parsing through interleaved calls to semantics, added automatically by the rule compiler. ...

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