Notes:
An Hypothesis Generator is a tool or a system designed to automatically generate potential hypotheses for a given problem or research question. The objective of an hypothesis generator is to assist researchers, scientists, or analysts in coming up with new and creative ideas, by suggesting potential relationships, patterns, or solutions based on existing data or knowledge. The generated hypotheses may then be tested and refined through experimentation, observation or data analysis.
Hypothesis generators are computer programs or algorithms that create multiple potential explanations or solutions to a problem. They work by using various techniques such as pattern recognition, data mining, statistical analysis, and artificial intelligence to generate hypotheses. The generated hypotheses are then evaluated and refined, with the best hypotheses being used to form the basis of further investigation. The goal of a hypothesis generator is to increase the speed and efficiency of the scientific process by generating a large number of potential explanations that can then be tested and refined.
Hypothesis generation in Natural Language Processing (NLP) involves creating tentative explanations or predictions about language-related problems, based on available data and prior knowledge. This is usually done through various techniques, such as machine learning, rule-based systems, and symbolic reasoning. The hypothesis generated can then be tested and refined through experimentation and evaluation to improve the accuracy of NLP models. The goal of hypothesis generation in NLP is to help build models that can understand, generate, and translate human language more effectively.
Hypothesis generation is used in various fields for several purposes, including but not limited to:
- Scientific research: generating and testing hypotheses to advance understanding in various scientific disciplines.
- Business and market research: generating hypotheses to understand consumer behavior and market trends.
- Artificial Intelligence and machine learning: generating hypotheses to test models and algorithms and improve their performance.
- Natural language processing (NLP): generating hypotheses to understand and analyze text data, including sentiment analysis, topic modeling, and text classification.
- Medical diagnosis: generating hypotheses to diagnose illnesses and guide medical treatments.
The purpose of hypothesis generation is to identify potential relationships or explanations for observed phenomena, and to guide further investigation or testing.
Synthetic reasoning is a type of reasoning that involves combining multiple pieces of information or evidence to form a conclusion. In synthetic reasoning, the goal is to generate new insights, ideas, or hypotheses based on the information at hand, rather than simply verifying existing knowledge. This type of reasoning is often used in scientific research, problem-solving, and creative thinking, and can be applied in various fields including artificial intelligence, cognitive psychology, and linguistics.
In synthetic reasoning, hypothesis generation refers to the process of creating new potential explanations or solutions to a problem, based on existing knowledge and information. This process can involve using various techniques, such as analogical reasoning, inductive reasoning, deductive reasoning, and others, to generate new ideas. The generated hypotheses can then be tested and evaluated, with the best ones being refined and used to solve the problem at hand. In NLP, hypothesis generation can be used for tasks such as text classification, information extraction, and question answering, where the system generates a list of potential answers or explanations based on the input text and then ranks them based on their likelihood of being correct.
See also:
Hypothesis Generation & Dialog Systems | Hypothesis Generation Module | Hypothesis Pruning
Multi-engine machine translation guided by explicit word matching S Jayaraman, A Lavie – Proceedings of the ACL 2005 on Interactive …, 2005 – dl.acm.org … One goal of the evalua- tion was to see how rich the space of synthetic translations produced by our hypothesis generator is. … In Proceedings of the Fourth Conference on Applied Natural Language Processing (ANLP- 94), Stuttgart, Germany, 1994. … Cited by 80 Related articles All 30 versions
Text mining and its potential applications in systems biology S Ananiadou, DB Kell, J Tsujii – Trends in biotechnology, 2006 – Elsevier … Here, we shall briefly describe the building blocks of the TM and natural language processing techniques that enable us to make associations for hypothesis generation (Box 1). Box 1. Natural language processing and text mining. … Cited by 227 Related articles All 13 versions
Towards entailment-based question answering: ITC-irst at CLEF 2006 M Kouylekov, M Negri, B Magnini… – Evaluation of Multilingual …, 2007 – Springer … The view underly- ing the rte challenge [3] is that different natural language processing applica- tions, including Question Answering (QA … edit distance algorithm is launched over the output of two pre-processing modules, namely the Text Extractor, and the Hypothesis Generator. … Cited by 12 Related articles All 7 versions
Bob: a lexicon and pronunciation dictionary generator V Wan, J Dines, A El Hannani… – … Workshop, 2008. SLT …, 2008 – ieeexplore.ieee.org … To achieve this efficiently an automatic pronunciation hypothesis generator is incorporated that uses classification and regression trees (CARTs) [5] (see section 3 for more details). The CART predictor can generate pronunciation hypotheses for any word. … Cited by 6 Related articles All 8 versions
Cross-lingual Syntactic Subcategorization Analysis Based on Chinese and English Sentence Pairs X Han, T Zhao, C Zhu – Programme Committee 7, 2008 – textminingcentre.ac.uk … might as well promote the acquisition performance to a certain degree, bilingual SCF types for individual pairs of parallel verbs are yet to be acquired, and some types unseen by the hypothesis generator might be … Head-Driven Statistical Models for Natural Language Parsing. … Cited by 3 Related articles All 9 versions
BioExcom: Detection and categorization of speculative sentences in biomedical literature J Desclés, M Alrahabi, JP Desclés – Human Language Technology. …, 2011 – Springer … 28–36. ACL (2009) 7. Özgür, A., Radev, D.: Detecting Speculations and their Scopes in Scientific Text. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Singapore, August 6-7, pp. … A fishing buddy for hypothesis generators. … Cited by 5 Related articles All 8 versions
Weakly supervised SVM for Chinese-English cross-lingual subcategorization lexicon acquisition X Han, C Lv, T Zhao – The 11th joint conference on information …, 2008 – atlantis-press.com … are fo- cused on statistical filtering, and there is no supervised training for the generation of hypotheses in relevant experiments, whereas our experiment replaced the un- supervised hypothesis generator with a … M. Head-Driven Statistical Models for Natural Language Pars- ing. … Cited by 2 Related articles All 2 versions
Query driven hypothesis generation for answering queries over nlp graphs C Welty, K Barker, L Aroyo, S Arora – The Semantic Web–ISWC 2012, 2012 – Springer … supplied by system components, and provenance information indicating where the triple was believed to have been stated in natural language. … Each hypothesis set from the hypothesis generator contains hypotheses in the form of RDF statements, which, if added to the primary … Cited by 4 Related articles All 6 versions
[BOOK] Embodied conversational agents in Wizard-of-Oz and multimodal interaction applications M Rojc, T Rotovnik, M Brus, D Jan, Z Ka?i? – 2007 – Springer … final partial hypothesis generator 3D model Unit 1 3D model Unit 2 final partial hypothesis generator Phoneme-to-viseme mapping preprocessing Net server Net client + audio capture Phoneme-to-viseme mapping preprocessing Net server … Cited by 2 Related articles All 5 versions
Graph-based approach to the question answering task based on entrance exams H Gmez-Adorno, G Sidorov, D Pinto… – Notebook for PAN at …, 2014 – ceur-ws.org … 2 System Architecture For many problems in natural language processing, graph structure is an in- tuitive, natural and direct way to represent data. … Document Processing XML Interpreter Question Analysis – Anaphora Resolution Hypothesis Generator (Question + Answer) … Cited by 2
Automatic annotation of speculation in biomedical texts: new perspectives and large-scale evaluation J Desclés, O Makkaoui, T Hacène – … Speculation in Natural Language …, 2010 – dl.acm.org … International Conference on Natural Language Processing, GoTAL, Go- thenburg, Sweden, pp 41-51 Blagosklonny MV, Pardee AB (2002) Conceptual biology: unearthing the gems. Nature 416: 373 Brent R, Lok L (2005) Cell biology. A fishing bud- dy for hypothesis generators. … Cited by 3 Related articles All 12 versions
Improving English subcategorization acquisition with diathesis alternations as heuristic information X Han, T Zhao, X Fu – Proceedings of the COLING/ACL on Main …, 2006 – dl.acm.org … More essential aspects of our future work, however, will focus on improving the perform- ance of the hypothesis generator, and testing and … Large lexicons for natural language processing utilizing the grammar coding system of the Longman Dictionary of Con- temporary English. … Cited by 1 Related articles All 7 versions
Automatic Retrieval of Musical Rhythmic Patterns B Kostek, J Wojcik – Audio Engineering Society Convention 119, 2005 – aes.org … Music as Language The structure of rhythm in a musical piece is analogous to grammatical structure of a sentence in a natural language. … The mathematical model is described in the previous work of the authors [13], and the hypothesis generator along with its pseudocode is … Cited by 3 Related articles All 2 versions
Story-Level Inference and Gap Filling to Improve Machine Reading. H Chalupsky – FLAIRS Conference, 2012 – aaai.org … We start with a natural language document such as the particular game report shown, and send that to a state-of-the-art information … Even though this is an abductive inference process, the use of hypothesis generators such as “possible- PlayScores” allows us to do this with a … Cited by 2 Related articles All 8 versions
Arabic language learning assistance based on automatic speech recognition system M Belgacem, A Maatallaoui, M ZRIGUI – world-comp.org … multi- disciplinary effort, requiring the integration of phonetics of the Arabic language, speech processing techniques and Arabic natural language processing … This hypothesis generator is often modeled by local statistical models of elementary units of speech, such as a phoneme … Related articles All 7 versions
A Sequence Kernel Method for Chinese Subcategorization Analysis X HAN, M YU, C ZHU, T ZHAO – Chinese Journal of Electronics, 2010 – ejournal.org.cn … 92.36% on the testing set, which is 13.51% higher than the baseline performance of the existing Chinese sub- categorization hypothesis generator. … large subcategorized verbal lexicons have been proved to be cru- cially important for many tasks of natural language process- ing …
Arabic Language Learning Assisted by Computer, based on Automatic Speech Recognition N Terbeh, M Zrigui – arXiv preprint arXiv:1205.3316, 2012 – arxiv.org … The use of the natural language in human-machine puts technology within reach of all and leads to its extension, reducing constraints on the use of … This hypothesis generator is often modeled by local statistical models of elementary units of speech, for example a phoneme. … Related articles All 3 versions
Automatic LSA-Based Retrieval of Synonyms (for Search Space Extension) K Ekštein, L Kr?má? – Recent Progress in Data Engineering and Internet …, 2013 – Springer … technique. LSA serves as a hypothesis generator which produces hypotheses about the words that might be synonyms. Subsequently … systems. These systems accept a natural language question on certain topic instead of keywords. The … Related articles All 4 versions
A graph-based multi-level linguistic representation for document understanding D Pinto, H Gómez-Adorno, D Vilariño… – Pattern Recognition …, 2014 – Elsevier … In this paper, we propose a graph-based representation of textual documents that employs different levels of formal representation of natural language. This schema takes into account different linguistic levels, such as lexical, morphological, syntactical and semantics. … Cited by 3 Related articles All 3 versions
The Statusquo of MKM C Rosenkranz – risc.jku.at … Given the set of axioms and definitions, the hypothesis generator(HG) builds up: • a finite sequence {Hi}i=1..n where Hi is a set of hypotheses and • a selection of axioms and terms of interest … It is a compromise between a formal-language and natural- language postprocessor. … Related articles All 2 versions
Chinese Subcategorization Annotation Based on Machine Learning X Han – … and Convergence Information Technology, 2009. ICCIT …, 2009 – ieeexplore.ieee.org … of 92.36% on the testing set, which is 13.51% higher than the baseline performance of the existing Chinese SCF hypothesis generator. … 7]. And large subcategorized verbal lexicons have been proved to be crucially important for many tasks of natural language processing, such … Related articles All 5 versions
Research of Humanoid Intelligent Control System Based on Knowledge Driving HH Zhu, DF Chen – Industrial Electronics and Applications, …, 2006 – ieeexplore.ieee.org … b) The technique of understanding natural language [7] Researching the characteristic recognition and classification method of voice and text, establishing high efficiency model to understand natural language, bringing about applied expression … 4.3 Hypothesis Generator … Related articles
NTPC: N-fold templated piped correction D Wu, G Ngai, M Carpuat – Natural Language Processing–IJCNLP 2004, 2005 – Springer … NTPC is particularly well suited for natural language applications involving high-dimensional feature spaces, such as bracketing and disambiguation … hypotheses than the base model, owing to its template-driven (and thus, template-constrained) hypothesis generator, (2) being … Related articles All 5 versions
English and Chinese Verb Sub categorization Lexicon Construction X Han – Asian J. Inform. Techno, 2008 – docsdrive.com … of distribution of predicative features, is indispensable knowledge for further development in the field of natural language processing and thus … that three main causes should account for the comparatively unsatisfactory performance: the imperfect hypothesis generator, the Zipfian … Cited by 1 Related articles All 2 versions
Novel Applications Of Neural Networks In Speech Technology Systems: Search Space Reduction And Prosodic Modeling J. … R SAN-SEGUNDO… – … Automation and Soft …, 2009 – geintra-uah.org … Hypothesis Generator … The inputs to the prosody estimation module are generated by the natural language processing stages, and are typically related to the phonetic context of the input text, the syllabic structure, the relative position of the phonetic or lexical unit being … Related articles All 13 versions
Designing the Workflow of a Language Interpretation Device Using Artificial Intelligence J Hossain, MA Rashid – iosrjournals.org … function, function_check_language () returns language [“input language”] array) { Select the target language; if (“Selected language (Bangla, English…)”) { Apply target hypothesis generator; //Apply word … Speech and Natural Language, Proceedings of a Workshop, HLT, 1991. Related articles All 2 versions
Two Approaches for QA4MRE: Information Retrieval and Graph-based knowledge representation H Gómez-Adorno, D Pinto, D Vilarino – ims-sites.dei.unipd.it … 1, 2]. Answering a question about a given text in an automatic way to evaluate the understanding of that text, is a very difficult task that oftenly has been tackled in the literature through some Natural Language Processing (NLP … Hypothesis Generator (Question + Answer) … Related articles
Argumentation-logic for creating and explaining medical hypotheses MA Grando, L Moss, D Sleeman, J Kinsella – Artificial intelligence in …, 2013 – Elsevier … The hypothesis generator allows inferring a list of possible hypothesis explaining a patient’s anomalous response to ICU treatment, ordered by the strength of supportive medical evidence. The last stage consisted of developing a natural language explanation system that … Cited by 2 Related articles All 8 versions
Fault diagnosis in discrete-event systems: Incomplete models and learning DL Yeung, RH Kwong – American Control Conference, 2005. …, 2005 – ieeexplore.ieee.org … computational learning methods for finite automata, such as the use of genetic algorithms, have been applied to natural language processing applications [7 … both the old hypotheses as well as the new transitions, and therefore can be taken as the updated hypothesis generator. … Cited by 4 Related articles All 3 versions
Second year report T Lippincott – 2011 – cl.cam.ac.uk … As a pre-processing step, a corpus of text is processed with a natural language parser to produce a syntactic analysis for each sentence. The hypothesis generator uses the parser output to decide which SCF is taken by each verb in each sentence. … Related articles
Finite state grammar transduction from distributed collected knowledge R Gupta, K Hennacy – Computational Linguistics and Intelligent Text …, 2006 – Springer … First, by utilizing the FSGT model, the SLM models do not have to be tagged for natural language interpretation. … perfor- mance of the two-pass approach is due to the acceptance criteria introduced by passing candidate phrases from the SLM hypothesis generator through the … Cited by 2 Related articles All 10 versions
How something can be said about telling more than we can know: On choice blindness and introspection P Johansson, L Hall, S Sikström, B Tärning… – Consciousness and …, 2006 – Elsevier The legacy of Nisbett and Wilson’s classic article, Telling More Than We Can Know: Verbal Reports on Mental Processes (1977), is mixed. It is perhaps the most. Cited by 101 Related articles All 13 versions
Context-Sensitive Truth-Theoretic Accounts of Semantic Competence S Gross – Mind & Language, 2005 – Wiley Online Library … There are a finite number of lexical items in a natural language and thus a finite number of possible constituents. … An adequate characterization of cognized truth-theories would then be one that captured in natural language more-or-less how speakers represent them in LOT. … Cited by 11 Related articles All 10 versions
Discriminative reranking for spoken language understanding M Dinarelli, A Moschitti… – Audio, Speech, and …, 2012 – ieeexplore.ieee.org … Although such metrics is domain specific, it can be easily adapted to other natural language processing tasks. … In this work we use kernel functions particularly suitable for Natural Language Processing (NLP) tasks: string kernels, eg [11] and Tree Kernels, eg [9], [12]. … Cited by 11 Related articles All 7 versions
A Knowledge-Based Approach to Lexical Analogy T Veale – Citeseer … But more that this, it may be useful to integrate the KNOW-BEST approach not just as a module with its own weighted vote, but as a hypothesis-generator that can explain … Proceedings of the International Conference on Recent Advances in Natural Language Processing (2003). … Related articles All 3 versions
Machine Learning, Clustering and Polymorphy LN Kanal, JF Lemmer – Uncertainty in Artificial Intelligence, 2014 – books.google.com … because categorization is a basic process that underlies many artificial intelligence domains including expert systems, natural language processing, semantic … WITT has three major components: a linear goal stack, a hypothesis generator and a transmission (see below) metric …
BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation AM Liekens, J De Knijf, W Daelemans, B Goethals… – Genome …, 2011 – biomedcentral.com … datasets [3-5]. The statistical fusion of prioritizations from multi- ple, heterogeneous resources allows for ranking by incorporating diverse types of knowledge [6,7]. Alterna- tively, literature mining is a related research theme that employs natural language processing to extract … Cited by 55 Related articles All 21 versions
Parallel corpora, alignment technologies and further prospects in multilingual resources and technology infrastructure I Tufis, R Ion – Proceedings of the 4th International Conference on …, 2007 – racai.ro … 1 http://langtech.jrc.it/JRC-Acquis.html 2 http://www.isi.edu/natural-language/download/hansard/ … The sentence aligner consists of a hypothesis generator which creates a list of plausible sentence alignments from the parallel corpus (see [6] for more details) and a filter which … Cited by 11 Related articles All 5 versions
Approaches to verb subcategorization for biomedicine T Lippincott, L Rimell, K Verspoor… – Journal of biomedical …, 2013 – Elsevier … As a pre-processing step, a corpus of text is processed with a natural language parser to produce a syntactic analysis for each sentence. The hypothesis generator uses the parser output to decide which SCF is taken by each verb in each sentence. … Cited by 3 Related articles All 9 versions
Bayesian Inference for Bilingual Word Learning S Rolotti, P Li – sites.psu.edu … Extending these findings beyond artificial language, Hay, Pelucchi, Estes, & Saffran (2011) went on to show that 17 month olds were able to track bidirectional transitional probability statistics from two minutes of exposure to an unfamiliar natural language (ie, Italian) to parse … Related articles
Bounding the probability of error for high precision recognition A Kae, GB Huang, E Learned-Miller – arXiv preprint arXiv:0907.0418, 2009 – arxiv.org … More formally, we treat a third party OCR system (in this case, the open source OCR program Tesseract [1]) as a null hypothesis generator, in which each attempted transcription T produced by the OCR system is treated as the basis for a separate null hypothesis. … Cited by 5 Related articles All 12 versions
Scalable graph-based learning applied to human language technology A Alexandrescu – 2009 – researchgate.net … means to utilize unlabeled data in machine learning by placing data points in a similarity graph. However, applying graph-based semi-supervised learning to natural language processing tasks … First, natural language features are often discrete and do not readily re- … Cited by 1 Related articles All 7 versions
Ontology-Based Word Sense Disambiguation in Parallel Corpora IM Slavcheva, G Angelova, K Simov – racai.ro … a generally accepted idea that the WSD task is highly instrumental (if not indispensable) in semantic processing of natural language documents … The sentence aligner consists of a hypothesis generator which creates a list of plausible sentence alignments from the parallel corpus … Related articles All 4 versions
Towards a Framework for Cognitive Research using Agent-Based Modeling and Complexity Sciences: two case studies. P Blikstein, D Abrahamson, U Wilensky – ncrve.berkeley.edu Page 1. 1 Towards a Framework for Cognitive Research using Agent-Based Modeling and Complexity Sciences: two case studies. Paulo Blikstein Stanford University paulob@stanford. edu Dor Abrahamson Berkeley University dor@berkeley.edu … Related articles All 17 versions
Boosted string representation and its application to video surveillance JW Hsieh, YT Hsu – Pattern Recognition, 2008 – Elsevier … To tackle the problems, a novel string hypothesis generator is then proposed for generating a bank of string features from which different … [18] used a concept hierarchy to recognize various behaviors of single person by translating them to natural language-based descriptions. … Cited by 8 Related articles All 4 versions
Plans as products of learning S Karim, B Subagdja, L Sonenberg – Proceedings of the IEEE/WIC/ACM …, 2006 – dl.acm.org … The second approach (section V) uses a hypothesis generator to amend existing BDI-plans by way of suggesting and executing plans and … The field of psychosemantics and those who propose that there is a natural language of thought have posited that, indeed, there is a … Cited by 9 Related articles All 6 versions
Text Mining and Medicine: Usefulness in Respiratory Diseases D Piedra, A Ferrer, J Gea – Archivos de Bronconeumología (English Edition), 2014 – Elsevier … 10; C. Friedman; A broad-coverage natural language processing system. Proc Amia Symp (2000), pp. 270–274. … Cited by 1 Related articles All 4 versions
Cognitive and Social Determinants of Discovery in SLA A BERETTA, G CROOKES – sls.hawaii.edu … Given these differences, the information offered at each level suggested investigations at the otherlevel. This resulted in revisionsin the theoriesdevelopedateachlevel.Herecross- levelidentification servedas an hypothesis- generator. . . . (Bechtel 1988: 85, emphasesadded) … Related articles
Language intervention in Arabic–English bilingual aphasia: A case study MIK Knoph – Aphasiology, 2013 – Taylor & Francis … W. (2010). Models as hypothesis generators and models as roadmaps. Bilingualism: Language and Cognition, 13(3), 383–384. doi: 10.1017/S1366728910000167 [CrossRef], [Web of Science ®] View all references). The RHM … Related articles
An Architecture for Universal Knowledge-based Agent U Knowledge-based – breakk.no-ip.org … grams and their modifications described in chapter 4. For learning about causal rules, we introduce an algorithm called Categorized Causal Hypothesis Generator. It is described in the section 7.5.3. Monitoring of plan execution and dealing with discrepancies is (among other … Related articles All 4 versions
Estimation and selection via absolute penalized convex minimization and its multistage adaptive applications J Huang, CH Zhang – The Journal of Machine Learning Research, 2012 – dl.acm.org … in this case, the open source OCR program Tesseract (http://code.google.com/p/tesseract-ocr/) as a null hypothesis generator, in which … Kukich (1992) surveyed various methods to correct words, either in isolation or with context, using natural language processing techniques. … Cited by 7 Related articles All 13 versions
Pi_ {ODA}: the paper interface to ODA A Dengel, R Bleisinger, R Hoch, F Hönes, F Fein… – 2011 – scidok.sulb.uni-saarland.de Page 1. Deutsches Forschungszentrum fUr KOnstliche Intelligenz GmbH Research Report RR-92-02 TIODA: The Paper Interface to ODA Andreas Dengel, Rainer Bleisinger, Rainer Hoch, Frank Hones, Frank Fein, Michael Malburg February 1992 … Cited by 4 Related articles All 2 versions
Two-Fold Filtering for Chinese Subcategorization Acquisition with Diathesis Alternations Used as Heuristic Information1 X Han, T Zhao – ?????????, 2006 – aclweb.org … More essential aspects of our future work, however, will focus on improving the performance of the hypothesis generator, and testing … extraction of subcategorization from corpora, ” In Proceedings of the 5th ACL Conference on Applied Natural Language Processing, Washington … Cited by 2 Related articles All 11 versions
European Union Training Application (EU Tap) R Hegarty, S Conlon, E Blyth – paulmckevitt.com … Background —One of the Main reasons why it is so difficult for computers to understand natural language (and indeed visual … Initial Interpretation Of image Hypothesis Generator Further Semantic Interpretation Of text Further Scene analysis Hypothesis of Image/text Contents … Related articles All 3 versions
Token frequency and phonological predictability in a pattern association network: implications for child language acquisition V Marchman, K Plunkett – 11th Annual Conference Cognitive …, 2014 – books.google.com … cal Research committee. The authors sincerely thank the members of the Center for Research in Language and the PDP Natural Language Processing Discussion group at UCSD. 184 Page 214. MARCHMAN & PLUNKETT … Cited by 7 Related articles
Bounding the probability of error for high precision optical character recognition GB Huang, A Kae, C Doersch… – The Journal of Machine …, 2012 – dl.acm.org … in this case, the open source OCR program Tesseract (http://code.google.com/p/tesseract-ocr/) as a null hypothesis generator, in which … Kukich (1992) surveyed various methods to correct words, either in isolation or with context, using natural language processing techniques. … Cited by 3 Related articles All 11 versions
‘Modality relativity’: the influence of sign language and spoken language on conceptual categorization K Grote – 2013 – darwin.bth.rwth-aachen.de … come to accept that sign languages have all of the grammatical and expressive sophistication of true language and that indeed human natural language exists in at least two language modalities. This finding is without question … Related articles All 3 versions
High precision multi-genome scale reannotation of enzyme function by EFICAz AK Arakaki, W Tian, J Skolnick – BMC genomics, 2006 – biomedcentral.com … We believe that more elaborate approaches for detecting these ignored but highly confident functional assignments (eg methods based on natural-language processing of … EFICAz predictions as hypothesis generators for understanding functional roles of hypothetical proteins. … Cited by 19 Related articles All 14 versions
Technologies and Tools for Lexical Acquisition L Rimell, A Korhonen, V Quochi, N Bel, T Caselli… – 2014 – repositori.upf.edu … The hypothesis generator records the frequency of all subsets of each observed frame in treebank data, and considers them from larger (more arguments) to smaller. … In Proceedings of the 5th ACL Conference on Applied Natural Language Processing, Washington, DC. … Related articles All 6 versions
Retrieval and Structuring of Large Mathematical Knowledge Bases in Theorema C Rosenkranz – risc.jku.at Page 1. Retrieval and Structuring of Large Mathematical Knowledge Bases in Theorema Dissertation zur Erlangung des akademischen Grades Doktorin der technischen Wissenschaften Angefertigt am Institut für Symbolisches Rechnen Eingereicht von: Camelia Rosenkranz … Related articles All 5 versions
Defrosting the digital library: bibliographic tools for the next generation web D Hull, SR Pettifer, DB Kell – PLoS computational biology, 2008 – dx.plos.org … Neither do we discuss the many sophisticated tools for text mining and natural language processing (eg, [39]–[42]), for joining disparate concepts [43],[44], for literature-based discovery (eg, [45]–[49], and for studies of bibliometrics [50],[51], literature dynamics [52], knowledge … Cited by 153 Related articles All 18 versions
Symbolic Computation A Bundy, H Gallaire, A Joshi, D Lenat, E Sandewall… – Papers on Computational … – Springer … XIV, 158 pages, 48 figs., 1984 L. Bolc (Ed.): Natural Language Communication with Pictorial Information Systems. VII, 327 pages, 67 figs., 1984 … IX, 208 pages, 34 figs., 1987 L. Bolc (Ed.): Natural Language Parsing Systems. XVIII, 367 pages, 151 figs., 1987 … Cited by 1 Related articles All 2 versions
Learning Bilingual Categories in Unsupervised Inversion Transduction Grammar Induction M SAERS, D WU – IWPT-2013, 2013 – acl.cs.qc.edu … The novel learning method we propose consists of an initial hypothesis generator that proposes (a) short lexical translations and (b … 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of … Related articles All 4 versions
DIT-University of Trento Recognizing Textual Entailment with Tree Edit Distance: Application to Question Answering and Information Extraction M Kouylekov – 2006 – Citeseer … attracting a lot of interest during the years and poses significant issues in front of systems aimed at natural language understanding. … As an example, a challenging task for a natural language understanding system is to recognize that all sen- … Related articles All 2 versions
Acquisition of Morphology in Estonian R Argus – 2008 – Citeseer … The child gradually collects occurrences of the lexeme and compares them with the forms generated by the so-called hypothesis generator or those … that would be valid for the entire linguistic material; rather, they focus on how speakers actually use natural language and create … Cited by 10 Related articles
A framework for creating semantic wikis for biomedical research laboratories D Davison – 2013 – essay.utwente.nl … Because we can understand the natural language used on a regular wiki, this information may appear structured in our eyes. … who have constructed an automated hypothesis generator and accompanying robot scientist using a large biological knowledge base concerning yeast … Related articles All 4 versions
Criminal Network Mining and Analysis for Forensic Investigations R Alzaidy – 2010 – spectrum.library.concordia.ca … ME Maximum Entropy NER Named Entity Recognition NLP Natural Language Processing OTS Open Text Summarizer … punctuation conventions. Several open source NER tools have emerged, which employ Natural Language Processing (NLP) techniques. … Cited by 1 Related articles
Idiom treatment experiments in machine translation D Anastasiou – 2010 – scidok.sulb.uni-saarland.de … (Fillmore; Kay; O’ Connor, 1988: 504) If natural language had been designed by a logician, idioms would not exist. … AMTA – Association for Machine Translation in the Americas ANLP – Applied Natural Language Processing Conference … Cited by 2 Related articles All 3 versions
Synthetic Reasoning JA Crowder, JN Carbone, SA Friess – Artificial Cognition Architectures, 2014 – Springer Logo Springer. Search Options: … Related articles
Novel Integrative Bioinformatics Approaches to Biomedical Ontology Practice for Translational Informatics S Sarntivijai – 2012 – deepblue.lib.umich.edu … 119 5.5 The future of OAE: OAE as a hypothesis generator ….. 120 5.5.1 Adverse event data extraction and statistical analysis of AEs ….. 121 5.5.2 Natural language and ontology processing with UMLS ….. 121 … Related articles All 3 versions
Content-Based Medical Image Retrieval TW Cai, J Kim, DD Feng – 2008 – rp-www.cs.usyd.edu.au Page 1. 1 4 CONTENT-BASED MEDICAL IMAGE RETRIEVAL Dr. Weidong Cai1, Dr. Jinman Kim1, Prof. David Dagan Feng1,2 1BMIT Research Group, School of Information Technologies, The University of Sydney 2Dept. of … Cited by 23 Related articles All 2 versions
Design and Implementation of a Speaker-Independent Voice Dialing System: A Multi-lingual Approach J Iso-Sipilä – … teknillinen yliopisto. Julkaisu-Tampere University of …, 2008 – dspace.cc.tut.fi … 22 2.4. SPEECH SYNTHESIS ….. 24 2.4.1. Natural Language Processing for TTS….. … N-best N best matches NLP Natural Language Processing OOV Out-of-Vocabulary (word) … Related articles All 2 versions
Human societies: understanding observed social phenomena B Edmonds, P Lucas, J Rouchier, R Taylor – Simulating Social Complexity, 2013 – Springer … 714 B. Edmonds et al. Page 7. gap between essentially formal symbols with precise but limited meaning and the rich semantic associations of the observed social world (for example as expressed in natural language) is particularly stark. … Cited by 6 Related articles All 7 versions
Estimation of gene network parameters from imaging cytometry data MW Lux – 2013 – vtechworks.lib.vt.edu Page 1. Estimation of gene network parameters from imaging cytometry data Matthew William Lux Dissertation submitted to the faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of … Related articles All 2 versions
Agent-based approaches to dynamic team simulation K Sycara, M Lewis – 2008 – DTIC Document Page 1. Navy Personnel Research, Studies, and Technology Division Bureau of Naval Personnel (NPRST/BUPERS-1) Millington, TN 38055-1000 NPRST-TN-08-9 September 2008 Agent-based Approaches to Dynamic Team Simulation … Cited by 5 Related articles
Predicting and characterising protein-protein complexes IH Moal – 2011 – discovery.ucl.ac.uk … symbolic representation of correct reasoning, and has percolated through almost all fields of human thought. Once translated from natural language, the structures of philosophical arguments are based in logic. The whole theory … Related articles All 4 versions
Complex Systems and the Evolution of Artificial Life and Intelligence K Mainzer – Thinking in Complexity: The Computional Dynamics of …, 2007 – Springer … The dialogue component handles the communication of expert system and user. A natural-language processor could, of course, increase acceptance even for un- trained users. … Hypothesis generators create hypotheses when faced with a new problem. … Related articles All 2 versions
Questions for the dynamicist: The use of dynamical systems theory in the philosophy of cognition M Van Leeuwen – Minds and Machines, 2005 – Springer Page 1. Questions For The Dynamicist: The Use of Dynamical Systems Theory in the Philosophy of Cognition MARCO VAN LEEUWEN Nijmegen University, Department of Philosophy, Erasmusplein 1, PO Box 9103, 6500 HD … Cited by 11 Related articles All 10 versions
An Analysis and Reasoning Framework for Project Data Software Repositories IM Attarian – 2012 – uwspace.uwaterloo.ca Page 1. An Analysis and Reasoning Framework for Project Data Software Repositories by Ioanna Maria Attarian A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master … Related articles All 3 versions
Ontology-based Model Integration for the Conceptual Design of Aircraft M Glas – 2013 – mediatum.ub.tum.de Page 1. TECHNISCHEN UNIVERSIT¨AT M¨UNCHEN Forschungs- und Lehreinheit I Angewandte Softwaretechnik Ontology-based Model Integration for the Conceptual Design of Aircraft Martin Glas Vollständiger Abdruck der … Cited by 2 Related articles All 3 versions
A Study of Chinese Named Entity and Relation Identification in a Specific Domain T Yao – 2005 – scidok.sulb.uni-saarland.de Page 1. A Study of Chinese Named Entity and Relation Identification in a Specific Domain Dissertation zur Erlangung des Grades des Doktors der Ingenieurwissenschaften (Dr. -Ing) der Naturwissenschaftlich-Technischen Fakultäten der Universität des Saarlandes … Cited by 1 Related articles All 3 versions
Detecting Hand-Ball Events in Video N Miller – 2008 – uwspace.uwaterloo.ca … into geometric shapes whose motion properties are directly measured at every in- stant. This representation is fed into a hypothesis generator that uses Newtonian mechanics to analyze the instant, assuming continuous velocity and acceleration for all objects. … Cited by 1 Related articles All 3 versions