Statistical Semantics 2017

Notes:

Statistical semantics applies the methods of statistics to the problem of determining the meaning of words or phrases.

Statistical semantic parser
Statistical semantic parsing

Resources:

assert .. automatic statistical semantic role tagger
gensim .. topic modeling for humans
jobimtext .. open source framework for application of distributional semantics
opencube toolkit .. enables the table-based visualizations of rdf data cubes

Wikipedia:

References:

Hierarchical statistical semantic translation and realization
M Horvat – 2017 – cl.cam.ac.uk
Abstract Statistical machine translation (SMT) approaches extract translation knowledge automatically from parallel corpora. They additionally take advantage of monolingual text for target-side language modelling. Syntax-based SMT approaches also incorporate

Statistical Semantic Classification of Crisis Information
P Khare, M Fernandez, H Alani – 2017 – oro.open.ac.uk
The rise of social media as an information channel during crisis has become key to community response. However, existing crisis awareness applications, often struggle to identify relevant information among the high volume of data that is generated over social

ICT tools for creating, expanding and exploiting statistical linked Open Data
E Kalampokis, E Tambouris… – Statistical Journal of the …, 2017 – content.iospress.com
… Page 12. 514 E. Kalampokis et al. / ICT tools for creating, expanding and exploiting statistical linked open data ferent steps of the linked data cube lifecycle in order to provide the user with a rich set of functionalities for working with statistical semantic data …

Clustering articles based on semantic similarity
S Wang, R Koopman – Scientometrics, 2017 – Springer
… From semantics of entities to semantics of articles. For our approach, we adopt the notion of Statistical Semantics (Furnas et al … Statistical semantics: Analysis of the potential performance of keyword information systems. Bell System Technical Journal, 62(6), 17531806 …

Improving visual relationship detection using semantic modeling of scene descriptions
S Baier, Y Ma, V Tresp – International Semantic Web Conference, 2017 – Springer
We show how the combination of a statistical semantic model and a visual model ca … We show how the combination of a statistical semantic model and a visual model can improve on the task of mapping images to their associated scene description …

Exploration of a threshold for similarity based on uncertainty in word embedding
N Rekabsaz, M Lupu, A Hanbury – European Conference on Information …, 2017 – Springer
… In: Proceedings of SIGIR (1998)Google Scholar. 16. Rekabsaz, N., Bierig, R., Ionescu, B., Hanbury, A., Lupu, M.: On the use of statistical semantics for metadata-based social image retrieval. In: Proceedings of CBMI Conference (2015)Google Scholar. 17 …

Word Embedding Causes Topic Shifting; Exploit Global Context!
N Rekabsaz, M Lupu, A Hanbury… – Proceedings of the 40th …, 2017 – dl.acm.org
… In Proc. of SIGIR. [11] Navid Rekabsaz, Ralf Bierig, Bogdan Ionescu, Allan Hanbury, and Mihai Lupu. 2015. On the use of statistical semantics for metadata-based social image retrieval. In Proc. of CBMI Conference. [12] Navid Rekabsaz, Mihai Lupu, and Allan Hanbury. 2016 …

Feedback recurrent neural network-based embedded vector and its application in topic model
L Li, S Gan, X Yin – EURASIP Journal on …, 2017 – jes-eurasipjournals.springeropen …
… With these term frequency vectors, researchers could compute the similarities between documents and thus discover underlying topics in such a document collection [2]. Topic models can be classified into statistical semantic models [3–10] and embedded vector models [11–13 …

Semantic Embedding for Information Retrieval.
S Wang, R Koopman – BIR@ ECIR, 2017 – pdfs.semanticscholar.org
… Much research has adopted the notion of Statistical Semantics [5,17] based on the assumption of “a word is characterized by the company it keeps” [4] or in Linguistics the Distributional Hypothesis [6,16]: words that occur in similar contexts tend to have similar meanings …

Self-organization of meaning and the reflexive communication of information
L Leydesdorff, AM Petersen… – Social Science …, 2017 – journals.sagepub.com
Following a suggestion from Warren Weaver, we extend the Shannon model of communication piecemeal into a complex systems model in which communication is differe…

A syntactic neural model for general-purpose code generation
P Yin, G Neubig – arXiv preprint arXiv:1704.01696, 2017 – arxiv.org
Page 1. A Syntactic Neural Model for General-Purpose Code Generation Pengcheng Yin Language Technologies Institute Carnegie Mellon University pcyin@cs.cmu.edu Graham Neubig Language Technologies Institute Carnegie Mellon University gneubig@cs.cmu.edu …

Using Neural Word Embeddings in the Analysis of the Clinical Semantic Verbal Fluency Task
N Linz, J Tröger, J Alexandersson, A König – IWCS 2017—12th …, 2017 – aclweb.org
… Statistical semantic analysis automatically and reliably providing clusters is a powerful solution to this problem. This paper explores the possibility of using distributional semantics in the analysis of SVF tasks with a focus on clustering and switching patterns …

Cognitive modeling of polymorphic malware using fractal based semantic characterization
MS Khan, S Siddiqui, K Ferens – Technologies for Homeland …, 2017 – ieeexplore.ieee.org
… timestamp resolution to differentiate process related semantic information. However, with thread level information, statistical semantics can differentiate both classes. Nevertheless, class inseparability still remains the prevalent …

A survey on context based similarity techniques for image retrieval
T Patel, S Gandhi – Innovative Mechanisms for Industry …, 2017 – ieeexplore.ieee.org
… Training of the VLM is also fast. Finally the output of VLM is conditional distributions of visual features, based on which a strict distance metric can be easily defined [9]. Here VLM calculates the conditional dependence visual words to capture the visual statistical semantics …

Statistical Semantics with Dense Vectors
N Rekabsaz – ifs.tuwien.ac.at
Page 1. Statistical Semantics with Dense Vectors Word Representation Methods from Counting to Predicting Navid Rekabsaz rekabsaz@ifs.tuwien.ac.at 3rd KEYSTONE Training School Keyword search in Big Linked Data 24/Aug/2017 Vienna, Austria Page 2. Semantics ? Understanding the

Use of Computer Search Algorithms in the Research of Statistical, Semantic and Contextual Rules of Language in Digital Information Space
ZŽ Avramovi?, D Marinkovi?, I Lastri? – JITA-JOURNAL OF …, 2017 – doisrpska.nub.rs
Abstract: This paper will discuss and practically explore the interdependence between information technology and linguistics in the modern information society. The relationship between information technology and linguistics, which has opened new opportunities in

Automating Formalization by Statistical and Semantic Parsing of Mathematics
C Kaliszyk, J Urban, J Vysko?il – International Conference on Interactive …, 2017 – Springer
… This is encouraging, but certainly invites further research in improving the statistical/semantic parsing methods. 4 Limits of the Context-Free Grammars. A major limiting issue when using PCFG-based parsing algorithms is the context-freeness of the grammar …

Misuse of semantics and basic statistical terms in original articles
P Soyer – 2017 – Elsevier
… correlation. Another example of statistical semantic confusion is exhibited in the use of the words “significant” and “substantial”. Some authors use “significant” to denote a large or substantial difference between two variables …

The 3d articulation of language, radical construction grammar and phraseology: corpus-based evidence for a theoretical convergence
JP Colson – Europhras 2017, Phraseology and Construction …, 2017 – dial.uclouvain.be
Skip to main content. User menu …

Semantic Search of Online Reviews on E-Business Platforms
Q Ye, B Ma – Internet+ and Electronic Business in China …, 2017 – emeraldinsight.com
… In addition, topic modeling algorithms – primarily regarded as the core techniques in statistical semantic search approaches – are statistical methods that analyze the words of an original text to discover the themes or topics that run through it …

A corpus-based study of semantic differences in translation
L Vandevoorde, E Lefever, K Plevoets… – … International Journal of …, 2017 – jbe-platform.com
… tendencies of translation on the semantic level. Keywords: translational hypothesis, corpus-based, statistical, semantic differences, semantic field, translation universals, inchoativity 1. Introduction The notion of meaning has always …

Cognitive entrenchment, idiomaticity and corpora: from theoretical issues to practical examples
JP Colson – Figurative Language/Lenguaje figurado, 2017 – dial.uclouvain.be
… China in the transition from a planned economy to a market economy (Google Translate) • This confirms the probabilistic network of constructions posited by CxG, as well as the notion of “statistical semantics” Page 27. • If statistical scores are a good indication of entrenchment …

Predicting Dementia Screening and Staging Scores From Semantic Verbal Fluency Performance
N Linz, J Tröger, J Alexandersson, A Konig… – … Conference on Data …, 2017 – hal.inria.fr
… However, when analysing new material, especially from differ- ent cultures [26], these subcategories need to be redefined and extended. Statistical semantic analysis can automatically and reliably provide clusters, which makes categorisation easier to replicate …

The Research of Semantic Kernel in SVM for Chinese Text Classification
M Fanjin, H Ling, T Jing, W Xinzheng – Proceedings of the 2nd …, 2017 – dl.acm.org
Page 1. The Research of Semantic Kernel in SVM for Chinese Text Classification Mai Fanjin Guilin University of Technology No.319,YanShan Street,YanShan District, GuiLin, GuangXi Prov., China, +86-13977373069 E-mail: gltide2010@126.com …

Analyzing various topic modeling approaches for Domain-Specific language model
DK Phull, GB Kumar – Networks & Advances in Computational …, 2017 – ieeexplore.ieee.org
… processes.” in NIPS, 2004, pp. 1385–1392. [23] R. Rehuvrek and P. Sojka, “Gensim – statistical semantics in python,” 2011. [24] A. Stolcke and et.al, “Srilm-an extensible language modeling toolkit,” INTERSPEECH, 2002. 73

Syntactic Semantic Correspondence in Dependency Grammar
C Maranduc, C Mititelu, V Bobicev – Proceedings of the 16th International …, 2017 – aclweb.org
… semantic annotation. After the creation of the large enough semantically annotated corpus, a statistical semantic parser will be trained for the further automate annotation of ambiguous syntactic relations. 1 Introduction Natural …

Measuring similarity of academic articles with semantic profile and joint word embedding
M Liu, B Lang, Z Gu, A Zeeshan – Tsinghua Science and …, 2017 – ieeexplore.ieee.org
Page 1. TSINGHUA SCIENCE AND TECHNOLOGY ISSNll1007-0214ll06/15llpp619-632 Volume 22, Number 6, December 2017 Measuring Similarity of Academic Articles with Semantic Profile and Joint Word Embedding Ming Liu , Bo Lang, Zepeng Gu, and Ahmed Zeeshan …

Rich Semantic Sentiment Analysis Using Lexicon Based Approach.
H Lodin, P Balani – ICTACT Journal on Soft Computing, 2017 – ictactjournals.in
… semantic approaches [25]. Contextual semantic (also called statistical semantics) methods are determining semantics from the co-occurrence patterns of words [50], that have been used for sentiment analysis [33], [34], [22]. In [34 …

Towards patent text analysis based on semantic role labelling
Y He, Y Li, L Meng, H Xu – International Journal of …, 2017 – inderscienceonline.com
… ARG0~5 and ARGM represent the semantic roles for the PREDICATE. The performance of SRL system often turn worse when applied to patent text, such as the tool – Automatic Statistical Semantic Role Tagger (ASSERT – http://cemantix.org/assert) …

Verification of the Factors of Quality Image Formation in Advanced Companies with Emotional Value
T KATO, K TSUDA – ijntr.org
… understand spoken words, it is roughly divided into rule base and statistical meaning understanding. Tsuchiya judges emotions according to the rule of 8,024[12]. Harada uses statistical semantic understanding of, for example, LDA to understand spoken words[13] …

Sentiment lexicon adaptation with context and semantics for the social web
H Saif, M Fernandez, L Kastler, H Alani – Semantic Web, 2017 – content.iospress.com
Sentiment analysis over social streams offers governments and organisations a fast and effective way to monitor the publics’ feelings towards policies, brands, business, etc. General purpose sentiment lexicons have been used to compute sentiment from.

The Rise of Cognitive Science in the 20th Century
C Figdor – philpapers.org
… which constraints it must have, in order for agents using that system to count as having representations (or intentionality) in the philosophical sense.10 In this vein, Weaver (op.cit.:14) speculatively adds into the communication process a step of statistical semantic decoding after …

A Multi-Label Image Annotation With Multi-Level Tagging System
K Anbarasan, S Chitrakala – Developments and Trends in …, 2017 – books.google.com
… Deljooi, H., & Amir, MEM (2012). Automatic Image Annotation via the Statistical Semantic Model Based on the Relationship between the Regions. In Proceedings of the 16th CSI International Symposium on Artificial Intelligence and Signal Processing (pp. 101-106) …

Controlling Expressiveness of Question Interpretation with a Constrained Tree Transducer Induction
P Martínez-Gómez, Y Miyao – pdfs.semanticscholar.org
… [5] Ruifang Ge and Raymond J. Mooney. 2005. A Statistical Semantic Parser That Integrates Syntax and Semantics. In Proceedings of the Ninth Conference on Com- putational Natural Language Learning (CONLL ’05). Association …

KEYSTONE Activities and Results Overview on Training Schools
C Abela, A Fariña, M Lupu, R Trillo-Lado… – … Conference on Semantic …, 2017 – Springer
… based Search over Structured Data Sources. Various tutorials reviewed topics such as text representation, information extraction, statistical semantics, and semantic annotation and expansion. Prof. Julian Szymanski 9 gave a …

Using Linguistic Structure to Visualize and Measure Political Concepts
P Nulty – 2017 – jackblumenau.com
… of their meanings. Distributional or statistical semantics as a modern sub-discipline of computa- tional linguistics has roots in early work by the linguist JR Firth, who outlined an ’empirical’ or ‘functional’ analysis of meaning: [This …

Intension, Attitude, and Tense Annotation in a High-Fidelity Semantic Representation
G Kim, L Schubert – … of the Workshop Computational Semantics Beyond …, 2017 – aclweb.org
… and improve the project’s scalability. We expect that a statistical semantic parser trained on a large corpus would have better coverage of lin- guistic phenomena and function robustly for larger sentences. We plan to annotate …

Sentiment Analysis on Punjabi News Articles Using SVM
G Kaur, K Kaur – pdfs.semanticscholar.org
… They used unsupervised and supervised machine learning approaches for further text/speech classification process. Authors proposed three approaches for analyzing speech that are the statistical approach, the semantic approach, and a hybrid statistical-semantic approach …

Semantic Search Engine for Data Management and Sustainable Development: Marine Planning Service Platform
G Manzella, R Bartolini, F Bustaffa… – … and Marine Cross …, 2017 – books.google.com
… In general, a prelimi- nary analysis of the texts in question by means of existing technologies relying on lexical and concep- tual generic resources is always necessary for the realisation of a statistical semantic search system in a specific domain …

Question Answering System: A Review On Question Analysis, Document Processing, And Answer Extraction Techniques.
FS UTOMO, N SURYANA… – Journal of Theoretical & …, 2017 – search.ebscohost.com
… Based on the complexity of question analysis methods, we classify the previous studies into several approaches, ie, linguistic, statistical, semantic, rule-based pattern matching, and the hybrid approach that can be used to process user queries …

Viable Modern Approaches For Sentiment Analysis: A Survey
A Srinvas, M Hanumanthappa – International Journal of …, 2017 – search.proquest.com
VIABLE MODERN APPROACHES FOR SENTIMENT ANALYSIS: A SURVEY. Abstract. Sentiment analysis is a process of extracting, identifying and categorizing a writer’s emotion, expressed in the form of text, by implying a computational method …

Learning Hierarchical Task Networks Using Semantic Word Embeddings
S Gopalakrishnan – 2017 – search.proquest.com
… [Gopalakrishnan et al., 2016] Gopalakrishnan, S., Munoz-Avila, H., Kuter, U., (2016). WORD2HTN: Learning Task Hierarchies Using Statistical Semantics and Goal. Reasoning … Using Statistical Semantics and Goal Reasoning. The IJCAI-2016 Workshop on Goal. Reasoning …

Learning an Executable Neural Semantic Parser
J Cheng, S Reddy, V Saraswat, M Lapata – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. arXiv:1711.05066v1 [cs.CL] 14 Nov 2017 Learning an Executable Neural Semantic Parser Jianpeng Cheng University of Edinburgh Siva Reddy Stanford University Vijay Saraswat IBM TJ Watson Research Mirella Lapata University of Edinburgh …

Multilevel Sparse Dimension Selection Approach For Improved Big Data Processing Using Taxonomy
RMPDRV SINTHU, J PRAKASH – … ISSN 2348-4918, ISO 2000-9001 …, 2017 – ijierm.co.in
… 2014 IEEE 26th International Conference on Tools with Artificial Intelligence. pp.740-747 IEEE,(2014). Seifzadeh, Sepideh, et al. :Short-Text Clustering using Statistical Semantics. Proceedings of the 24th International Conference on World Wide Web. ACM, pp. 805-810, (2015) …

Concept Learning from Natural Language Interactions
S Srivastava – 2017 – cs.cmu.edu
… The remainder of this proposal is organized as follows. In Section 2, we briefly review some background literature in three relevant areas: (i) inductive learning, (ii) statistical semantic parsing, and (iii) learning from language …

NLP CEN AMRITA@ SMM4H: Health Care Text Classification through Class Embeddings
BGH Balakrishnan, AKM Vinayakumar, SK Padannayil – ceur-ws.org
… 6. Barathi Ganesh HB, Anand Kumar M, and Soman KP, Statistical Semantics in Context Space, Working Notes of CLEF 2016 – Conference and Labs of the Evaluation forum, ´Evora, Portugal, 5-8 September, 2016, 881–889, http://ceur-ws.org/Vol-1609/16090881.pdf …

Representation of Target Classes for Text Classification-AMRITA_CEN_NLP@ RusProfiling PAN 2017
HB Barathi Ganesh, U Reshma, M Anand Kumar… – ceur-ws.org
… REFERENCES [1] Barathi Ganesh HB, M. Anand Kumar, and KP Soman. 2016. Statistical Semantics in Context Space : Amrita_CEN@Author Profiling. (2016), 881–889. [2] Barathi Ganesh HB, M. Anand Kumar, and KP Soman. 2017 …

Toward optimized multimodal concept indexing
N Rekabsaz, R Bierig, M Lupu, A Hanbury – … on Computational Collective …, 2017 – Springer
… In: Proceedings of Conference on Information and Knowledge Management (2007)Google Scholar. 21. Rekabsaz, N., Bierig, R., Ionescu, B., Hanbury, A., Lupu, M.: On the use of statistical semantics for metadata-based social image retrieval …

Debugging probabilistic programs
C Nandi, D Grossman, A Sampson… – Proceedings of the 1st …, 2017 – dl.acm.org
… flat,” non-statistical Boolean. This simplicity comes at a cost in expressiveness: many application scenarios need to invoke inference at arbitrary points while giving statistical semantics to the inference results. For example, to …

Query-Based Summarization Methods For Conversational Agents: An Overview
K Nimavat, H Joshiara – International Journal of Advanced …, 2017 – search.proquest.com
… similarity score and s2q similarity score are the edges. The approach has two stages: 1. SSCM(Statistical Semantic Comparison Model) and. 2. CM (Combination Model). where CM represents the sum of similarity to other sentences. and the sum of similarity to the question …

Methods of Analysis of News Events in the Information Space Based on the Use of Almost: Periodic Functions, Wavelet Transforms and Hurst’s Self-Similarity
ZD Olegovich, NO Aleksandrovna… – Proceedings of the 7th …, 2017 – dl.acm.org
… each document. Vector model is based on the hypothesis (statistical semantics hypothesis) that: the statistical dependence of the use of words and terms (terms) can be used to find embedded sense in the text [19]. According …

Evaluation of Stanford NER for extraction of assembly information from instruction manuals
CM Costa, A Sousa, G Veiga, S Nunes – 2017 – repositorio.inesctec.pt
… matching techniques. Industrial applications of NLP [17] can also rely on multi- lingual statistical semantic parsers to extract assembly op- erations from natural language sentences given by remote operators. The system developed …

Realization of long sentences using chunking
A Copestake – The 10th International Natural Language Generation …, 2017 – aclweb.org
… College Publi- cations. Matic Horvat. 2017. Hierarchical statistical semantic translation and realization. Ph. D. thesis, University of Cambridge, Computer Laboratory. Ewa Muszynska. 2016. Graph-and surface-level sen- tence chunking …

Evaluation of Stanford NER for extraction of assembly information from instruction manuals
CM Costa, G Veiga, A Sousa… – … Robot Systems and …, 2017 – ieeexplore.ieee.org
… template matching techniques. Industrial applications of NLP [17] can also rely on multi- lingual statistical semantic parsers to extract assembly op- erations from natural language sentences given by remote operators. The system …

Realization of long sentences using chunking
E Muszy?ska, A Copestake – … of the 10th International Conference on …, 2017 – aclweb.org
… College Publi- cations. Matic Horvat. 2017. Hierarchical statistical semantic translation and realization. Ph.D. thesis, University of Cambridge, Computer Laboratory. Ewa Muszynska. 2016. Graph- and surface-level sen- tence chunking …

Sentiment Detection, Recognition and Aspect Identification
SF Alasmari, M Dahab – researchgate.net
… semantic, and conceptual semantic approaches. The contextual semantic approaches are extracting semantics from the relevance patterns of words called (statistical semantic). Whether the conceptual semantic approaches …

Vector Space Model as Cognitive Space for Text Classification
S KP – arXiv preprint arXiv:1708.06068, 2017 – arxiv.org
… In Advances in Neural Information Processing Systems, 2011. [5] Barathi Ganesh HB, Anand Kumar M and Soman KP. Statistical Semantics in Context Space. 2016. [6] Turney, Peter D., and Patrick Pantel. From frequency to meaning: Vector space models of se- mantics …

What should be a proper semantics for dependency structures
A Dikovsky – 2017 – books.google.com
… semantic ex- pressions (cf. the use of semantic roles and frame semantics [11] in statistical semantic parsing). At the same time, on the constituent side there is an abundance of formal semantics (cf.[1, 17, 26]). To understand this …

Developing Semantic Role Labeler for Hindi and Urdu
MA Nomani – 2017 – web2py.iiit.ac.in
… We also introduce a statistical Semantic Role Labeler for Hindi and Urdu, two major Indian languages [Anwar and Sharma, 2016]. A Semantic Role Labeler automatically marks the argu- ments/valency of a predicate in a predicate argument structure of a sentence …

Logical Parsing from Natural Language Based on a Neural Translation Model
L Li, P Li, Y Liu, T Wan, Z Qin – arXiv preprint arXiv:1705.03389, 2017 – arxiv.org
… The early works use logical forms as supervision [1]–[4], given a set of input sentences and their corresponding logical forms, learning a statistical semantic parser by weighting a set of rules mapping lexical items and syntactic patterns to their logical forms …

Neural Attribute Machines for Program Generation
M Amodio, S Chaudhuri, T Reps – arXiv preprint arXiv:1705.09231, 2017 – arxiv.org
… Springer, 2002. [21] CJ Maddison and D. Tarlow. Structured generative models of natural source code. In ICML, 2014. [22] Tung Thanh Nguyen, Anh Tuan Nguyen, Hoan Anh Nguyen, and Tien N. Nguyen. A statistical semantic language model for source code …

Future Patent Search
B Diallo, M Lupu – Current Challenges in Patent Information Retrieval, 2017 – Springer
… It is unfortunate that in the patent search community, the term ‘semantic search’ has come to mean two quite different things: on the one hand techniques which rely on statistical semantics emergent from the data like latent semantic analysis [13], random indexing [67] and …

Syntax-Mediated Semantic Parsing
S Reddy – sivareddy.in
… Statistical Semantic Parsing Although SHRDLU was a successful demonstration of semantic parsing, it soon became apparent that hand-coding rules is not scalable. Additionally, with the change in domains, these rules changed. Projects inspired from …

Generic CBTS: Correlation based Transformation Strategy for Privacy Preserving Data Mining
NP Nethravathi, PG Rao, CC Vaidya… – International …, 2017 – search.proquest.com
… the information. Therefore instead of removing or encrypting sensitive data, we propose transformation strategies that retain the statistical, semantic and heuristic nature of the data while masking the sensitive information. The …

Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature
Y Wang, S Liu, M Rastegar-Mojarad, L Wang… – Proceedings of the 8th …, 2017 – dl.acm.org
… model. In the first step, we use JAMR [13], a statistical semantic parser trained on AMR bank, for AMR parsing. Similar to many other statistical parsing methods, JAMR also significantly depends on the training data [31]. Considering …

Semantic Sentiment Analysis in Social Streams
H Saif – 2017 – books.google.com
Page 1. SEMANTIC SENTIMENT ANALYSIS IN SOCIAL STREAMS Page 2. Studies on the Semantic Web www.semantic-web-studies.net Semantic Web has grown into a mature field of research. Its methods find innovative applications on and off the World WideWeb …

Stochastic optimization of program obfuscation
H Liu, C Sun, Z Su, Y Jiang, M Gu… – … (ICSE), 2017 IEEE/ACM …, 2017 – ieeexplore.ieee.org
Page 1. Stochastic Optimization of Program Obfuscation Han Liu † Chengnian Sun ? Zhendong Su ? Yu Jiang †‡ Ming Gu † Jiaguang Sun † † School of Software, Tsinghua University, Beijing, China ? University of California …

Garbled protocols and two-round MPC from bilinear maps
S Garg, A Srinivasan – FOCS 2017, 2017 – eprint.iacr.org
Page 1. Garbled Protocols and Two-Round MPC from Bilinear Maps ? Sanjam Garg University of California, Berkeley sanjamg@berkeley.edu Akshayaram Srinivasan University of California, Berkeley akshayaram@berkeley.edu Abstract …

On the uniqueness of code redundancies
B Lin, L Ponzanelli, A Mocci, G Bavota… – … (ICPC), 2017 IEEE …, 2017 – ieeexplore.ieee.org
Page 1. On the Uniqueness of Code Redundancies Bin Lin, Luca Ponzanelli, Andrea Mocci, Gabriele Bavota, Michele Lanza REVEAL @ Faculty of Informatics — Universit`a della Svizzera Italiana (USI), Switzerland Abstract …

Automatic generation of named entity taggers leveraging parallel corpora
YL Chung – 2017 – addi.ehu.es
… Eskerrik asko! Page 4. Page 5. Automatic Generation of Named Entity Taggers Leveraging Parallel Corpora v/40 Abstract The lack of hand curated data is a major impediment to developing statistical semantic processors for many of the world languages …

Improving ideas novelty based on OTSM-TRIZ model of contradiction
M Parvin – 2017 – politesi.polimi.it
Page 1. POLITECNICO DI MILANO DIPARTAMENTO DI MECCANICA Ph.D. Course on Mechanical Engineering – XXVIII Cycle 10.2012 ? 10.2016 Improving ideas novelty based on OTSM-TRIZ model of contradiction Candidate: Mehdi Parvin Supervisor: Prof. Gaetano Cascini …

Stepwise API usage assistance using n-gram language models
AL Santos, G Prendi, H Sousa, R Ribeiro – Journal of Systems and Software, 2017 – Elsevier
Skip to main content …

In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Application to Fine-Grained Named Entity Recognition
R Schwarzenberg, L Hennig, H Hemsen – International Conference of the …, 2017 – Springer
… The authors of FACTORIE convincingly promote it as a tool which preserves the ‘traditional, declarative, statistical semantics of factor graphs while allowing imperative definitions of the model structure and operation.’ Furthermore, Passos et al …

Bayesian specification learning for finding API usage errors
V Murali, S Chaudhuri, C Jermaine – Proceedings of the 2017 11th Joint …, 2017 – dl.acm.org
Page 1. Bayesian Specification Learning for Finding API Usage Errors Vijayaraghavan Murali Rice University, USA vijay@rice.edu Swarat Chaudhuri Rice University, USA swarat@rice.edu Chris Jermaine Rice University, USA cmj4@rice.edu …

AmritaNLP @PAN-RusProfiling: Author Profiling using Machine Learning Techniques
V Vinayan, JR Naveen, NB Harikrishnan… – ceur-ws.org
… REFERENCES [1] HB Barathi Ganesh, M. Anand Kumar, and KP Soman. 2016. Statistical semantics in context space: Amrita CEN@author pro ling. CEUR Workshop Proceedings 1609 (2016), 881–889. [2] HB Barathi Ganesh, U. Reshma, and M. Anand Kumar. 2015 …

CCODM: conditional co-occurrence degree matrix document representation method
W Wei, C Guo, J Chen, L Tang, L Sun – Soft Computing, 2017 – Springer
Page 1. Soft Comput DOI 10.1007/s00500-017-2844-8 METHODOLOGIES AND APPLICATION CCODM: conditional co-occurrence degree matrix document representation method Wei Wei1,2 · Chonghui Guo1,2 · Jingfeng Chen1 · Lin Tang1,2,3 · Leilei Sun1 …

Bug localization with combination of deep learning and information retrieval
AN Lam, AT Nguyen, HA Nguyen… – … (ICPC), 2017 IEEE …, 2017 – ieeexplore.ieee.org
Page 1. Bug Localization with Combination of Deep Learning and Information Retrieval An Ngoc Lam, Anh Tuan Nguyen, Hoan Anh Nguyen Iowa State University, USA Email: {anlam,anhnt,hoan}@iastate.edu Tien N. Nguyen …

An Introduction to Contemporary Search Technology
M Lupu, F Piroi, V Stefanov – Current Challenges in Patent Information …, 2017 – Springer
Page 1. Chapter 2 An Introduction to Contemporary Search Technology Mihai Lupu, Florina Piroi, and Veronika Stefanov Abstract This chapter is the counterpart of the preceding chapter. It gives an overview of some of the most …

Domain-Specific Sentiment Analysis of Firm Brand
SH Kim – 2017 – search.proquest.com
… An example is SentiWordNet (Baccianella et al., 2010). The latter. exploits syntactic patterns or co-occurrence patterns — also known as statistical semantics –. to identify new sentiment words and their sentimental polarity in a corpus (Sadegh et al.,. 2012; Turney, 2002) …

Bootstrapping language acquisition
O Abend, T Kwiatkowski, NJ Smith, S Goldwater… – Cognition, 2017 – Elsevier
Skip to main content …

Issues in Translation of Linguistic Collocations
M Stulpinait?, J Horba?auskien?, R Kasperavi?ien? – Studies About Languages – ceeol.com
… Collocations Page 3. 33 kalb ? studijos / studiesaboutlanguages no . 2 9 / 2 0 1 6 addition to this, there are no general criteria for a collocational classification since linguists tend to differently approach them (from the statistical, semantic, functional, or syntactic per- spectives) …

Context of Text: Concepts for Recognizing Context of Acquired Knowledge from Documents
N Madhusudanan, B Gurumoorthy… – … Conference on Product …, 2017 – Springer
… Concepts such as Vector Space Models (VSM) represent text using vectors [10]. The bases for using these representations are hypotheses such as statistical semantics hypothesis, bag-of-words hypothesis, distributional hypothesis, etc …

Are deep neural networks the best choice for modeling source code?
VJ Hellendoorn, P Devanbu – Proceedings of the 2017 11th Joint …, 2017 – dl.acm.org
Page 1. Are Deep Neural Networks the Best Choice for Modeling Source Code? Vincent J. Hellendoorn Computer Science Dept., UC Davis Davis, CA, USA 95616 vhellendoorn@ucdavis.edu Premkumar Devanbu Computer …

The reliability of non-verbal cues for situated reference resolution and their interplay with language: implications for human robot interaction
S Gross, B Krenn, M Scheutz – Proceedings of the 19th ACM International …, 2017 – dl.acm.org
Page 1. The Reliability of Non-verbal Cues for Situated Reference Resolution and Their Interplay with Language: Implications for Human Robot Interaction Stephanie Gross Austrian Research Institute for Artificial Intelligence Vienna, Austria stephanie.gross@ofai.at …

Finding Likely Errors with Bayesian Specifications
V Murali, S Chaudhuri, C Jermaine – arXiv preprint arXiv:1703.01370, 2017 – arxiv.org
Page 1. Finding Likely Errors with Bayesian Specifications ? Vijayaraghavan Murali Rice University vijay@rice.edu Swarat Chaudhuri Rice University swarat@rice.edu Chris Jermaine Rice University cmj4@rice.edu Abstract …

A Survey of Machine Learning for Big Code and Naturalness
M Allamanis, ET Barr, P Devanbu, C Sutton – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. arXiv:1709.06182v1 [cs.SE] 18 Sep 2017 1 A Survey of Machine Learning for Big Code and Naturalness MILTIADIS ALLAMANIS, Microsoft Research EARL T. BARR, University College London PREMKUMAR DEVANBU …

Computational models of learning the idiosyncrasy of multiword expressions
M Farahmand – 2017 – archive-ouverte.unige.ch
… infinitely large. Idiosyncrasymeans having a peculiar statistical, semantic or syntactic behavior. Idiosyncratic phrases … infinitely large. Idiosyncrasy means having a peculiar statistical, semantic or syntactic behavior. Idiosyncratic phrases …

Exploring API embedding for API usages and applications
TD Nguyen, AT Nguyen, HD Phan… – … (ICSE), 2017 IEEE …, 2017 – ieeexplore.ieee.org
Page 1. Exploring API Embedding for API Usages and Applications Trong Duc Nguyen, Anh Tuan Nguyen, Hung Dang Phan Electrical and Computer Engineering Department Iowa State University Email: {trong,anhnt,hungphd}@iastate.edu …

Facilitating the development of cross-platform software via automated code synthesis from web-based programming resources
S Chadha, A Byalik, E Tilevich… – … Languages, Systems & …, 2017 – Elsevier
When a mobile application is supported on multiple major platforms, its market penetration is maximized. Such cross-platform native applications essentially del.

Overlaps in spatial encodings
OA Thomason, HM Eckhoff – Space in Diachrony, 2017 – books.google.com
… We are thus able to iden- tify encoding overlaps that might otherwise have been overlooked. The parallel approach also allows us to generate statistical semantic maps that are not based on any semantic pre-classification. In …

A Multiform Balanced Dependency Treebank for Romanian
C Maranduc – Proceedings of Knowledge Resources for the Socio …, 2017 – acl-bg.org
… The training corpus has now 5025 sentences in Old Romanian and 1130 sentences in Contemporary Romanian; we must increase and balance it, adding approximately 3500 sentences in Contemporary Romanian. We will use a statistical semantic parser …

Mining Analogical Libraries in Stack Overflow Discussion
J Cao – 2017 – courses.cecs.anu.edu.au
… [11] TT Nguyen, AT Nguyen, HA Nguyen, and TN Nguyen. A statistical semantic language model for source code. in Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, pages 532–542, 2013. [12] C. Teyton, J.-R. Falleri, and X. Blanc …

Patent-Related Tasks at NTCIR
M Lupu, A Fujii, DW Oard, M Iwayama… – Current Challenges in …, 2017 – Springer
… 89 At the other end of the spectrum, the lowest results were obtained by a method based on random indexing [44]. This low performance of statistical semantics on patent retrieval had been also reproduced for latent semantic indexing by Moldovan et al …

Structured learning for spoken language understanding in human-robot interaction
E Bastianelli, G Castellucci, D Croce… – … Journal of Robotics …, 2017 – journals.sagepub.com
Robots are slowly becoming a part of everyday life, being marketed for commercial applications such as telepresence, cleaning or entertainment. Thus, the abilit…

Recent automatic text summarization techniques: a survey
M Gambhir, V Gupta – Artificial Intelligence Review, 2017 – Springer
As information is available in abundance for every topic on internet, condensing the important information in the form of summary would benefit a number of users. Hence, there is growing interest amon.

Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey
H Jelodar, Y Wang, C Yuan, X Feng – arXiv preprint arXiv:1711.04305, 2017 – arxiv.org
Page 1. Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey Hamed Jelodar 1 , Yongli Wang 1 , Chi Yuan 1 , Xia Feng 2 Department of Computer Science and Engineering Nanjing University …

The IdiomSearch Experiment: Extracting Phraseology from a Probabilistic Network of Constructions
JP Colson – … Conference on Computational and Corpus-Based …, 2017 – Springer
… morphemes to idiomatic phrases. Keywords. Collocation extraction Construction grammar Statistical Semantics Information retrieval Collostructions. Download fulltext PDF. 1 Introduction: Theoretical Background. One of the paradoxes …

Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-cccurrence Data
K Schouten, O van der Weijde… – IEEE transactions on …, 2017 – ieeexplore.ieee.org
… Unfortunately, there were no quantitative experimental results reported in their work, but intuitively the use of statistical semantic association analysis should allow for certain opinion words such as “large,” to estimate the associated aspect (“size”) …

The Design and Development of Spam Risk Assessment Prototype: In Silico of Danger Theory Variants
K Zainal, MZ Jali – INTERNATIONAL JOURNAL OF ADVANCED …, 2017 – researchgate.net
… applied in Danger Theory algorithm. There are a few types of analysis that can be utilized to calculate the weight, which is orthographic, statistical, semantic, syntactic and usage analysis [39]. This research applies the statistical …

Document Modeling and Clustering using Hypergraph
D PM, A Sreekumar, M Jathavedan… – International Journal of …, 2017 – ripublication.com
… [3] Sepideh Seifzadeh, Ahmed K. Farahat, Mohamed S. Kamel, Short-Text Clustering using Statistical Semantics , International World Wide Web Conference Committee (IW3C2),WWW 2015 Companion, May 18-22 , 2015. [4 …

Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands
T Kollar, S Tellex, M Walter, A Huang… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands Thomas Kollar1, Stefanie Tellex1, Matthew R. Walter, Albert Huang, Abraham Bachrach, Sachi Hemachandra, Emma …

Probabilistic vector space models for sentiment analysis
N Kumar – 2017 – researchgate.net
… Vector space models (VSMs) are widely used for NLP tasks. The use of VSMs are motivated by famous statistical semantics hypothesis (Locke and Booth, 1955), (Lan- dauer, 1984) which says that statistical patterns of human word usage can be used …

Autofolding for source code summarization
J Fowkes, P Chanthirasegaran, R Ranca… – IEEE Transactions …, 2017 – ieeexplore.ieee.org
Page 1. Autofolding for Source Code Summarization Jaroslav Fowkes , Pankajan Chanthirasegaran, Razvan Ranca, Miltiadis Allamanis, Mirella Lapata, and Charles Sutton Abstract—Developers spend much of their time reading …

Natural language understanding and communication for human-robot collaboration
MI Bloch – ipvs.informatik.uni-stuttgart.de
… But when complexity rises and speech differences occur the performance declines. The data driven approach uses a statistical semantic parser on free-form text input which is more robust and portable to other domains. The …

Learning a classifier for false positive error reports emitted by static code analysis tools
U Koc, P Saadatpanah, JS Foster… – Proceedings of the 1st …, 2017 – dl.acm.org
Page 1. Learning a Classifier for False Positive Error Reports Emitted by Static Code Analysis Tools Ugur Koc Parsa Saadatpanah Jeffrey S. Foster Adam A. Porter University of Maryland, College Park, USA {ukoc, parsa, jfoster, aporter}@cs.umd.edu …

A language model for statements of software code
Y Yang, Y Jiang, M Gu, J Sun, J Gao, H Liu – Proceedings of the 32nd …, 2017 – dl.acm.org
… [6] TT Nguyen, AT Nguyen, HA Nguyen, and TN Nguyen. A statistical semantic language model for source code. In ESEC/FSE’13, Saint Petersburg, Russian Federation, August 18-26, 2013, pages 532– 542, 2013. [7] T. Parr. Antlr4. http://www.antlr.org/, 2017 …

An unsupervised multilingual approach for online social media topic identification
SL Lo, R Chiong, D Cornforth – Expert Systems with Applications, 2017 – Elsevier
… et al. (2002) developed a statistical semantic parser to do automatic translation between spoken English and Chinese languages. For research efforts on social media multilingual sentiment analysis, Volkova et al. (2013) proposed …

Early detection of deception and aggressiveness using profile-based representations
HJ Escalante, E Villatoro-Tello, SE Garza… – Expert Systems with …, 2017 – Elsevier
… Other works have also been devoted towards obtaining specific features for detecting aggressiveness. Justo, Corcoran, Lukin, Walker, and Torres (2014) included statistical, semantic, linguistic, conceptual, length, and polarity information to detect nastiness in social media …

Constituency Parser for Hindi Noun Sequences and Role of Bracketing in Translation of English Compound Nouns into Hindi
A Batra – 2017 – web2py.iiit.ac.in
Page 1. Constituency Parser for Hindi Noun Sequences and Role of Bracketing in Translation of English Compound Nouns into Hindi Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by Research in Computational Linguistics by …

Building the “Plant Glossary” – A controlled botanical vocabulary using terms extracted from the Floras of North America and China
L Endara, HA Cole, JG Burleigh, NS Nagalingum… – Taxon, 2017 – ingentaconnect.com
Page 1. 953 Version of Record TAXON 66 (4) • August 2017: 953–966 Endara & al. • Building a controlled vocabulary for plants Received: 15 Mar 2016 | returned for (first) revision: 18 May 2016 | (last) revision received: 17 Apr …

Guided Attention for Neural Language Models
B Mularczyk – 2017 – research-collection.ethz.ch
Page 1. Research Collection Master Thesis Guided Attention for Neural Language Models Author(s): Mularczyk, Benjamin Publication Date: 2017 Permanent Link: https://doi.org/10.3929/ ethz-a-010890062 Rights / License: In Copyright – Non-Commercial Use Permitted …

Models of lexical meaning
P Acquaviva, A Lenci, C Paradis… – Word knowledge and …, 2017 – portal.research.lu.se
Page 1. Models of lexical meaning Aquaviva, Paolo; Lenci, Alessandro; Paradis, Carita; Raffaelli, Ida Published in: Word knowledge and word usage Accepted/In press: 2017-01-01 Document Version Peer reviewed version (aka post-print) Link to publication …

Bayesian Sketch Learning for Program Synthesis
M VIJAYARAGHAVAN, L QI – arXiv preprint arXiv …, 2017 – pdfs.semanticscholar.org
Page 1. 1 Bayesian Sketch Learning for Program Synthesis VIJAYARAGHAVAN MURALI, Rice University LETAO QI, Rice University SWARAT CHAUDHURI, Rice University CHRIS JERMAINE, Rice University We present a …

Content Recommendation Through Linked Data
I Vagliano – 2017 – porto.polito.it
Page 1. Politecnico di Torino Porto Institutional Repository [Doctoral thesis] Content Recommendation Through Linked Data Original Citation: Vagliano, Iacopo (2017). Content Recommendation Through Linked Data. PhD thesis …

The induction of synaesthesia in non-synaesthetes
DB Terhune, DP Luke, RC Kadosh – Sensory Blending: On …, 2017 – books.google.com
… fixation cross. Certain target letters were more often associated with specific colours to facilitate statistical semantic learning over time; half of the participants were informed of the bias in the stimulus presentation. Participants …

Detecting argument selection defects
A Rice, E Aftandilian, C Jaspan, E Johnston… – Proceedings of the …, 2017 – dl.acm.org
Page 1. 104 Detecting Argument Selection Defects ANDREW RICE, University of Cambridge, England and Google Inc., USA EDWARD AFTANDILIAN, CIERA JASPAN, and EMILY JOHNSTON, Google Inc., USA MICHAEL PRADEL …

Computational Aspects of Model-Based Reasoning
G Dodig-Crnkovic, A Cicchetti – Springer Handbook of Model-Based …, 2017 – Springer
… In the work of Mark Burgin, the focus of theory of information is on its fundamentality, diversity, and unification with specific chapters dedicated to general, statistical, semantic, algorithmic, dynamics, and pragmatic information theory [32.12] …

Design and development of multilingual information retrieval system with numeric MARC
A Tripathi – 2017 – lib.unipune.ac.in
… Health Libraries Review. Vol. 15, No.2 (Jun 1998),pp.l28-132. 102. Diao, Zijian, et al. MARS: a statistical semantic parsing and generation-based Multilingual Automatic Translation System. Machine Translation, Vol.17, (3) 2002, pp. 185-212. 103. Diaz, P., et al …

Recommender Systems based on Linked Data
F Cristhian – 2017 – porto.polito.it
Page 1. Politecnico di Torino Porto Institutional Repository [Doctoral thesis] Recommender Systems based on Linked Data Original Citation: Cristhian, Figueroa (2017). Recommender Systems based on Linked Data. PhD thesis …

Data Science Landscape in the Insurance Industry
S Perfetti – 2017 – n.ethz.ch
Page 1. 12-10-2017 1 Data Science Landscape in the Insurance Industry Stefano Perfetti ETH Zurich Author Note This thesis for the Master of Advanced Studies in Management, Technology and Economics (MTEC) at ETH Zurich …

Abstract rule-based argumentation
H Prakken – IfCoLog Journal of Logics and their Applications, 2017 – dspace.library.uu.nl
Page 1. Abstract Rule-Based Argumentation Sanjay Modgil King’s College London, UK sanjay.modgil@kcl.ac.uk Henry Prakken Utrecht University and University of Groningen, The Netherlands h.prakken@uu.nl Abstract This …

Talking Physics: Two Case Studies on Short Answers and Self-explanation in Learning Physics
RC Badeau – 2017 – rave.ohiolink.edu
Page 1. Talking Physics: Two Case Studies on Short Answers and Self-explanation in Learning Physics DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By …

Generating API call rules from version history and stack overflow posts
S Azad, PC Rigby, L Guerrouj – ACM Transactions on Software …, 2017 – dl.acm.org
Page 1. 29 Generating API Call Rules from Version History and Stack Overflow Posts SHAMS AZAD, PETER C. RIGBY, and LATIFA GUERROUJ, Concordia University Researchers have shown that related functions can be …

The state of arts and entertainment reporting in Cape Town’s community newspapers
C Erfort – 2017 – scholar.sun.ac.za
Page 1. 1 The state of arts and entertainment reporting in Cape Town’s community newspapers by Chantel Erfort March 2017 Thesis presented for the degree of Master of Philosophy in the Faculty of Arts and Social Sciences at Stellenbosch University …

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