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Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach

William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W Cohen
2014 Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)  
We formulate the dependency parsing problem as many small and parallelizable arc prediction tasks: for each task, we use a programmable probabilistic firstorder logic to infer the dependency arc of a token  ...  We present a new GFL/FUDG-annotated Chinese treebank with more than 18K tokens from Sina Weibo (the Chinese equivalent of Twitter).  ...  While Weibo posts are abundantly available, NLP techniques for analyzing Weibo posts have not been well-studied in the past.  ... 
doi:10.3115/v1/d14-1122 dblp:conf/emnlp/WangKMC14 fatcat:zqvwuwp6irgcfnyoq6x4u4bqfi

Using Adaptive Automata in Grammar Based Text Compression to Identify Frequent Substrings

Newton Kiyotaka Miura, João José Neto
2019 Zenodo  
Compression techniques allow reduction in the data storage space required by applications dealing with large amount of data by increasing the information entropy of its representation.  ...  [21] proposed two algorithms that improved the space required by the RePair algorithm, one with linear time complexity and other with O(l log l). Maruyama et al.  ...  These features are attractive for improving efficiency in processing large volume of data.  ... 
doi:10.5281/zenodo.3484443 fatcat:i3kjbzkeebbz5hpjf36gupoxg4

BBN's PLUM Probabilistic Language Understanding system

Ralph Weischedel, June Abe, Hiroto Hosihi, Yoichi Miyamoto, Scott Miller, Damaris Ayuso, Sean Boisen, Heidi Fox, Tomoyoshi Matsukawa, Constantine Papageorgiou, Dawn MacLaughlin, Masaichiro Kitawa (+1 others)
1993 Proceedings of a workshop on held at Fredericksburg, Virginia September 19-23, 1993 -  
-4 to deal with certain grammatical forms, such as corporation names.  ...  POST tags each word with one of 47 possible tags with 97% accuracy for known words.  ... 
doi:10.3115/1119149.1119171 dblp:conf/tipster/Group93 fatcat:s672zvd7lncthin6c5qq6ias5y

SMArTIC

David Lo, Siau-Cheng Khoo
2006 Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering - SIGSOFT '06/FSE-14  
Software specification mining is a new technique to address this concern by inferring specifications automatically.  ...  In this paper, we propose a novel API specification mining architecture called SMArTIC (Specification Mining Architecture with Trace fIltering and Clustering) to improve the accuracy, robustness and scalability  ...  Patrick for letting us use their sk-strings learner in our experiment, and Glenn Ammons and Rastislav Bodik for sharing the detail of their coring algorithm.  ... 
doi:10.1145/1181775.1181808 dblp:conf/sigsoft/LoK06 fatcat:ir2kpmdp75hftgysyqd6soir24

High-level information fusion and situation awareness

Mieczyslaw M. Kokar, Gee Wah Ng
2009 Information Fusion  
The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.  ...  In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository.  ...  The paper proposes a ''grammatical approach" that combines ''syntactic inference with semantic representation".  ... 
doi:10.1016/j.inffus.2008.05.003 fatcat:cwmuadvtlngczg5illfdvg3hsa

Computing as compression: the SP theory of intelligence [article]

J Gerard Wolff
2013 arXiv   pre-print
) of patterns, and that computing and information compression are both fundamentally probabilistic.  ...  It appears that the SP system is Turing-equivalent in the sense that anything that may be computed with a Turing machine may, in principle, also be computed with an SP machine.  ...  Grammatical rules, including words and their grammatical categories, may be represented with SP patterns.  ... 
arXiv:1303.2013v1 fatcat:fft7sa2ln5cvxdxwovuukvlx7y

Computing as compression: An overview of the SP theory and system

J. Gerard Wolff
1995 New generation computing  
) of patterns, and that computing and information compression are both fundamentally probabilistic.  ...  It appears that the SP system is Turing-equivalent in the sense that anything that may be computed with a Turing machine may, in principle, also be computed with an SP machine.  ...  Grammatical rules, including words and their grammatical categories, may be represented with SP patterns.  ... 
doi:10.1007/bf03038313 fatcat:ppflwe5owbhxffqad7pvqrxhyq

Adaptive Symbolic Control for Finite-State Transition Systems With Grammatical Inference

Jie Fu, Herbert G. Tanner, Jeffrey Heinz, Jane Chandlee
2014 IEEE Transactions on Automatic Control  
Comparison with the previous works indicates that a considerable improvement in the delay bounds for stability is achieved.  ...  Abstract-This note presents an approach that integrates elements from grammatical inference and game theory to address the problem of supervising finite-state transition systems operating in adversarial  ...  The note shows that with the suggested introduction of grammatical inference, control synthesis is decoupled from learning, and the latter can be performed outside a probabilistic framework.  ... 
doi:10.1109/tac.2013.2272885 fatcat:xjscubhxwrhrfcptyt7u4mjan4

Commonsense-based topic modeling

Dheeraj Rajagopal, Daniel Olsher, Erik Cambria, Kenneth Kwok
2013 Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining - WISDOM '13  
These features are then clustered using group average agglomerative clustering, providing much improved performance over existing algorithms.  ...  In contrast to probabilistic models, the proposed approach does not involve training of any kind and does not depend on word co-occurrence or particular word distributions, making the algorithm effective  ...  Access to this knowledge permits the creation of 'smart' topic modeling algorithms that take semantics into account, offering improved performance over probabilistic models.  ... 
doi:10.1145/2502069.2502075 dblp:conf/kdd/RajagopalOCK13 fatcat:4epfmldgefhv7ctwhwc4fyn64u

Artificial Intelligence Based Malware Analysis [article]

Avi Pfeffer, Brian Ruttenberg, Lee Kellogg, Michael Howard, Catherine Call, Alison O'Connor, Glenn Takata, Scott Neal Reilly, Terry Patten, Jason Taylor, Robert Hall, Arun Lakhotia (+3 others)
2017 arXiv   pre-print
Due to the sophistication of the malware and the analysis, the MAAGI system relies heavily on artificial intelligence techniques to provide this capability.  ...  While all of these methods have been shown to be effective, the MAAGI system relies heavily on AI techniques to mostly automate the entire process of inferring lineages with diverse structure.  ...  Finally, during the lineage phase of our algorithm, we iterate between improving the lineage and improving the creation time.  ... 
arXiv:1704.08716v1 fatcat:sbxfrlanfrbmnemou5sl7b4awe

State of Art for Semantic Analysis of Natural Language Processing

Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed A. Mohammed Sadeeq, Karzan Hussein Sharif
2021 Qubahan Academic Journal  
In this article, semantic interpretation is carried out in the area of Natural Language Processing.  ...  The dependency parsing algorithm is central. Grammar-based algorithms than other grammatical algorithms better support some grammatical sentences. Improvements may also be extended to other systems.  ...  by inference algorithms, and classifying and clustering papers [20] .  ... 
doi:10.48161/qaj.v1n2a44 fatcat:ie7ddgixprhzffxkyuklkdktzy

Using Bio-inspired intelligence for Web opinion Mining

George Stylios, Christos D. Katsis, Dimitris Christodoulakis
2014 International Journal of Computer Applications  
The obtained results are compared with a commonly used machine learning technique (decision trees-C4.5 algorithm).  ...  This work proposes a bio-inspired based methodology in order to extract and evaluate user's web texts / posts.  ...  The Ant Colony Optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.  ... 
doi:10.5120/15207-3610 fatcat:di3rpxkio5dsbiw5s5ukbni46a

Topic-level opinion influence model (TOIM): An investigation using tencent microblogging

Daifeng Li, Jie Tang, Ying Ding, Xin Shuai, Tamy Chambers, Guozheng Sun, Zhipeng Luo, Jingwei Zhang
2015 Journal of the Association for Information Science and Technology  
Moreover, incorporating indirect influence further improves inference recall and f1-measure.  ...  There exist a few highly active users (5% of all Tencent Weibo users), who frequently post messages to express their opinions around different topics and discuss them with their social network neighbors  ...  The learning process is listed in Algorithm 1.  ... 
doi:10.1002/asi.23350 fatcat:hc2bcve5x5getmr3rqtertfv3y

STAMINA: a competition to encourage the development and assessment of software model inference techniques

Neil Walkinshaw, Bernard Lambeau, Christophe Damas, Kirill Bogdanov, Pierre Dupont
2012 Empirical Software Engineering  
In response to this problem, numerous techniques have been developed that seek to automate the model generation task with the aid of increasingly accurate algorithms from the domain of Machine Learning  ...  with respect to their ability to infer models of software systems.  ...  Several contributors subsequently provided useful insights about their techniques/algorithms.  ... 
doi:10.1007/s10664-012-9210-3 fatcat:nssciyxmefb2bhnboxhy7hptie

A Review on Computer Aided Diagnosis of Acute Brain Stroke

Mahesh Anil Inamdar, Udupi Raghavendra, Anjan Gudigar, Yashas Chakole, Ajay Hegde, Girish R. Menon, Prabal Barua, Elizabeth Emma Palmer, Kang Hao Cheong, Wai Yee Chan, Edward J. Ciaccio, U. Rajendra Acharya
2021 Sensors  
total of 177 research papers published between 2010 and 2021 to highlight the current status and challenges faced by computer aided diagnosis (CAD), machine learning (ML) and deep learning (DL) based techniques  ...  optimized by Grammatical Bee Colony algorithm [61].  ...  Computer aided techniques with statistical analysis have improved the process and model accuracy.  ... 
doi:10.3390/s21248507 pmid:34960599 pmcid:PMC8707263 fatcat:zc4gtjhkoje2jotcqr5gvlatu4
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