Browse by Subject "natural language processing"

  • Haythornthwaite, Caroline A.; Gruzd, Anatoliy (2008)
    Social interactions are essential in understanding the collaborative processes in networked learning environments. Although individuals may learn by retrieving information from online archives, dictionaries and encyclopaedia, ...

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  • Gruzd, Anatoliy; Haythornthwaite, Caroline A. (2008)
    To gain greater insight into the operation of online social networks, we applied Natural Language Processing (NLP) techniques to text-based communication to identify and describe underlying social structures in online ...

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  • Kruschwitz, Udo; Hopfgartner, Frank; Gurrin, Cathal (iSchools, 2014-03-01)
    This workshop brings together researchers from different streams and communities that deal with information access in the widest sense. The general goal is to foster collaboration between the different communities and to ...

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  • Fleischmann, Kenneth R.; Goggins, Sean P.; Howison, James; Lease, Matthew; Oard, Douglas W. (iSchools, 2013-02)
    Computer scientists and social scientists are major constituent groups in most iSchools. Our goal is to bring these two groups together, including social scientists who study social phenomena broadly or deeply and computer ...

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  • Diesner, Jana; Pak, Susie; Kim, Jinseok; Soltani, Kiumars; Aleyasen, Amirhossein (iSchools, 2014-03-01)
    Documentaries are meant to tell a story, that is, to create memory, imagination and sharing (Rose, 2012). Moreover, documentaries aim to lead to change in people's knowledge and/ or behavior (Barrett & Leddy, 2008). How ...

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  • Ratinov, Lev; Roth, Dan; Srikumar, Vivek (2008-01)
    The most fundamental problem in information retrieval is that of interpreting information needs of users, typically expressed in a short query. Using the surface level representation of the query is especially unsatisfactory ...

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  • Baumer, Eric P. S.; Polletta, Francesca; Pierski, Nicole; Celaya, Chris; Rosenblatt, Karen; Gay, Geri K. (iSchools, 2013-02)
    As the number and variety of sources for political information increase, it can become difficult to attend to the complexities of political issues. This difficulty lies not only in understanding what is being said, i.e. ...

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  • Oezer, Tuna (2008-02)
    This research presents a novel method for learning the lexical semantics of action verbs. The primary focus is on actions that are directed towards objects, such as kicking a ball or pushing a chair. Specifically, this ...

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  • Jiang, Jing (2008-07)
    With the fast growth of the amount of digitalized texts in recent years, text information management becomes increasingly important in people's daily life. Natural language processing provides the foundation of many modern ...

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  • Tu, Yuancheng (2012-09-18)
    The fundamental problem faced by automatic text understanding in Natural Language Processing (NLP) is to identify semantically related pieces of text and integrate them together to compute the meaning of the whole text. ...

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  • Punyakanok, Vasin (2005-12)
    A large number of problems in natural language processing (NLP) involve outputs with complex structure. Conceptually in such problems, the task is to assign values to multiple variables which represent the outputs of several ...

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  • Small, Kevin M. (2009-10-02)
    Statistical machine learning has become an integral technology for solving many informatics applications. In particular, corpus-based statistical techniques have emerged as the dominant paradigm for core natural language ...

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  • Klementiev, Alexandre A. (2010-01-06)
    Recent technological advances have facilitated the collection and distribution of a plethora of increasingly diverse and complex data. Supervised learning has been able to provide the toolbox of choice for exploiting it ...

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  • Palkar, Sukhada (2010-05)
    Textual entailment is the problem of recognizing, given two pieces of text, if the meaning of one piece of text can be inferred from (is entailed by) another. Recognizing textual entailment (RTE) is an important task in ...

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  • Yan, Jasy Liew Suet; McCracken, Nancy; Crowston, Kevin (iSchools, 2014-03-01)
    Qualitative content analysis is commonly used by social scientists to understand the practices of the groups they study, but it is often infeasible to manually code a large text corpus within a reasonable time frame and ...

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  • Chang, Ming-Wei (2012-02-06)
    Structured tasks, which often involve many interdependent decisions for each example, are the backbone for many important applications such as natural language processing tasks. The models built for structured tasks need ...

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  • Mayhew, Stephen (2014-05-30)
    We begin by giving a comprehensive literature review that ties together many fields which have heretofore remained separate. We comment on the approaches from each field and show which algorithms are similar and which are ...

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  • Roth, Dan; Sammons, Mark (2008-06)
    Traditional approaches to Natural Language Text Processing limit performance and flexibility by committing to canonical reprentations of input text, while many NLP applications for general tasks such as Textual Entailment ...

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  • Thomer, Andrea K.; Weber, Nicholas M. (iSchools, 2014-03-01)
    This poster proposes the use of Named Entity Recognition as a heuristic tool for improving manual document classification. This technique was developed as part of a project studying collaborative work via the acknowledgment ...

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