Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Hesham Faili"'
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 5, Iss 1, Pp 39-52 (2013)
Statistical Machine Translation (SMT) is a machine translation paradigm, in which translations are generated on the base of statistical models. In this system, parameters are derived from an analysis of a parallel corpus, and SMT quality depends on t
Externí odkaz:
https://doaj.org/article/0c483e44b1b1476e9fd6f9455b775b92
Publikováno v:
Signal and Data Processing. 16:77-90
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa0e9292ce99728b96003e9fead64835
https://doi.org/10.29252/jsdp.16.2.77
https://doi.org/10.29252/jsdp.16.2.77
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030835262
TDS
TDS
Discovering the logical sequence of events is one of the cornerstones in Natural Language Understanding. One approach to learn the sequence of events is to study the order of sentences in a coherent text. Sentence ordering can be applied in various t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01b939f93e2777cbd6f585b6ec562368
https://doi.org/10.1007/978-3-030-83527-9_27
https://doi.org/10.1007/978-3-030-83527-9_27
Autor:
Nasrin Taghizadeh, Hesham Faili
Publikováno v:
Journal of Artificial Intelligence Research. 56:61-87
Wordnets are an effective resource for natural language processing and information retrieval, especially for semantic processing and meaning related tasks. So far, wordnets have been constructed for many languages. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77ccfee343f4f85e44a6271bbfb62d06
https://doi.org/10.1613/jair.4968
https://doi.org/10.1613/jair.4968
Publikováno v:
Computación y Sistemas. 21
In this study, we identify the features of an article that encourage people to leave a comment for it. The volume of the received comments for a news article shows its importance. It also indirectly indicates the amount of influence a news article ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73d2720fbaf20d8c561cd07a96cdae29
https://doi.org/10.13053/cys-21-4-2848
https://doi.org/10.13053/cys-21-4-2848
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 420:124-133
Influence maximization is the problem of finding k most influential nodes in a social network. Many works have been done in two different categories, greedy approaches and heuristic approaches. The greedy approaches have better influence spread, but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe8ab27c94d8afa722cfdd61cb1d4478
https://doi.org/10.1016/j.physa.2014.10.088
https://doi.org/10.1016/j.physa.2014.10.088
Publikováno v:
The 5th Conference on Information and Knowledge Technology.
Social networks are valuable resources for analyzing users' natural behavior. User profile information, social links and interchanging opinions among users in these networks can be used by social analyzers to discover mental and behavioral patterns o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ad33642d8c9bcde954209e389b1ad5
https://doi.org/10.1109/ikt.2013.6620114
https://doi.org/10.1109/ikt.2013.6620114
Autor:
Parisa Saeedi, Hesham Faili
Publikováno v:
The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012).
Identifying the verb's dependents and determining the semantic role for them is a natural pre-processing step in applications such as machine translation (MT) and question answering (QA). In this paper, we present a feature set for assigning argument
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91bf794d0dcf398149177e40b8bdb853
https://doi.org/10.1109/aisp.2012.6313768
https://doi.org/10.1109/aisp.2012.6313768
Publikováno v:
2010 5th International Symposium on Telecommunications.
This paper presents a new stemmer for Persian language. We used a structural approach for stemming which uses the structure of words and morphological rules of the language to recognize the stem of each word. We composed 33 rules to describe a struct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::234f90dbcb136d0f26f6e6fffeee9339
https://doi.org/10.1109/istel.2010.5734090
https://doi.org/10.1109/istel.2010.5734090
Publikováno v:
NLPKE
Most of efficient computational approaches in NLP tasks are supervised methods which need annotated corpora. But the lack of supervised data in Persian encourages researchers to increase their interests and efforts on unsuper-vised and semi-supervise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34faf6d3343a969c05b392189595d1ca
https://doi.org/10.1109/nlpke.2009.5313851
https://doi.org/10.1109/nlpke.2009.5313851