1. Articles in category: Parsing

    73-96 of 598 « 1 2 3 4 5 6 7 ... 23 24 25 »
    1. Probabilistic learning method for XML annotation of documents

      A document processor includes a parser that parses a document using a grammar having a set of terminal elements for labeling leaves, a set of non terminal elements for labeling nodes, and a set of transformation rules. The parsing generates a parsed document structure including terminal element labels for fragments of the document and a nodes tree linking the terminal element labels and conforming with the transformation rules. An annotator-annotates the document with structural information based on the parsed document structure.

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    2. Automated parsing of e-mail messages

      An automated parser for e-mail messages identifies component parts such as header, body, signature, and disclaimer. The parser uses a hidden Markov model (HMM) in which the lines making up an e mail are treated as a sequence of observations of a system that evolves according to a Markov chain having states corresponding to the component parts. The HMM is trained using a manually-annotated set of e-mail messages, then applied to parse other e-mail messages. HMM-based parsing can be further refined or expanded using heuristic post-processing techniques that exploit redundancy of some component parts (e.g., signatures, disclaimers) across a ...

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      Mentions: Markov
    3. Joint Video and Text Parsing for Understanding Events and Answering Queries. (arXiv:1308.6628v1 [cs.CV])

      We propose a framework for parsing video and text jointly for understanding events and answering user queries. Our framework produces a parse graph that represents the compositional structures of spatial information (objects and scenes), temporal information (actions and events) and causal information (causalities between events and fluents) in the video and text.

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    4. Parse.ly Raises $5M For Predictive Analytics Platform That Helps Media Companies Decide What To Publish

      Parse.ly has raised $5 million for its platform to do analysis of web site data that does natural language processing (NLP) to define semantic relationships in data, primarily for digital media companies. The funding round was led by Grotech Ventures with participation from Blumberg Capital, ff Venture Capital, and FundersClub.

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    5. Method, device, computer program and computer program product for processing linguistic data in accordance with a formalized natural language

      A method, device and computer program product for parsing linguistic input data by a computer system, in accordance with a grammar of a Formalized Natural Language. The grammar of the Formalized Natural language is a text grammar representing an infinite set of texts of type Text and is stored in electronic form in a computer readable medium constituting a text grammar device. This text grammar is defined by a set of four elements W, N, R and Text. W is a finite set of invariable words of type Word, to be used as terminal, elementary expressions of a text. N ...

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    6. Joint disambiguation of syntactic and semantic ambiguity

      Ambiguities in a natural language expression are interpreted by jointly disambiguating multiple alternative syntactic and semantic interpretations. More than one syntactic alternative, represented by parse contexts, are analyzed together with joint analysis of referents, word senses, relation types, and layout of a semantic representation for each syntactic alternative. Best combinations of interpretations are selected from all participating parse contexts, and are used to form parse contexts for the next step in parsing.

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    7. Syntactic parsing of clinical text: guideline and corpus development with handling ill-formed sentences.

      Syntactic parsing of clinical text: guideline and corpus development with handling ill-formed sentences.

      J Am Med Inform Assoc. 2013 Aug 1;

      Authors: Fan JW, Yang EW, Jiang M, Prasad R, Loomis RM, Zisook DS, Denny JC, Xu H, Huang Y

      Abstract OBJECTIVE: To develop, evaluate, and share: (1) syntactic parsing guidelines for clinical text, with a new approach to handling ill-formed sentences; and (2) a clinical Treebank annotated according to the guidelines.

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    8. System and method for querying data streams

      A method includes parsing input from a requestor, where the input includes at least one of a query and a command that is parsed into a structured query having an indication of at least one data stream or set of data streams and at least one action to be performed on the at least one data stream or set of data streams. The method further includes mapping the structured query into a graph of processing elements that are selected and interconnected so as to execute the structured query; instantiating the graph of processing elements and connecting and initializing the instantiated ...
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    9. Method for parsing, searching and formatting of text input for visual mapping of knowledge information

      A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of indices for the knowledge map and its topics and subtopics is carried out for the subject component. If a match is found, then the subject component is taken as the existing topic. If no match is found, then the subject component is formatted as ...
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    10. Automatic data categorization with optimally spaced semantic seed terms

      A method and system for automatic data categorization in response to a user query. A document set is retrieved in response to the user query. A semantic parser parses the document set and produces semantic term-groups by parsing a semantic network of nodes. A seed ranker produces a plurality of advantageously spaced semantic seeds based on the semantic term-groups. A category accumulator stores the advantageously spaced semantic seeds. The semantic network of nodes is augmented with the advantageously spaced semantic seeds.
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    11. Efficient incremental parsing of context sensitive programming languages

      Many integrated development environments provide "intelligent feedback" to developers. Current "intelligent feedback" techniques may not work well with source code files comprising context sensitive programming languages because edits to one place in the code may change the meaning of arbitrary other places in the code, thus requiring additional full semantic parses to maintain correctness of the system. As provided herein, context-free "name" parsing may be performed to support entity candidate recursive semantic parsing in determining the meaning of the entity. A name parse may be performed to build and/or update a name table and a range table comprising names ...
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    12. Error Detection of CRF-Based Bibliography Extraction from Reference Strings

      We proposed a parsing method for reference strings usually listed at the end of research papers to extract important bibliographies such as a title from them. The method uses a conditional random field (CRF) to estimate the correct bibliographic label for each token in the token sequence generated from a reference string. Although we achieved reasonable parsing accuracies for a Japanese academic journal, errors are inevitable. Therefore, this paper proposes ways to increase confidence for CRF-based bibliography parsing to detect such parsing errors. This paper also reports an empirical evaluation of the proposed parsing on the basis not only of ...
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    13. Transition-Based Dependency Parsing With Pluggable Classifiers. (arXiv:1211.0074v1 [cs.CL])

      In principle, the design of transition-based dependency parsers makes it possible to experiment with any general-purpose classifier without other changes to the parsing algorithm. In practice, however, it often takes substantial software engineering to bridge between the different representations used by two software packages. Here we present extensions to MaltParser that allow the drop-in use of any classifier conforming to the interface of the Weka machine learning package, a wrapper for the TiMBL memory-based learner to this interface, and experiments on multilingual dependency parsing with a variety of classifiers. While earlier work had suggested that memory-based learners might be a ...
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      Mentions: Weka
    14. Semantic object synchronous understanding for highly interactive interface

      A method and system provide a speech input mode which dynamically reports partial semantic parses, while audio captioning is still in progress. The semantic parses can be evaluated with an outcome immediately reported back to the user. The net effect is that task conventionally performed in the system turn are now carried out in the midst of the user turn thereby presenting a significant departure from the turn-taking nature of a spoken dialogue.
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    15. A Novel System for Unlabeled Discourse Parsing in the RST Framework

      This paper presents UDRST, an unlabeled discourse parsing system in the RST framework. UDRST consists of a segmentation model and a parsing model. The segmentation model exploits subtree features to rerank N-best outputs of a base segmenter, which uses syntactic and lexical features in a CRF framework. In the parsing model, we present two algorithms for building a discourse tree from a segmented text: an incremental algorithm and a dual decomposition algorithm. Our system achieves 77.3% in the unlabeled score on the standard test set of the RST Discourse Treebank corpus, which improves 5.0% compared to HILDA [6 ...
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    16. Semantic Role Labelling without Deep Syntactic Parsing

      This article proposes a method of Semantic Role Labelling for languages with no reliable deep syntactic parser and with limited corpora annotated with semantic roles. Reasonable results may be achieved with the help of shallow parsing, provided that features used for training such shallow parsers include both lexical semantic information (here: hypernymy) and syntactic information. Content Type Book ChapterPages 192-197DOI 10.1007/978-3-642-33983-7_19Authors Konrad Gołuchowski, University of Warsaw, PolandAdam Przepiórkowski, Institute of Computer Science, Polish Academy of Sciences, Poland Book Series Lecture Notes in Computer ScienceOnline ISSN 1611-3349Print ISSN 0302-9743 Book Series Volume Volume 7614/2012 Book Advances in Natural ...
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    17. Shallow Parsing of Chinese Based on HMM Model

      Complete parsing is difficult to meet the need of precision and recall rate in Chinese. To address this problem, a new model for shallow parsing of Chinese is presented in this paper. We adopt Church theory and carry on Chinese phrases recognition based on HMM; improve the precision rate of sentences separation by improving the observance probabilities of HMM model and making use of the context information of the Chinese sentences. At the same time, by studying the rules of Chinese sentence, we extract some rules useful for ambiguity elimination. The experimental result indicates that the model based on HMM ...
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    18. Dependency Parsing with Efficient Feature Extraction

      The fastest parsers currently can parse an average sentence in up to 2.5ms, a considerable improvement, since most of the older accuracy-oriented parsers parse only few sentences per second. It is generally accepted that the complexity of a parsing algorithm is decisive for the performance of a parser. However, we show that the most time consuming part of processing is feature extraction and therefore an algorithm which allows efficient feature extraction can outperform a less complex algorithm which does not. Our system based on quadratic Covington’s parsing strategy with efficient feature extraction is able to parse an average ...
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    19. Evaluation of Computational Grammar Formalisms for Indian Languages. (arXiv:1209.1301v1 [cs.CL])

      Natural Language Parsing has been the most prominent research area since the genesis of Natural Language Processing. Probabilistic Parsers are being developed to make the process of parser development much easier, accurate and fast. In Indian context, identification of which Computational Grammar Formalism is to be used is still a question which needs to be answered. In this paper we focus on this problem and try to analyze different formalisms for Indian languages.
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      Mentions: Indian
    20. Messenger based system and method to access a service from a backend system

      What is described is a system and method for accessing a backend service. The method includes receiving a message at a client; parsing the message into parts of the message using a natural language processor; interpreting the parts of the message; identifying a service and a backend system based on the interpreted parts of the message; and invoking the service from the backend system.
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    21. Extraction of Semantic Relation Based on Feature Vector from Wikipedia

      In this paper, we propose a feature vector to extract semantic relations using dependency tree and parse tree. We exploit relation descriptions from infoboxes on Wikipedia documents. The features include part-of-speech, phrase label in dependency tree, and grammatical structure of phrase label, path of phrase label inherent in parse tree. In our experi ments, support vector machine and k-nearest neighbor are applied to extract relations from Wikipedia documents. Content Type Book ChapterPages 814-819DOI 10.1007/978-3-642-32695-0_78Authors Duc-Thuan Vo, Natural Language Processing Lab, School of Computer Engineering and Information Technology, University of Ulsan, KoreaCheol-Young Ock, Natural Language Processing Lab, School of ...
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    22. Weighted Semantic Parsing: A Robust Approach to Interpretation of Natural Language Queries

      This paper focuses on a grammar-based approach to semantic interpretation, which combines the notions of robust and weighted parsing. In restricted domains of application in information extraction and natural language speech based information systems this approach shows acceptable performance. We present an overview of our research carried out within the recent project ISIS (Interaction through Speech with Information Systems) where techniques based on the above notions have been applied. Content Type Book ChapterPages 243-254DOI 10.1007/978-3-7908-1834-5_23Authors Afzal Ballim, LITH-MEDIA group, École Polytechnique Fédérale de Lausanne, IN-F Ecublens, 1015 Lausanne, SwitzerlandVincenzo Pallotta, LITH-MEDIA group, École Polytechnique Fédérale de Lausanne, IN-F ...
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    73-96 of 598 « 1 2 3 4 5 6 7 ... 23 24 25 »
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