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检索条件"任意字段=7th International Conference on Advanced Language Processing and Web Information Technology"

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In-tool learning for selective manual annotation in Large Corpora 53

In-tool learning for selective manual annotation in Large Co...

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53rd Annual Meeting of the Association for Computational Linguistics and the 7th international Joint conference on Natural language processing, ACL-IJCNLP 2015

作者： Do Dinh, Erik-Lân De Castilho, Richard Eckart Gurevych, Iryna Department of Computer Science Technische Universität Darmstadt Germany German Institute for Educational Research and Educational Information Germany

ISBN: (纸本)9781941643990

We present a novel approach to the selective annotation of large corpora through the use of machine learning. Linguistic search engines used to locate potential instances of an infrequent phenomenon do not support ranking the search results. this favors the use of high-precision queries that return only a few results over broader queries that have a higher recall. Our approach introduces a classifier used to rank the search results and thus helping the annotator focus on those results with the highest potential of being an instance of the phenomenon in question, even in low-precision queries. the classifier is trained in an in-tool fashion, except for preprocessing relying only on the manual annotations done by the users in the querying tool itself. To implement this approach, we build upon CSniper1, a web-based multi-user search and annotation tool. © 2015 ACL and AFNLP.

关键词： Search engines

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A Cross-lingual part-of-speech tagging for Malay language 7

A Cross-lingual part-of-speech tagging for Malay language

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7th international conference on Agents and Artificial Intelligence, ICAART 2015

作者： Zamin, Norshuhani Bakar, Zainab Abu Faculty of Science and Information Technology Universiti Teknologi PETRONAS Perak Malaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Selangor Malaysia

ISBN: (纸本)9789897580741

Cross-lingual annotation projection methods can benefit from rich-resourced languages to improve the performance of Natural language processing (NLP) tasks in less-resourced languages. In this research, Malay is experimented as the less-resourced language and English is experimented as the rich-resourced language. the research is proposed to reduce the deadlock in Malay computational linguistic research due to the shortage of Malay tools and annotated corpus by exploiting state-of-the-art English tools. this paper proposed a cross-lingual annotation projection based on word alignment of two languages with syntactical differences. A word alignment method known as MEWA (Malay-English Word Aligner) that integrates a Dice Coefficient and bigram string similarity measure is proposed. MEWA is experimented to automatically induced annotations using a Malay test collection on terrorism and an identified English tool. In the POS annotation projection experiment, the algorithm achieved accuracy rate of 79%.

关键词： Computational linguistics

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Cultural Capital at Work in Facebook Users' Selection of Different languages 17th

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7th international conference on Cross-Cultural Design (CCD) Held as Part of 17th international conference on Human-Computer Interaction (HCI international)

作者： Wang, Jieyu Joardar, Satarupa Univ Maryland Baltimore Cty Dept Informat Syst Baltimore MD 21228 USA Univ Maryland Baltimore Cty Dept Language Literacy & Culture Baltimore MD 21228 USA

ISBN: (纸本)9783319209340;9783319209333

As the number of international users on Facebook has increased, users with multi-lingual backgrounds showed their diversity in language selections. Some research has studied how Facebook affects users' social capital. this study examines users' language selection behaviors and analyzes their selections by applying the concept of cultural capital. It aims to provide information to designers to develop cross-cultural applications or web pages on Facebook, for example, advanced translation tools or different language versions of web pages with cultural elements. the cross-cultural design might attract more international users and improve the website's usability. through observing 83 active Facebook users' status updates and interviews with 10 users with multi-lingual backgrounds, we find that audience, locality and context are three important factors that affect users' language selections. It showed that users' language proficiency plays a role when users choose the language in their posts and comments. the characteristics of different languages also affect users' language selections when they update their status and interact with other users on Facebook. Furthermore, some users prefer to use their native languages or heritage languages other than English on Facebook because they want to show their cultural capital and keep their cultural heritage alive.

关键词： CSCW Cross-cultural design Cultural capital Multi-lingual Locality Context Audience language proficiency

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Optimizing Dependency Parsing throughput 7

Optimizing Dependency Parsing Throughput

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7th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)

作者： Weichselbraun, Albert Susstrunk, Norman Univ Appl Sci Chur Dept Informat Pulvermuhlestr 57 Chur Switzerland

ISBN: (纸本)9789897581649

Dependency parsing is considered a key technology for improving information extraction tasks. Research indicates that dependency parsers spend more than 95% of their total runtime on feature computations. Based on this insight, this paper investigates the potential of improving parsing throughput by designing feature representations which are optimized for combining single features to more complex feature templates and by optimizing parser constraints. Applying these techniques to MDParser increased its throughput four fold, yielding Syntactic Parser, a dependency parser that outperforms comparable approaches by factor 25 to 400.

关键词： Natural language processing Dependency Parsing Performance Optimization throughput

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Place name ambiguities in Urban Planning Domain Ontology 7

Place name ambiguities in Urban Planning Domain Ontology

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7th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015

作者： Liao, Yi-Pei Lin, Feng-Tyan Department of Urban Planning National Cheng Kung University Tainan Taiwan College of International and Cross-Strait Education Asia University Taichung Taiwan

ISBN: (纸本)9789897581588

Integrating spatial information is a crucial step in construction of Urban Planning Domain Ontology (UPDO), and taking spatial information from the web as the input of self-learning method are commonly used in constructing ontology. In this case, the use of place names could be important indicators of understanding the spatial information on the web. However, place names expressed in natural language bring diverse ambiguities, which would bring great challenges to several research fields such as Geographic information System (GIS) and Geographic information Retrieval (GIR). GIR has more contribution on place name ambiguities than GIS. Nevertheless, from the perspective of the urban planning domain, it is still lacking in application. this paper is a position paper that aims to bring out an argument of place name ambiguities in UPDO, and introduce two kinds of ambiguity frequently appearing in the urban planning domain. the paper also proposes a hierarchical structure of spatial ontology that allows constructors to deal with ambiguities. We believe in that the ambiguity issue is critical for urban planning, and the argument is worth discussing to all relevant domains. Copyright © 2015 by SCITEPRESS - Science and technology Publications, Lda. All rights reserved.

关键词： Urban planning

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Towards a business process model transformations framework 11th

Towards a business process model transformations framework

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11th international Workshop on Enterprise and Organizational Modeling and Simulation, EOMAS 2015, Held at international conference on advanced information Systems Engineering, CAiSE 2015

作者： Bouchbout, Khoutir Khaldoun, Sarah Marouf, Saber Computer Science Research Unit EMP University Algiers Algeria

ISBN: (纸本)9783319246253

the essential purpose of Business Process Management (BPM) is to construct processes which yield a profit for enterprise. In today’s business world, there is a strong need for adopting a BPM approach based on Service Oriented Architecture (SOA) paradigm that can be applied to execute and manage IT-enabled business processes. Hence, the proposed BP model transformations framework combines BPM concepts and web services which is an application of SOA technology. Two basic categories of BP modelling languages can be recognized: block-oriented languages and graph-oriented languages. Our work details the implementation of the transformation of Business Process Modelling Notation (BPMN) process model to Business Process Execution language (BPEL) process model by means of transformation rules implemented as an Eclipse plug-ins. Finally, we develop also a software tool by applying Petri Nets analysis techniques to statically check if it satisfies a number of semantic conditions. © Springer international Publishing Switzerland 2015.

关键词： web services

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advanced Techniques for Reconstruction of Incomplete Network Data 1

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7th international ICST conference on Digital Forensics and Cyber Crime (ICDF2C)

作者： Matousek, Petr Pluskal, Jan Rysavy, Ondrej Vesely, Vladimir Kmet, Martin Karpisek, Filip Vymlatil, Martin Brno Univ Technol Bozetechova 2 CS-61090 Brno Czech Republic

ISBN: (数字)9783319255125

ISBN: (纸本)9783319255125;9783319255118

Network forensics is a method of obtaining and analyzing digital evidences from network sources. Network forensics includes data acquisition, selection, processing, analysis and presentation to investigators. Due to high volumes of transmitted data the acquired information can be incomplete, corrupted, or disordered which makes further reconstruction difficult. In this paper, we address the issue of advanced parsing and reconstruction of incomplete, corrupted, or disordered data packets. We introduce a technique that recovers TCP or UDP conversations so they could be further analyzed by application parsers. Presented technique is implemented in a new network forensic tool called Netfox Detective. We also discuss current challenges in parsing web mail communication, SSL decryption and Bitcoins detection.

关键词： Network forensic tools TCP reassembling Traffic reconstruction web mail Bitcoin SSL encryption

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Word Sense Disambiguation for Assamese

Word Sense Disambiguation for Assamese

引用

IEEE international Advance Computing conference

作者： Jumi Sarmah Shikhar Kr. Sarma Dept of Information Technology Gauhati University

ISBN: (纸本)9781467382878

Word Sense Disambiguation (WSD) is the process of identifying the proper sense of an ambiguous word depending on the particular context. It is to find the accurate sense s_i among the set of senses {s_1, s_2, ..., s_n}. this task was motivated by its interpretation in various Natural language processing (NLP) applications like IR, MT, QA, TC, SP etc. In this paper, machine learning technique - Naive Bayes Classifier was used for automatic disambiguation task. Training data was prepared with sense annotated features. For preparing sense annotated data we took help of the sense inventory. Currently, about 160 ambiguous words are present in the sense inventory derived from 18K and 25K words from Assamese Corpus and WordNet. the system is implemented in two phases. In the first phase, a total of 2.7K sense annotated training data and 800 test data were taken and a result of 71% accuracy was found. Analyzing the result depicts that accuracy improves as the training data size gradually increases and by the learned model generated in the previous iteration. In second phase we manually validate the outcomes of first-phase and we add those clean sense tagged data to previous training data set. than we train our system with our incresing training data (3.5K) which enhance the result accuracy. An iterative learning is adopted by the system and more accuracy of 7% is achieved. this paper aims to implement Assamese WSD system by NB classifier using lexical features and enhancement of the baseline method turns out in improving the classifier accuracy to 78%.

关键词： WSD Naive Bayes Classifier (NB) WordNet Corpus

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An aspect-oriented extension to the OWL API - Specifying and composing views of OWL ontologies using ontology aspects and Java annotations 7

An aspect-oriented extension to the OWL API - Specifying and...

引用

7th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015

作者： Schäfermeier, Ralph Krus, Lidia Paschke, Adrian Corporate Semantic Web Group Institute of Computer Science Freie Universität Berlin Berlin Germany

ISBN: (纸本)9789897581588

Aspect-Oriented Programming (AOP) is a technology for the decomposition of software systems based on cross-cutting concerns. As shown in our previous work, cross-cutting concerns are also present in ontologies, and Aspect-Oriented Ontology Development (AOOD) can be used for flexible and dynamic ontology modularization based on functional and non-functional requirements. When ontologies are used in applications, application and ontology-related requirements often coincide. In this paper, we show that aspects in ontologies can be expressed as software aspects and directly referred to from software code using the well-known AspectJ language and Java annotations. We present an extension of the well-known OWL API with aspect-oriented means that allow transparent access to and manipulation of ontology modules that are based on requirements. Copyright © 2015 by SCITEPRESS - Science and technology Publications, Lda. All rights reserved.

关键词： Ontology

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Mining significant frequent patterns in parallel episodes with a graded notion of synchrony and selective participation 7

Mining significant frequent patterns in parallel episodes wi...

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7th international Joint conference on Computational Intelligence, IJCCI 2015

作者： Ezennaya-Gomez, Salatiel Borgelt, Christian 33600 Spain Department of Knowledge and Language Processing Otto-von-Guericke University Magdeburg Germany

ISBN: (纸本)9789897581571

We consider the task of finding frequent parallel episodes in parallel point processes (or event sequences), allowing for imprecise synchrony of the events constituting occurrences (temporal imprecision) as well as incomplete occurrences (selective participation). the temporal imprecision problem is tackled by frequent pattern mining using a graded notion of synchrony that captures both the number of instances of a pattern as well as the precision of synchrony of its events. To cope with selective participation, a reduction sequence of items (or event types) is formed based on found frequent patterns and guided by pattern overlap. We evaluate the performance of this method on a large number of data sets with injected parallel episodes. We demonstrate that, in contrast to binary synchrony where it pays to consider the pattern instances, graded synchrony performs better with a pattern-based scheme than with an instance-based one, thus simplifying the procedure. Copyright © 2015 by SCITEPRESS - Science and technology Publications, Lda.

关键词： Data mining

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