Browse by Subject "natural language processing"
Now showing items 17-24 of 24
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...
(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 ...