Browse by Subject "natural language processing"

  • 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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  • Yu, Bei; Zhang, Feifei (iSchools, 2015-03-15)
    This study examines academic opinion expressions in citation context. We first developed an annotation schema to annotate three aspects of each academic opinion expressed in a citation statement: rhetorical purpose, content ...

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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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  • Karami, Amir; Gangopadhyay, Aryya; Zhou, Bin; Kharrazi, Hadi (iSchools, 2015-03-15)
    One of the challenges for text analysis in the medical domain including the clinical notes and research papers is analyzing large-scale medical documents. As a consequence, finding relevant documents has become more difficult ...

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  • Tsou, Andrew; Demarest, Bradford; Sugimoto, Cassidy R. (iSchools, 2015-03-15)
    TED Talks is one of the leading science communication initiatives in the digital age. Although previous work has analyzed the demographics of speakers & audience reaction to TED Talks, there is a dearth of research into ...

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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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  • Massung, Sean Alexander (2015-04-15)
    Non-native speakers of English far outnumber native speakers; English is the main language of books, newspapers, airports, air-traffic control, international business, academic conferences, science, technology, diplomacy, ...

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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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  • Corso, Anthony Joseph (iSchools, 2015-03-15)
    To support a dissertation proposal a link between social media, incident-based crime data, and data of public domain needed to be verified. A predictive crime-based artifact utilizing data mining and natural language ...

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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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  • Pan, Youneng; Liu, Xiaozhong (iSchools, 2015-03-15)
    Keyword metadata is very important to the retrieval and management of scientific publications. However, keyword sparseness, in the scientific repository, threatens the usability, and manually assigning keywords is laborious ...

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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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