Báo cáo khoa học: "A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools" pot

... Association for Computational Linguistics, pages 73–76, Avignon, France, April 23 - 27 2012. c 2012 Association for Computational Linguistics NERD: A Framework for Unifying Named Entity Recognition and ... classify and disambiguate this information - they make use of different algo- rithms and provide different outputs. This paper presents NERD (Named Entity Recogni...

Ngày tải lên: 08/03/2014, 21:20

... nominal blocks and verbal blocks. Recently, Brandwood 6 has extended and elaborated the rules of Oswald and Fletcher. Reifler, 7 too, has placed emphasis on form classes and the relationship ... Army (Signal Corps), the U.S. Air Force ( Office of Scientific Research, Air Research and Development Command), and the U.S. Navy ( Office of Naval Research); and in part by th...

Ngày tải lên: 19/02/2014, 19:20

... with and comments from Barbara Grosz, Fernand,, Pcreira. Jane Robinson. and Stuart Shieber. tThe best overview of the current GPSG framework can be found in Gazdar and Pullum (1982). For :t ... closer interaction of syntax and pragmatics than is usually accounted for in formal linguistic frameworks. Computational linguists who pay attention to both syntax and pragmatics w...

Ngày tải lên: 21/02/2014, 20:20

... | . Figures 1 and 2 show the dependency between the eps parameter and the algorithm’s accuracy for different words. Figure 1: Dependency between eps and F-measure Figure 2: Dependency between eps and F-measure Table ... jour- ney”) and expressions that are invented by an au- thor (e.g. ”my heart’s in the Highlands”). More- over, the improved algorithm (Li and Sporleder, August 2...

Ngày tải lên: 07/03/2014, 22:20

... alization, and formatting. PRESENTOR is im- plemented and is portable cross-platform and cross-domain. It has been used with success in several application domains including weather forecasting, ... (producing the text string) and for- matting (determining the formatting marks to insert in the text string). Developing an appli- cation to present the information for a give...

Ngày tải lên: 08/03/2014, 05:21

... Information Extraction (Banko and Etzioni, 2008) and On-Demand Information Extraction (Sekine, 2006), which aim to extract large databases of open-ended facts, and with su- pervised relation extraction, ... understanding. Such problems can be formulated as a relation recognition task, where the information need is ex- pressed as tuples of arguments and relations. This structure...

Ngày tải lên: 17/03/2014, 02:20

... formalization of the full search space of all candidate inflection classes. With this framework in place, defining search strategies for morpheme discovery becomes a natural and straightforward ... occur in a variety of word forms. Each word form carries two pieces of information: 1) Lexical content and 2) Morphosyntactic properties. For example, the English word form gave e...

Ngày tải lên: 17/03/2014, 06:20

... 1: given potentially conflicting performance criteria such as robustness and efficiency, how can the performance of Agent A and Agent B be compared? Given values for and wi, performance can ... attributes and then for values within attributes, or to average ~ for each attribute to produce an overall t¢ for the task. 9This tagging can be hand generated, or system generated...

Ngày tải lên: 17/03/2014, 23:20

... method for PER NE, LOC NE, and ORG NE are 5%, 6%, and 34% respectively. The performance for PER and LOC are above 80%, approaching the performance of supervised learning. The reason for the ... discussed. 1 Introduction Named Entity (NE) tagging is a fundamental task for natural language processing and information extraction. An NE tagger recognizes and classifies...

Ngày tải lên: 20/02/2014, 16:20

... described in the previous sec- tion and a Levenshtein Distance calculator, for the computation of the DMA and WER of each hy- pothesis respectively. The reason for opting for a more abstract level, namely ... represent recognition hypotheses as 13- dimensional feature vectors for automatic classi- fication. The feature vectors combine recognizer confidence scores, low-level acoust...

Ngày tải lên: 31/03/2014, 20:20