Results 1 - 10
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240
Toward entity retrieval over structured and text data
- In WIRD’04
, 2004
"... Many real-world applications increasingly involve both structured data and text. Hence, managing both in an efficient and integrated manner has received much attention from both the IR and database communities. To date, however, little research has been devoted to semantic issues in the integration ..."
Abstract
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Cited by 7 (1 self)
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case study of retrieving information about a researcher from both the Web and a bibliographic database (DBLP). We propose several methods for exploiting the structured information in the database to improve entity retrieval over the text collection. Specifically, we present a query expansion mechanism
Instance pruning by filtering uninformative words: an Information Extraction case study
- In Proceedings of the Sixth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2005
, 2005
"... Abstract. In this paper we present a novel instance pruning technique for Information Extraction (IE). In particular, our technique filters out uninformative words from texts on the basis of the assumption that very frequent words in the language do not provide any specific information about the tex ..."
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Cited by 1 (0 self)
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Abstract. In this paper we present a novel instance pruning technique for Information Extraction (IE). In particular, our technique filters out uninformative words from texts on the basis of the assumption that very frequent words in the language do not provide any specific information about
Extracting event-related information from article updates in wikipedia
- In Proceedings of ECIR ’13
, 2013
"... Abstract. Wikipedia is widely considered the largest and most up-to-date online encyclopedia, with its content being continuously maintained by a supporting community. In many cases, real-life events like new sci-entific findings, resignations, deaths, or catastrophes serve as triggers for collabora ..."
Abstract
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Cited by 10 (5 self)
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can be employed for automatically detecting event-related updates. Our experiments on event extraction, clustering, and summarization show promising results towards generating entity-specific news tickers and timelines. 1
Remembering over the short-term: The case against the standard model.
- Annual Review of Psychology,
, 2002
"... s Abstract Psychologists often assume that short-term storage is synonymous with activation, a mnemonic property that keeps information in an immediately accessible form. Permanent knowledge is activated, as a result of on-line cognitive processing, and an activity trace is established "in&quo ..."
Abstract
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Cited by 74 (0 self)
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(1999) recently suggested that "the ability to read or extract information from phonological memory quickly" might be involved; PROBLEMS WITH DECAY The second arm of the standard model is decay, defined as the loss of trace information exclusively as a function of time. Activation
Detection of genre-specific musical instruments: The case of the mellotron
"... When facing the problem of organizing, categorizing, browsing and retrieving data from large music collections, musical instruments play a predominant role, as they define the timbral qualities in any piece of music. Recent technological developments in digital audio have made possible to automatize ..."
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, based on the idea that it is possible to train classifiers with audio descriptors (temporally integrated from the raw feature values extracted from polyphonic audio data) using extensive datasets. A series of experiments were designed in order to gather information about the specific descriptors
LEADERS ON THE COUCH: THE CASE OF ROBERTO CALVI
"... I would like to express my appreciation for the help of ..."
Fact-Focused Novelty Detection: a Feasibility Study ABSTRACT
"... Methods for detecting sentences in an input document set, which are both relevant and novel with respect to an information need, would be of direct benefit to many systems, such as extractive text summarizers. However, satisfactory levels of agreement between judges performing this task manually hav ..."
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Methods for detecting sentences in an input document set, which are both relevant and novel with respect to an information need, would be of direct benefit to many systems, such as extractive text summarizers. However, satisfactory levels of agreement between judges performing this task manually
Mining Console Logs for Large-Scale System Problem Detection
"... The console logs generated by an application contain messages that the application developers believed would be useful in debugging or monitoring the application. Despite the ubiquity and large size of these logs, they are rarely exploited in a systematic way for monitoring and debugging because the ..."
Abstract
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Cited by 24 (0 self)
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they are not readily machine-parsable. In this paper, we propose a novel method for mining this rich source of information. First, we combine log parsing and text mining with source code analysis to extract structure from the console logs. Second, we extract features from the structured information in order to detect
Using the NITE XML Toolkit on the Switchboard Corpus to study syntactic choice: a case study
"... The NITE XML Toolkit (NXT) provides library support for working with multimodal language corpora. We describe our experiences in using it to study discourse effects on syntactic choice using the parsed Switchboard Corpus as a starting point, as a case study for others who may wish to adopt similar t ..."
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The NITE XML Toolkit (NXT) provides library support for working with multimodal language corpora. We describe our experiences in using it to study discourse effects on syntactic choice using the parsed Switchboard Corpus as a starting point, as a case study for others who may wish to adopt similar
Using the NITE XML Toolkit on the Switchboard Corpus to study syntactic choice: a case study
"... The NITE XML Toolkit (NXT) provides library support for working with multimodal language corpora. We describe our experiences in using it to study discourse effects on syntactic choice using the parsed Switchboard Corpus as a starting point, as a case study for others who may wish to adopt similar t ..."
Abstract
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The NITE XML Toolkit (NXT) provides library support for working with multimodal language corpora. We describe our experiences in using it to study discourse effects on syntactic choice using the parsed Switchboard Corpus as a starting point, as a case study for others who may wish to adopt similar
Results 1 - 10
of
240