Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Janara Christensen"'
Publikováno v:
EMNLP
When the semantics of a sentence are not representable in a semantic parser's output schema, parsing will inevitably fail. Detection of these instances is commonly treated as an out-of-domain classification problem. However, there is also a more subt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::463d42fcf2e40221279651e0b66bf042
Autor:
Sumit Basu, Janara Christensen
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 27:109-115
Given a classification task, what is the best way to teach the resulting boundary to a human? While machine learning techniques can provide excellent methods for finding the boundary, including the selection of examples in an online setting, they tel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578dee98cfe78248d2b140dd93c26c7f
https://doi.org/10.1609/aaai.v27i1.8623
https://doi.org/10.1609/aaai.v27i1.8623
Autor:
Benjamin J. Anderson, Leah E. Steinberg, Janara Christensen, Jeffrey Rzeszotarski, Catherine Nelson, Emma Turetsky, Robert Atlas, Lei Chen, David C. Snyder, David R. Musicant, Deborah S. Gross, Sami Benzaid, Jon Sulman, Jamie Olson, James J. Schauer, Anna Ritz, Thomas G. Smith
Publikováno v:
Environmental Modelling & Software. 25:760-769
Here we present a new open-source software package designed to facilitate the analysis of atmospheric data, with emphasis on data mining applications applied to single-particle mass spectrometry data from aerosol particles. The software package, Ench
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d357b646c3b64a666cdaa4e94f7eb959
https://doi.org/10.1016/j.envsoft.2009.12.001
https://doi.org/10.1016/j.envsoft.2009.12.001
Publikováno v:
ACL (1)
Multi-document summarization (MDS) systems have been designed for short, unstructured summaries of 10-15 documents, and are inadequate for larger document collections. We propose a new approach to scaling up summarization called hierarchical summariz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67fd4a246daa72d38c81c98fb630beb1
https://doi.org/10.3115/v1/p14-1085
https://doi.org/10.3115/v1/p14-1085
Publikováno v:
K-CAP
Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic features, we investigate the use of semantic role labeling techniques for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5574ba9df0383cb4c4db0af2d3ff8bb1
https://doi.org/10.1145/1999676.1999697
https://doi.org/10.1145/1999676.1999697
Publikováno v:
ICDM
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on this classic problem where, instead of having the training set contain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa61c3049964852e48f32b3d337d46bb
https://doi.org/10.1109/icdm.2007.50
https://doi.org/10.1109/icdm.2007.50
Publikováno v:
40th AIAA Aerospace Sciences Meeting & Exhibit.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba08dafaa485e760a374f889bfde4699
https://doi.org/10.2514/6.2002-730
https://doi.org/10.2514/6.2002-730