Statistical Semantics 2014


See also:

Dialog State TrackingLatent Semantic & Dialog Systems 2013Minimal Recursion & Dialog SystemsRBMT (Rule-Based Machine Translation) & Dialog SystemsSemantic Parsing | SRILM & Dialog SystemsSRILM Toolkit & Dialog SystemsStatistical Parser & Dialog Systems | Statistical Semantics 2015Syntactic Grammars & Dialog Systems


Frame-semantic parsing D Das, D Chen, AFT Martins, N Schneider… – Computational …, 2014 – MIT Press … parsing. 2.1 Semantic Role Labeling Since Gildea and Jurafsky (2002) pioneered statistical semantic role labeling, there has been a great deal of computational work using predicate-argument structures for semantics. The development … Cited by 58 Related articles All 13 versions

Leveraging frame semantics and distributional semantics for unsupervised semantic slot induction in spoken dialogue systems YN Chen, WY Wang, AI Rudnicky – … Technology Workshop (SLT …, 2014 – ieeexplore.ieee.org … The distributional view of semantics hypothesizes that words oc- curring in the same contexts may have similar meanings [1]. As the foundation for modern statistical semantics [2], an early success that implements this distributional theory is Latent Semantic Analy- sis [3 … Cited by 10 Related articles All 6 versions

Senticircles for contextual and conceptual semantic sentiment analysis of twitter H Saif, M Fernandez, Y He, H Alani – The Semantic Web: Trends and …, 2014 – Springer … such as DBpedia. Contextual semantics (aka statistical semantics) [27] has been traditionally used in diverse areas of computer science including Natural Language Processing and Informa- tion Retrieval [25]. The main principle … Cited by 13 Related articles All 6 versions

The meaning factory: Formal semantics for recognizing textual entailment and determining semantic similarity J Bjerva, J Bos, R van der Goot, M Nissim – SemEval 2014, 2014 – anthology.aclweb.org … 1 Introduction The recent popularity of employing distributional approaches to semantic interpretation has also lead to interesting questions about the relationship be- tween classic formal semantics (including its com- putational adaptations) and statistical semantics. … Cited by 10 Related articles All 13 versions

Semantic parser enhancement for dialogue domain extension with little data S Zhu, L Chen, K Sun, D Zheng… – … Workshop (SLT), 2014 …, 2014 – ieeexplore.ieee.org … yu}@ s jtu . edu . cn ABSTRACT Statistical semantic parser trained on sufficient in-domain data has shown robustness to speech recognition errors in end-to-end spoken dialogue systems. … Effective re-training of statistical semantic parser is therefore important. … Cited by 7 Related articles All 2 versions

The SJTU system for dialog state tracking challenge 2 K Sun, L Chen, S Zhu, K Yu – 15th Annual Meeting of the Special Interest …, 2014 – aclweb.org … In the system, a statistical semantic parser is used to generate refined semantic hypothe- ses. … 2 Semantic Parser It was found that the live SLU provided by the or- ganisers has poor quality. Hence, a new statistical semantic parser is trained to parse the live ASR hypotheses. … Cited by 9 Related articles All 8 versions

Exploiting linked data cubes with opencube toolkit E Kalampokis, A Nikolov, P Haase… – … Web Conference (ISWC …, 2014 – ceur-ws.org … The toolkit smoothly integrates separate components dealing with different subtasks of the linked statistical data processing workflow to provide the user with a rich set of functionalities for working with statistical semantic data. Acknowledgments. … Cited by 4 Related articles All 3 versions

Graph based Representation and Analysis of Text Document: A Survey of Techniques SS Sonawane, PA Kulkarni – International Journal of …, 2014 – search.proquest.com … Fig. 1. Sample document reprinted from [2]. EdgeRelation = [notdef]Syntax, Statistical, Semantic[notdef]. Edge relation between two feature terms may different on the context of Graph. (1) Word occurrence together in a sentence or paragraph or section or document. … Cited by 8 Related articles All 3 versions

On the Usability of Random Indexing in Patent Retrieval M Lupu – Graph-Based Representation and Reasoning, 2014 – Springer … Abstract. Statistical semantics methods are fairly controversial in the IR community, mostly because of their instability and difficulty to debug. At the same time, they are extremely tempting, in the same way perhaps, as Artificial Intelligence was in the 60s. … Cited by 4 Related articles All 5 versions

Describing constraint-based assembly tasks in unstructured natural language M Stenmark, J Malec – Proc. IFAC 2014 World Congress, Capetown, …, 2014 – nt.ntnu.no … Such techniques are known to have a limited coverage. In the project described below we have used a multilingual high-performance statistical semantic parser (Björkelund et al., 2009, 2010) using the Propbank and Nombank lexi- cons. … Cited by 4 Related articles All 4 versions

Automatic stopword generation using contextual semantics for sentiment analysis of Twitter H Saif, M Fernandez, H Alani – CEUR Workshop Proceedings, 2014 – oro.open.ac.uk … Con- textual semantics (aka statistical semantics) are based on the proposition that meaning can be extracted from words co-occurrences [9]. We evaluate our approach against the Van stoplist (so-called clasic method) using six Twitter datasets. … Cited by 2 Related articles All 4 versions

Creating and utilizing linked open statistical data for the development of advanced analytics services E Kalampokis, A Karamanou, A Nikolov… – … Workshop for Semantic …, 2014 – kalampok.is … data cubes. The toolkit smoothly integrates separate components dealing with different steps of the linked data cube lifecycle to provide the user with a rich set of functionalities for working with statistical semantic data. At the … Cited by 2 Related articles All 2 versions

Modern conversational agents D Suendermann-Oeft – Technologien für digitale Innovationen, 2014 – Springer … Furthermore, the new vendor did not support statistical semantic classifiers at all which meant that applica- tions had to be entirely rebuilt to account for this lack. The migration of four conversational agents took about one person year. … Cited by 3 Related articles All 3 versions

Multilingual semantic parsing: Parsing multiple languages into semantic representations Z Jie, W Lu – Proc. of COLING, 2014 – aclweb.org Page 1. Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 1291–1301, Dublin, Ireland, August 23-29 2014. Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations … Cited by 1 Related articles All 4 versions

Statistical word sense aware topic models G Tang, Y Xia, J Sun, M Zhang, TF Zheng – Soft Computing, 2014 – Springer … Recently, two major types of semantic document repre- sentation models have been proposed to improve VSM, ie, knowledge-based semantic document representation models and statistical semantic document representation models. … Cited by 1 Related articles All 3 versions

Natural Language Understanding and Prediction: from Formal Grammars to Large Scale Machine Learning N Duta – Fundamenta Informaticae, 2014 – dl.acm.org … 10. Celikyilmaz A., Hakkani-Tur D., Tur G.: Statistical semantic interpretation modeling for spoken language understanding with enriched semantic features, in Proc of IEEE Workshop on Spoken Language Technologies, 2012, 216-221. … Cited by 2 Related articles All 6 versions

Semantic patterns for sentiment analysis of Twitter H Saif, Y He, M Fernandez, H Alani – The Semantic Web–ISWC 2014, 2014 – Springer … Instead, it extracts patterns from the contextual semantic and sentiment similarities between words in a given tweet corpus [19]. Contextual semantics (aka statistical semantics) are based on the proposition that meaning can be extracted from words co-occurrences [28,26]. … Cited by 2 Related articles All 6 versions

Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation R Tsarfaty, I Pogrebezky, G Weiss… – Proc. Int. Conf. on …, 2014 – wisdom.weizmann.ac.il … advances in natural language processing, with an eye to semantic parsing (Zettlemoyer and Collins, 2005; Liang et al., 2011; Artzi and Zettle- moyer, 2013; Liang and Potts, 2014), use differ- ent formalisms and various kinds of learning sig- nals for statistical semantic parsing. … Cited by 2 Related articles All 8 versions

Controversial Topic Discovery on Members of Congress with Twitter A Panasyuk, ESL Yu, KG Mehrotra – Procedia Computer Science, 2014 – Elsevier … “Statistical semantics: Analysis of the potential performance of keyword information systems.” Human factors in computer systems. Ablex Publishing Corp., 1984. [6]; Manning, CD, Raghavan, P., & Schütze, H. Introduction to information retrieval. Vol. … Cited by 1 Related articles All 3 versions

Self-organizing maps for latent semantic analysis of free-form text in support of public policy analysis BC Till, J Longo, A Dobell… – … Reviews: Data Mining …, 2014 – Wiley Online Library … mentioned above. This focus article reviews a purely statistical approach to this text mining task using the concept of the self-organizing map.[17] [18] We first outline the general approach using statistical semantic models. We then … Cited by 1 Related articles All 3 versions

Effective and Robust Natural Language Understanding for Human-Robot Interaction E Bastianelli, G Castellucci, D Croce… – ECAI 2014: 21st …, 2014 – books.google.com … Then, a data driven approach, based on a free-from speech recognizer and a statistical semantic parser, is dis- cussed. … Then, a modular approach, based on a free-from speech recognizer and a statistical semantic parser presented in [10], is discussed. … Cited by 3 Related articles All 4 versions

Unsupervised approach for shallow domain ontology construction from corpus S Mukherjee, J Ajmera, S Joshi – … of the companion publication of the …, 2014 – dl.acm.org … Random Indexing (RI) [6] is a word co-occurence based approach to statistical semantics. RI uses statistical ap- proximations of the full word co-occurence data to achieve dimensionality reduction, resulting in much quicker running time and fewer required dimensions. … Cited by 1 Related articles All 6 versions

Uncertain< T>: A first-order type for uncertain data J Bornholt, T Mytkowicz, KS McKinley – ACM SIGARCH Computer …, 2014 – dl.acm.org Page 1. Uncertain: A First-Order Type for Uncertain Data James Bornholt Australian National University u4842199@anu.edu.au Todd Mytkowicz Microsoft Research toddm@microsoft.com Kathryn S. McKinley Microsoft Research mckinley@microsoft.com … Cited by 31 Related articles All 16 versions

Classification-oriented structure learning in Bayesian networks for multimodal event detection in videos G Gravier, CH Demarty, S Baghdadi, P Gros – Multimedia tools and …, 2014 – Springer Page 1. Multimed Tools Appl (2014) 70:1421–1437 DOI 10.1007/s11042-012-1169-y Classification-oriented structure learning in Bayesian networks for multimodal event detection in videos Guillaume Gravier·Claire-Hélène Demarty· Siwar Baghdadi·Patrick Gros … Cited by 4 Related articles All 12 versions

A Statistical Approach to Semantic Analysis for Chinese Terms D Cai, N Ye, G Zhang, Y Song – Semantic Computing (ICSC), …, 2014 – ieeexplore.ieee.org … Abstract—We propose a statistical semantic analysis method for Chinese terms. … Moreover, the boundaries between some semantic relations are not clear. IV. CONCLUSION In this paper, we propose a statistical semantic analysis approach for Chinese terms. … Related articles All 3 versions

Parallel Search Through Statistical Semantic Spaces Leveraging Linked Open Data A Cheptsov – mayor2.dia.fi.upm.es Abstract. With billions of triples in the Linked Open Data cloud, which continues to grow exponentially, challenging tasks start to emerge related to the exploitation and reasoning of Web data. A considerable amount of work has been done in the area of using Information … Related articles All 2 versions

Some Aspects of the Semantic-Structural Analysis of Thomas Mann’s Tonio Kröger N KVIRIKADZE – philologica-jassyensia.ro … Key-words: Thomas Mann, Tonio Kröger, the statistical-semantic analysis, artist-burgher … Thus, as the statistical-semantic analysis shows, the protagonist of Thomas Mann’s story Tonio Kröger is neither burgher nor artist separately, but combines both sides/features in himself. … Related articles

Evaluating Supervised Semantic Parsing Methods on Application-Independent Data S Beschke – Pristine Perspectives on Logic, Language, and …, 2014 – Springer … Abstract. While supervised statistical semantic parsing methods have received a good amount of attention in recent years, this research has largely been done on small and specialized data sets. This paper intro- duces a work … Related articles All 5 versions

A Multilingual Spoken Language Understanding System S Laguna, M Giménez, M Calvo, F Garc?a, E Segarra… – edecan.dsic.upv.es … of these concepts. This information is very useful to train statistical semantic models. This way … the SLU module. The semantic decoding algorithm uses the statistical semantic models to process the graph of words. This algorithm … Related articles All 2 versions

Normality and Majority: Towards a Statistical Understanding of Normality Statements C Strößner – Erkenntnis – Springer … The argument has basically two parts: firstly, a statistical semantic core is mandatory for a descriptive reading of normality in order to explain the logical features of normality laws. … Can such descriptive interpretation abandon statistical semantics of normality statements? … Related articles All 2 versions

Generalisation over semantic cues in child and adult artificial language learning E Wonnacott, H Brown, K Nation, K Smith – 2014 – wrap.warwick.ac.uk … eg earlier arguments that first grammars are entirely semantic in nature (eg Macnarma 1982) • “semantic bootstrapping” hypothesis, eg Pinker (1989); Ambridge (2013) hybrid statistical/semantics approach Page 7. • Studies with adult learners Semantic cues Braine (1987) … All 2 versions

Sentence Validation by Statistical Language Modeling and Semantic Relations L Arya – ijcat.com … Keywords: language modeling, smoothing, chunking, statistical, semantic 1. INTRODUCTION NLP is a field of Computer Science and linguistics concerned with interactions between computers and human languages. NLP is referred to as AI-complete problem. … Related articles All 2 versions

Listening to executives B Anell – Producing Management Knowledge: Research as …, 2014 – books.google.com … Still, however, content analysis plays an important role as a flexible and useful analytic research tool. Content analysis is easy to apply if you want to use it mechanistically for counting words or for statistical semantics in general. Data programs to do this have been developed. … Related articles

Semi-Supervised Learning of Statistical Models for Natural Language Understanding D Zhou, Y He – The Scientific World Journal, 2014 – hindawi.com … finally take the most probable semantic tag sequence . The hidden Markov model (HMM), a generative model, has been predominantly employed in statistical semantic parsing. It models sequential dependencies by treating a … Related articles All 10 versions

Semantic parsing using lexicalized well-founded grammars G Kharkwal – 2014 – rucore.libraries.rutgers.edu … 5 2.1.1. Statistical semantic parsing . . . . . 6 … 2007; Muresan, 2010), make Lexicalized Well-Founded Grammars a better choice for applications in resource-poor settings where statistical semantic parsing is ill-suited. … Related articles All 2 versions

Dependency Parsing Features for Semantic Parsing W Monroe, Y Wang – stanford.edu … representations. We present two new classes of features for statistical semantic parsing that utilize information about syn- tactic structure, extracted from a depen- dency parse of an utterance, to score seman- tic parses for that utterance. … Related articles

Classifying web documents using term spectral transforms and Multi-Dimensional Latent Semantic representation H Zhang, S Bie, B Luo – Neural Networks (IJCNN), 2014 …, 2014 – ieeexplore.ieee.org … To overcome these shortcomings, two popular semantic representation techniques have been pro- posed: 1) eigen-semantics based method by finding the solu- tion of an eigenvalue problem; 2) statistical semantics based method using statistical inference and machine … Related articles

Exploring generalization using artificial language learning: comparing adult and child learners E Wonnacott – 2014 – wrap.warwick.ac.uk … eg earlier arguments that first grammars are entirely semantic in nature (eg Macnarma 1982) • “semantic bootstrapping” hypothesis, eg Pinker (1989); Ambridge (2013) hybrid statistical/semantics approach Page 7. • Studies with adult learners Semantic cues Braine (1987) … All 2 versions

Using Semantic Representations to Facilitate the Domain-Knowledge Portability of a Natural Language Interface to Databases R Florencia-Juárez, RAP Rangel… – Recent Advances on …, 2014 – Springer … Sydney, Australia, pp. 913–920 (2006). 8. Ge, R., Mooney, RJ: A statistical semantic parser that integrates syntax and semantics. In: Proceedings of the 9th Conference on Computational Natural Language Learning, pp. 9–16 … Related articles All 2 versions

Semantic Representation L Schubert – 2014 – cs.rochester.edu … Thus statistical semantics endeavors to reconstrue logical algebra as vector algebra, where words are high-dimensional vec- tors whose components are frequencies of collocation with other words or groups of words, and longer constituents are represented as vector … Cited by 2 Related articles All 4 versions

Talking to computers in natural language P Liang – XRDS: Crossroads, The ACM Magazine for Students, 2014 – dl.acm.org … The area of (statistical) semantic parsing provides an initial step toward bridging this gulf by applying machine learning to the problem of parsing sentences into logical forms. … Ray Mooney [7] and Luke Zettlemoyer [8] were among the first to develop statistical semantic parsers. … Related articles

An Effective Information Retrieval with Keyword Optimization B Singh, S Kumar – International Journal of Computer …, 2014 – search.proquest.com … Semantic approaches attempt to implement some degree of syntactic and semantic analysis; in other words, they try to reproduce to some (perhaps modest) degree the understanding of the natural language text that a human user would provide. … Related articles

Research on semantic similarity in information retrieval X WANG, L WAN – Computer Engineering and Applications, 2014 – en.cnki.com.cn … 4, Pan Jiayi, Chin-Pang Jack Cheng,, Gloria T. Lau, Kincho H. Law School of Civil Engineering, Tsinghua University, Beijing 100084, China; Engineering Informatics Group, Stanford University, CA 94305, USA;Utilizing Statistical Semantic Similarity Techniques for Ontology … Cited by 1 Related articles

Word Sense Disambiguation (WSD) J Kaur – ijtre.com … translation. In 1950’s Weaver acknowledged that context is crucial and recognized the basic statistical character of the problem in proposing that statistical semantic studies should be undertaken as a necessary primary step. … Related articles All 2 versions

End-User Construction of Influence Diagrams for Bayesian Statistics HP Lehmann – … in Artificial Intelligence: Proceedings of the Ninth …, 2014 – books.google.com … We shall target a particular user community throughout this paper: physician readers of reports of clinical trials, specifically, two-arm parallel ran- Metadata- State Diagram~ Metadata ConstruAtionStep\ Statistical Semantic Model Interface (a) Cohort-State Diagram~ Metadata … Related articles

Obtaining parallel corpora for Multilingual Spoken Language Understanding tasks F Garc?a, M Calvo, E Sanchis, LF Hurtado, E Segarra – edecan.dsic.upv.es … All this information makes it possible to learn a statistical semantic model for the task in the new language. For exam- ple: por la tarde, `a l’apr`es-midi, in the afternoon … o cuánto cuesta, quel est le prix, how much does it cost, …. … Related articles All 2 versions

Research of Semantic Role Labeling and Application in Patent knowledge Extraction Y He, Y Li – 2014 – ceur-ws.org … 2.2 SRL System for Simplified Sentences After obtaining the simplified sentences, we use the tool — Automatic Statistical SEmantic Role Tagger (ASSERT) (about this tool, you can find more information by visiting http://cemantix.org/publications.html) to label them. … Related articles

Graph-based Model for Topic Detection A Zhao, X Lin, J Yang – … on the International Conference on Artificial …, 2014 – world-comp.org … account. We refer to the task of topic modeling considering linguistic notions, such as “semantic” and “syntactic”, other than absolutely “statistical” . Semantic information, especially entity information, is potential for our work. … Related articles All 3 versions

Discovering Features Contexts from Images Using Random Indexing H Nakouri, M Limam – Combinatorial Image Analysis, 2014 – Springer … It was proposed by Karlgren and Sahlgren [7,12] and was originally used as a text mining technique. It is a word-occurrence based approach to statistical semantics. RI uses statistical approximations of the full word-occurrences data to achieve dimensionality reduction. … Related articles All 3 versions

The refined MI: A significant improvement to mutual information M Alrabiah, A Al-Salman… – … Processing (IALP), 2014 …, 2014 – ieeexplore.ieee.org … I. INTRODUCTION Distributional semantics, also called distributional lexical semantics, context-theoretic semantics, corpus- based semantics, statistical semantics, vector semantics, word or semantic spaces, and geometrical models of meanings [1], is an empirical approach … Related articles

Semantic Framework for an Efficient Information Retrieval in the E-Government Repositories A Martín, C León – … of Research on Democratic Strategies and …, 2014 – books.google.com Page 226. 192 Chapter 11 Semantic Framework for an Efficient Information Retrieval in the E-Government Repositories Antonio Martín Universidad de Sevilla, Spain Carlos León Universidad de Sevilla, Spain ABSTRACT An … All 2 versions

Finding Best Match in Virtual Database Using Semantic Matching Algorithms N Babanejad, S Saxena – 2014 – wiki.eecs.yorku.ca … It is important at this point to define three styles of analysis used in Semantic Analysis: A: Statistical: Semantic relationships between terms are got from the possibility of their co- occurrence in a text corpus (Resnik, 1993), which is a large collected works. Some of these statistical … Related articles

Parsing Algorithm for English to Indian Language Machine Translation System using Tree Adjoining Grammar Formalism L Nath, A Joshi – Journal of Advanced Research in …, 2014 – technology.adrpublications.com … Ruifang Ge Raymond J. Mooney, “A Statistical Semantic Parser that Integrates Syntax and Semantics”, In Proceeding: the Ninth Conference on Computational Natural Language Learning, Ann Arbor, MI, PP. 9-16, June 2005. … Related articles

Chinese Person Name Recognition Based on Naive Bayes H Zeng, J Wang, T Wan – P2P, Parallel, Grid, Cloud and …, 2014 – ieeexplore.ieee.org … recognizing Chinese person names using statistical semantic element. … Method of Identifying Chinese Personal Name Using Statistical Semantic Element[J]. Journal of Chinese Computer Systems, 2008, 29(12): 2339-2343 [11] Zhou Bo, Yang Guowei. … Related articles

Flickr Distance: A Motion Prediction Approach for Visual Concepts T Suganya, B Anuradha… – International Journal of …, 2014 – paper.ijcsns.org … To simulate the concurrence of concepts in human cognition, the calculation of conceptual correlation should be performed in daily life environment. To achieve this, we try to mine the statistical semantic relations between concepts from a large pool of the daily life photos. … Related articles All 3 versions

[BOOK] Disambiguation of Imprecise User Input Through Intelligent Assistive Communication K Wiegand – 2014 – karlwiegand.com … combined with a generational grammar Corpus Study #2: Predicting and Pruning Selections The purpose of this study will be to compare methods of addressing the Intended Set assumption with statistical semantics. The task will be … Related articles All 4 versions

Judging Words by Their Covers and the Company They Keep: Probabilistic Cues Support Word Learning J Lany – Child development, 2014 – Wiley Online Library … Facility with encoding would in turn make it easier to determine the referent of the novel word, and to form a robust mapping between them. Another possibility is that High-Grammar infants were better able to capitalize on statistical–semantic correlations among words. … Cited by 1 Related articles All 6 versions

Information and Asignification G Genosko – FOOTPRINT, 2014 – abe.tudelft.nl … As he explains, ‘this semantic receiver subjects the message to a second decoding, the demand on this one being that it must match the statistical semantic characteristics of the message to the statistical semantic capacities of the totality of receivers, or of that subset of receivers … Related articles All 8 versions

Discovering Multi-sense Features from Images Using Random Indexing H Nakouri, M Limam – Artificial Intelligence and Soft Computing, 2014 – Springer … It was proposed by Karlgren and Sahlgren [5, 9] and was originally used as a text mining technique. It is a word-occurrence based approach to statistical semantics. RI uses statistical approximations of the full word-occurrences data to achieve dimensionality reduction. … Related articles

A generic evaluation of a categorical compositional-distributional model of meaning An MSc thesis proposal J Zhang – 2014 – jiannanweb.com … arXiv preprint arXiv:1003.4394, 2010. [4] R. Ge and RJ Mooney. A statistical semantic parser that inte- grates syntax and semantics. In Proceedings of the Ninth Conference on Computational Natural Language Learning, pages 9–16. … Related articles All 2 versions

A semi supervised learning model for mapping sentences to logical forms with ambiguous supervision M Le Nguyen, A Shimazu – Data & Knowledge Engineering, 2014 – Elsevier Semantic parsing is the task of mapping a sentence in natural language to a meaning representation. The limitation of previous work on supervised semantic parsi. Cited by 1 Related articles All 5 versions

Probabilistic inductive logic programming based on answer set programming M Nickles, A Mileo – arXiv preprint arXiv:1405.0720, 2014 – arxiv.org … approach by Bacchus (Bacchus 1990). One language has a domain-frequency (or statistical) semantics, one has a possible worlds semantics (like our approach), and one bridges both types of semantics. While those languages as … Cited by 5 Related articles All 3 versions

Exploring potential R&D collaboration partners through patent analysis based on bibliographic coupling and latent semantic analysis I Park, Y Jeong, B Yoon, L Mortara – Technology Analysis & …, 2014 – Taylor & Francis Cited by 1 Related articles All 3 versions

Automatic keyphrase extraction: A survey of the state of the art KS Hasan, V Ng – Proceedings of the Association for …, 2014 – anthology.aclweb.org … Graph-based ranking for extended neighborhood (Wan and Xiao, 2008b) [×] 28.8 35.4 31.7 Papers (SemEval -2010) Statistical, semantic, and distributional features (Lopez and Romary, 2010) [/] 27.2 27.8 27.5 Table 2: Best scores achieved on various datasets. … Cited by 16 Related articles All 7 versions

Entity ranking for descriptive queries K Hong, P Pei, YY Wang… – … Workshop (SLT), 2014 …, 2014 – ieeexplore.ieee.org … 2012, pp. 1017–1026. [4] Asli Çelikyilmaz, Dilek Hakkani-Tür, and Gökhan Tür, “Statistical semantic interpretation modeling for spoken language understanding with enriched semantic features,” in SLT, 2012, pp. 216–221. [5 … Related articles All 4 versions

[BOOK] Knowledge Discovery in Scientific Literature J Nam, C Kirschner, Z Ma, N Erbs, S Neumann… – 2014 – crossing.tu-darmstadt.de … Education Server and the German Education In- dex (FIS Bildung Literaturdatenbank).2 Consisting of several related sub-projects, the KDSL program focuses on text mining, semantic analysis, and research monitoring, using methods from statistical semantics, data mining … Related articles All 9 versions

Multimedia Fusion M Lupu, R Bierig, P Duygulu, A Popescu, L France – ifs.tuwien.ac.at … 2.1 DISTRIBUTIONAL SEMANTICS There is something fundamentally attractive to the concept of statistical semantics, to the idea of … its meaning. All statistical semantics methods (and we include here the works of Schütze [42] and Lund [27]) … Related articles All 2 versions

Improved Text Clustering Using k-Mean Bayesian Vectoriser HM Alghamdi, A Selamat, NSA Karim – Journal of Information & …, 2014 – World Scientific Page 1. Improved Text Clustering Using k-Mean Bayesian Vectoriser Hanan M. Alghamdi* ,†,‡ and Ali Selamat †,§,? *Faculty of Computer Science Umm Al-Qura University, Al-Gunfdh, Saudi Arabia † Faculty of Computing, Universiti … Related articles All 6 versions

On the localness of software Z Tu, Z Su, P Devanbu – Proceedings of the 22nd ACM SIGSOFT …, 2014 – dl.acm.org Page 1. On the Localness of Software Zhaopeng Tu Zhendong Su Premkumar Devanbu Department of Computer Science, University of California at Davis, CA, USA {zptu,su,ptdevanbu}@ucdavis.edu ABSTRACT The n-gram … Cited by 15 Related articles All 6 versions

Ontological Meta-Analysis and Synthesis of HIPAA A Ramaprasad, T Syn, KT Win – Proceedings of PACIS, 2014 – papers.ssrn.com Page 1. Electronic copy available at: http://ssrn.com/abstract=2461113 ONTOLOGICAL META-ANALYSIS AND SYNTHESIS OF HIPAA Arkalgud Ramaprasad, College of Business Administration, University of Illinois at Chicago, Chicago, IL, USA, prasad@uic.edu … Cited by 1 Related articles All 6 versions

A Computational Learning Semantics for Inductive Empirical Knowledge KT Kelly – Johan van Benthem on Logic and Information …, 2014 – Springer Logo Springer. Search Options: … Cited by 1 Related articles All 5 versions

as a case study CWS Man – Routledge Encyclopedia of Translation Technology, 2014 – books.google.com … the difficult cases of ambiguity’. He believed that the translation problem could largely be solved by ‘statistical semantic studies’ as logical structures of language are with probabilistic uniformities. He thought the investigation …

The Hybrid Feature Selection k-means Method for Arabic Webpage Classification H Alghamdi, A Selamat – Jurnal Teknologi, 2014 – jurnalteknologi.utm.my … A New Method for Dimensionality Reduction using K- Means Clustering Algorithm for High Dimensional Data Set. Int. J. Comput. Appl. 13(7): 41–46. [5] Farahat, AK and MS Kamel.Statistical Semantics for Enhancing Document Clustering. 2011. Knowl. Inf. Syst. 28( 2): 365–393. … Related articles

Distributed Representations for Compositional Semantics KM Hermann – arXiv preprint arXiv:1411.3146, 2014 – arxiv.org … contexts of bicycle and oranges would be rather different. This distributional hypothesis provides the basis for statistical semantics, allowing the inference of semantics from distributional information extracted from sufficiently large cor- pora. … Cited by 1 Related articles All 2 versions

KIPTC: a kernel information propagation tag clustering algorithm G Xu, Y Zong, P Jin, R Pan, Z Wu – Journal of Intelligent Information …, 2014 – Springer … such as the similarity calculation of tag vectors. Therefore, clustering is often employed to capture the topical aggregates of tags, ie one kind of statistical semantics of tags. In real applications, we usually decompose the tripartite … Cited by 2 Related articles All 2 versions

Deep (Hierarchical) Classification of Tweets S Pratapa – 2014 – cse.iitkgp.ac.in … similar mean- ings. The underlying idea that ”a word is characterized by the company it keeps” was popularized by Firth. The Distributional Hypothesis is the basis for Statistical Semantics. Although the Distributional Hypothesis … Related articles

Learning semantic relations with distributional similarity P Herger – 2014 – lt.informatik.tu-darmstadt.de … Statistical semantics, as it is also known, caught on because it provides both large-scale coverage and “quantitative predictions about degrees of similarity (or relatedness)” while requiring little manual supervision (Baroni [2013]). … Related articles

Simultaneously Acquiring the Syntax and Semantics of Spatial Referring Expressions JB Wright – 2014 – arizona.openrepository.com Page 1. SIMULTANEOUSLY ACQUIRING THE SYNTAX AND SEMANTICS OF SPATIAL REFERRING EXPRESSIONS by Jeremy Bryan Wright CC ? BY: ? = ? Creative Commons Attribution-No Derivative Works 3.0 License A Dissertation Submitted to the Faculty of the … Related articles

Modeling biological processes for reading comprehension J Berant, V Srikumar, PC Chen, B Huang, CD Manning… – Proc. EMNLP, 2014 – aclweb.org Page 1. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1499–1510, October 25-29, 2014, Doha, Qatar. cO2014 Association for Computational Linguistics Modeling Biological Processes for Reading Comprehension … Cited by 15 Related articles All 14 versions

Big Systems-Big Data: Using Natural Language Processing for exploring Large Technical Systems R Jurowetzki – researchgate.net Page 1. Big Systems – Big Data: Using Natural Language Processing for exploring Large Technical Systems A Study of Smart Grid Development in Denmark ? Roman Jurowetzki Ph.D. Student, Aalborg University, Department … Related articles All 2 versions

Exploring Technology Evolution in Danish Smart Grid Development-An NLP approach R Jurowetzki – DRUID Academy Conderence, 2014 – druid8.sit.aau.dk Page 1. Paper to be presented at the DRUID Academy conference in Rebild, Aalborg, Denmark on January 15-17, 2014 Exploring Technology Evolution in Danish Smart Grid Development – An NLP approach Roman Jurowetzki … Cited by 2 Related articles All 2 versions

Structured generative models of natural source code CJ Maddison, D Tarlow – arXiv preprint arXiv:1401.0514, 2014 – arxiv.org Page 1. Structured Generative Models of Natural Source Code Chris J. Maddison1 CMADDIS@CS.TORONTO.EDU University of Toronto Daniel Tarlow DTARLOW@ MICROSOFT.COM Microsoft Research Abstract We study … Cited by 6 Related articles All 13 versions

Item-based patterns in early syntactic development B MacWhinney – Constructions, collocations, patterns, 2014 – books.google.com Page 39. Item-based patterns in early syntactic development Brian MacWhinney 1. From words to combinations Children begin language learning by producing one word at a time (Bloom 1973). It may seem obvious that children … Cited by 6 Related articles All 5 versions

Feed Forward Back Propagation Neural Network Based Character Recognition System For Tamil Palm Leaf Manuscripts J Ramya, B Parvathavarthini – Journal of Computer Science, 2014 – search.proquest.com … Character recognition techniques contain statistical, semantic, back propagation neural network, pattern recognition by (Phyu et al., 2011). The goal is to process the data that normally is processed only by humans with computers. … Related articles

Using web corpus statistics for program analysis CH Hsiao, M Cafarella, S Narayanasamy – Proceedings of the 2014 …, 2014 – dl.acm.org Page 1. Using Web Corpus Statistics for Program Analysis Chun-Hung Hsiao Michael Cafarella Satish Narayanasamy University of Michigan {chhsiao,michjc,nsatish}@ umich.edu Abstract Several program analysis tools—such … Cited by 1 Related articles

Mining idioms from source code M Allamanis, C Sutton – Proceedings of the 22nd ACM SIGSOFT …, 2014 – dl.acm.org Page 1. Mining Idioms from Source Code Miltiadis Allamanis, Charles Sutton School of Informatics, University of Edinburgh Edinburgh EH8 9AB, UK {m.allamanis,csutton}@ ed.ac.uk ABSTRACT We present the first method for … Cited by 9 Related articles All 4 versions

Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus S Mukherjee, J Ajmera, S Joshi – Proceedings of the 23rd ACM …, 2014 – dl.acm.org … between two terms, which suggests that terms sharing similar contexts are likely to be simi- lar. Random Indexing (RI) [45] is a word co-occurrence based ap- proach to statistical semantics. RI uses statistical approximations … Related articles All 5 versions

DeepQA Jeopardy! gamification: a machine-learning perspective AK Baughman, W Chuang, KR Dixon… – … Intelligence and AI …, 2014 – ieeexplore.ieee.org … the English Slot Grammar pars- ing, predicate argument structuring, rule-based named entity detection, intra-paragraph anaphora resolution, temporal normalization, temporal arithmetic, pattern- based semantic relation detection, and statistical semantic relation detection [5,10 … Cited by 2 Related articles All 2 versions

Grounded Knowledge Bases for Scientific Domains D Movshovitz-Attias – 2014 – cs.cmu.edu Page 1. Grounded Knowledge Bases for Scientific Domains Thesis Proposal Dana Movshovitz-Attias November 2014 Computer Science Department School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 dma@cs.cmu.edu … Related articles

Language-Independent Sentiment Polarity Detection in Movie Reviews: A Case Study of English and Spanish J Graovac, G Pavlovic-Lazetic – 6th International Conference …, 2014 – poincare.matf.bg.ac.rs … Mar- tinez and colleagues [13] applied the supervised approach to this corpus using different machine learning algorithms (SVM, NB, BBR, KNN, C4.5). Del-Hoyo [4] and others defined a hybrid statistical-semantic system for opinion detection in Spanish language texts. … Cited by 1 Related articles

Machine Translation–A Look Into The Future DAN TUFI? – … AND TOOLS FOR PROCESSING THE ROMANIAN …, 2014 – consilr.info.uaic.ro … machine translation. His statement is of perfect actuality:?and it is one of the chief purposes of this memorandum to emphasize that statistical semantic studies should be undertaken, as a necessary preliminary step?(ibid). The …

Learning from natural instructions D Goldwasser, D Roth – Machine learning, 2014 – Springer … learning algorithm is given a set of input sentences and their corresponding meaning repre- sentations and learns a statistical semantic parser—a set of semantic parsing rules mapping lexical items and syntactic patterns to their meaning representation and a score associated … Cited by 30 Related articles All 16 versions

Interpreting Natural Language Instructions Using Language, Vision, and Behavior L Benotti, T Lau, M Villalba – ACM Transactions on Interactive Intelligent …, 2014 – dl.acm.org Page 1. 13 Interpreting Natural Language Instructions Using Language, Vision, and Behavior LUCIANA BENOTTI, Universidad Nacional de Córdoba, Argentina/CONICET, Argentina TESSA LAU, Savioke, Inc., Sunnyvale, CA … Cited by 1 Related articles

Evaluation In Machine Translation And Computeraided Translation K Chunyu, BW Takming – Routledge Encyclopedia of Translation …, 2014 – books.google.com Page 395. 12 EVALUATION IN MACHINE TRANSLATION AND COMPUTERAIDED TRANSLATION Kit Chunyu CITY UNIVERSITY OF HONG KONG, HONG KONG, CHINA Billy Wong Takming THE OPEN UNIVERSITY OF HONG … Cited by 6 Related articles All 2 versions

The ASPIC+ framework for structured argumentation: a tutorial S Modgil, H Prakken – Argument & Computation, 2014 – Taylor & Francis Cited by 27 Related articles All 6 versions

Efficient semi-automated assessment of annotations trustworthiness D Ceolin, A Nottamkandath, W Fokkink – Journal of Trust Management, 2014 – Springer … Second, there is the family of statistical semantic similarity measures, which include, for instance, the Normalized Google Distance [40], that measures statistically the similarity between two words on the basis of the number of times that these occur and co-occur in documents … Cited by 8 Related articles All 4 versions

Multi-level adaptive active learning for scene classification X Li, Y Guo – Computer Vision–ECCV 2014, 2014 – Springer … Page 3. 236 X. Li and Y. Guo are much more easier to be identified by a human labeler. The object level labels may successfully infer the scene labels based on the object-based statistical semantic scene structure induced from the labeled data. … Cited by 3 Related articles All 3 versions

Clinical Text Retrieval-An Overview of Basic Building Blocks and Applications H Dalianis – Professional Search in the Modern World, 2014 – Springer Page 1. Clinical Text Retrieval – An Overview of Basic Building Blocks and Applications Hercules Dalianis Department of Computer and Systems Sciences Stockholm University PO Box 7003, 164 07 Kista Sweden hercules@dsv.su.se Abstract. … Cited by 2 Related articles All 4 versions

NLyze: Interactive programming by natural language for spreadsheet data analysis and manipulation S Gulwani, M Marron – Proceedings of the 2014 ACM SIGMOD …, 2014 – dl.acm.org Page 1. NLyze: Interactive Programming by Natural Language for SpreadSheet Data Analysis and Manipulation Sumit Gulwani Microsoft Research sumitg@microsoft.com Mark Marron Microsoft Research marron@microsoft.com … Cited by 9 Related articles All 9 versions

The influence of reviewer engagement characteristics on online review helpfulness: A text regression model TL Ngo-Ye, AP Sinha – Decision Support Systems, 2014 – Elsevier … This fundamental insight can be expressed as the statistical semantics hypothesis: the statistical patterns of human word usage can be exploited to figure out what people write or talk about [47]. The bag-of-words (BOW) model is a specific type of vector space model. … Cited by 6 Related articles All 2 versions

Learning natural coding conventions M Allamanis, ET Barr, C Bird, C Sutton – Proceedings of the 22nd ACM …, 2014 – dl.acm.org Page 1. Learning Natural Coding Conventions Miltiadis Allamanis† Earl T. Barr‡ Christian Bird? Charles Sutton† †School of Informatics ‡Dept. of Computer Science ?Microsoft Research University of Edinburgh University College London Microsoft … Cited by 20 Related articles All 12 versions

Using Natural Language Processing to Support Interview Analysis A Kaufmann – dirkriehle.com Page 1. Friedrich-Alexander-Universität Erlangen-Nürnberg Technische Fakultät, Department Informatik Andreas Kaufmann MASTER THESIS Using Natural Language Processing to Support Interview Analysis Submitted on 05.05.2014 Supervisors: Prof. Dr. Dirk Riehle, MBA … Related articles All 3 versions

OUT in Estonian, Võro, Latvian and Lithuanian A Karjus – academia.edu … and explicate their analysis. MDS will also be used to generate classical semantic maps in Chapter 7, advancing the discussion on the opposition of traditional and statistical semantic maps. Page 11. 1. Introduction 11 Chapter … Related articles

Volatility Prediction of Stock Price Using News Articles: A Hybrid Approach NPD TOAN – 2014 – scholarbank.nus.edu.sg Page 1. VOLATILITY PREDICTION OF STOCK PRICE USING NEWS ARTICLES: A HYBRID APPROACH PHUONG DANG TOAN NGUYEN Bachelor of Computing NUS (Computer Science) (First Class Honours) A THESIS SUBMITTED … Related articles All 2 versions

Clustering web documents using hierarchical representation with multi-granularity F Huang, S Zhang, M He, X Wu – World Wide Web, 2014 – Springer Page 1. Clustering web documents using hierarchical representation with multi-granularity Faliang Huang & Shichao Zhang & Minghua He & Xindong Wu Received: 23 May 2012 /Revised: 18 September 2012/ Accepted: 6 December … Cited by 3 Related articles All 8 versions

Feature-driven Question Answering with Natural Language Alignment X Yao – 2014 – cs.jhu.edu … 59 2.3.4. KB QA: Database Queries . . . . . 63 2.3.4.1. Early Years: Baseball, Lunar and 15+ More . . . 63 2.3.4.2. Statistical Semantic Parsing . . . . . 66 2.3.5. Hybrid QA (IR+NLP+KB) . . . . 71 2.3.5.1. IBM Watson . . . . . … Related articles All 2 versions

Conceptualizing the Nexus of “Interdependent Hegemony” between the Existing and the Emerging World Orders X Li – Fudan Journal of the Humanities and Social Sciences, 2014 – Springer Logo Springer. Search Options: … Cited by 13 Related articles All 33 versions

Graphs for margins of Bayesian networks RJ Evans – arXiv preprint arXiv:1408.1809, 2014 – arxiv.org Page 1. arXiv:1408.1809v1 [math.ST] 8 Aug 2014 Graphs for margins of Bayesian networks Robin J. Evans August 11, 2014 Abstract Directed acyclic graph (DAG) models, also called Bayesian networks, impose conditional … Related articles All 3 versions

Evolutionary models of ontogeny of linguistic categories and rules DD Hromada – wizzion.com Page 1. Slovak University of Technology in Bratislava Faculty of Electrical Engineering and Information Technology Department of Control and Cybernetics && University Paris 8 Ecole Doctoralle Cognition, Langage, Interaction Cognition Humaine et Artificielle …

Applying Computational Linguistics and Language Models: From Descriptive Linguistics to Text Mining and Psycholinguistics G Schneider – Habil, Zürich, 2014 – cl.uzh.ch Page 1. SYNOPSIS Applying Computational Linguistics and Language Models: From Descriptive Linguistics to Text Mining and Psycholinguistics Gerold Schneider Department of English Institute of Computational Linguistics … Related articles

A Generic Evaluation of a Categorical Compositional-distributional Model of Meaning J Zhang – 2014 – jiannanweb.com Page 1. A Generic Evaluation of a Categorical Compositional-distributional Model of Meaning University of Oxford MSc Computer Science Jiannan Zhang St Cross College Candidate Number: 409265 Supervisors: Bob Coecke, Dimitri Kartsaklis August 31, 2014 Page 2. … Related articles All 2 versions

Literature-based knowledge discovery in climate science E Aamot – 2014 – brage.bibsys.no … discover implicit relationships between terms for LBD. LSI is a statistical semantic model that uses mathematical techniques to uncover similarities between terms based on a collection of textual data. The authors first train an LSI … Related articles All 6 versions

Tools for visual scene recognition E Farahzadeh – 2014 – researchgate.net Page 1. TOOLS FOR VISUAL SCENE RECOGNITION ELAHE FARAHZADEH School of Computer Engineering A thesis submitted to the Nanyang Technological University in partial fulfillment of the requirements for the degree of Doctor of Philosophy 2014 Page 2. … Related articles All 3 versions

Autofolding for Source Code Summarization J Fowkes, R Ranca, M Allamanis, M Lapata… – arXiv preprint arXiv: …, 2014 – arxiv.org Page 1. Autofolding for Source Code Summarization Jaroslav Fowkes?, Razvan Ranca†, Miltiadis Allamanis?, Mirella Lapata? and Charles Sutton? ? School of Informatics, University of Edinburgh, Edinburgh, EH8 9AB, UK … Cited by 2 Related articles All 2 versions

[BOOK] Introducing Microsoft SQL Server 2014 R Mistry, S Misner – 2014 – books.google.com Page 1. :: Microsoft Introducing Microsoft SQL Server 2014 Technical Overview ROSS MISTRY ‘ STACIA MISNER Page 2. PUBLISHED BY Microsoft Press A Division ofMicrosoft Corporation One MicrosoftWay Redmond,Washington … Cited by 15 Related articles All 6 versions

[BOOK] Applied Architecture Patterns on the Microsoft Platform Second Edition A Dovgal, G Noriskin, D Olechko – 2014 – books.google.com Page 1. Professional Expertise Distilled Applied Architecture Patterns on the Microsoft Platform Second Edition Work wnth vanous Mlcrosoft technologies using Applied Architecture Patterns Andre Dovgal Gregor Noriskin [P §nfeigrlgs $ Dmitri Olechko ‘U.Ll!?lll° Page 2. … All 3 versions

Cscc: Simple, efficient, context sensitive code completion M Asaduzzaman, CK Roy, K Schneider… – … and Evolution (ICSME …, 2014 – ieeexplore.ieee.org Page 1. CSCC: Simple, Efficient, Context Sensitive Code Completion Muhammad Asaduzzaman Chanchal K. Roy Kevin A. Schneider Daqing Hou† Department of Computer Science, University of Saskatchewan, Canada †Electrical … Cited by 4 Related articles All 7 versions