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Comparison and combination of several MeSH indexing approaches
2013
AMIA Annual Symposium Proceedings
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We find that when we combine the MTI suggestions and the prediction of the learning algorithms, the performance improves compared to any single method for most of the evaluated MeSH headings. ...
Machine learning algorithms exceed MTI's performance on MeSH headings that are used very frequently and headings for which the indexing frequency is very low. ...
Comparison and combination of several MeSH indexing approaches
Antonio Jose Jimeno Yepes, PhD1,2, James G. ...
pmid:24551371
pmcid:PMC3900212
fatcat:hjylrd4qezei5bab7melwvifjq
Why Catalan-Spanish Neural Machine Translation? Analysis, comparison and combination with standard Rule and Phrase-based technologies
2017
Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)
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In-domain manual analysis shows that neural MT tends to improve both adequacy and fluency, for example, by being able to generate more natural translations instead of literal ones, choosing to the adequate ...
A naive system combination specially works for the latter. ...
Acknowledgments The author wants to thank the anonymous reviewers for their valuable feedback which helped improving this paper. ...
doi:10.18653/v1/w17-1207
dblp:conf/vardial/Costa-Jussa17
fatcat:55jw2l42dzdmdekgxqoi2y3cya
Ordering combination for modal comparison
2015
Semantics and Linguistic Theory
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We use these tools to propose solutions to two of the puzzles and discuss how they relate to other puzzles that have been raised in the literature, and to modal semantics more generally. ...
The well-known ordering semantics for modality has recently been challenged by a number of puzzles which may cast doubt on the viability of this approach. ...
how language always works. ...
doi:10.3765/salt.v0i0.2647
fatcat:4kteu3timnerhf73r6ydnxkb24
Ordering combination for modal comparison
2012
Semantics and Linguistic Theory
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We use these tools to propose solutions to two of the puzzles and discuss how they relate to other puzzles that have been raised in the literature, and to modal semantics more generally. ...
The well-known ordering semantics for modality has recently been challenged by a number of puzzles which may cast doubt on the viability of this approach. ...
how language always works. ...
doi:10.3765/salt.v22i0.2647
fatcat:sm5xrcpvdngd3ikbhhydkvgh2q
Generative probabilistic models for multimedia retrieval: query generation against document generation
2005
IEE Proceedings - Vision Image and Signal Processing
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This paper 1 presents the use of generative probabilistic models for multimedia retrieval. ...
We estimate Gaussian mixture models to describe the visual content of images (or video) and explore different ways of using them for retrieval. ...
Lafferty and Zhai [9] start from the same basic question to show that this classical model is probabilistically equivalent to the modern language models for information retrieval [2, 3] . ...
doi:10.1049/ip-vis:20045196
fatcat:jerqz4gx6vfubam6hsgnhjqih4
A Comparison Of Combined Overlap Block Fuzzy Cognitive Maps (Cobfcm) And Combined Overlap Block Neutrosophic Cognitive Map (Cobncm) In Finding The Hidden Patterns And Indeterminacies In Psychological Causal Models: Case Study Of Adhd
2014
Zenodo
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concerns to find causalities, reviewing the literature of psychological studies one may argue that the classical statistical methods applied in order to find causalities are unable to find uncertainty and ...
,Cn } and |Si| ≠|Sj| ,if i≠ j in general. ...
Neutrosophy is a
new branch of philosophy introduced by Smarandache in 1995 as a
generalization of dialectics, which studies the origin, nature, and scope of
neutralities, as well as their interactions ...
doi:10.5281/zenodo.30144
fatcat:jq4ryxnfyndnpdfi2eudd3ucle
Comparison of pure and combined search strategies for single and multiple targets
2017
European Physical Journal B : Condensed Matter Physics
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We address the generic problem of random search for a point-like target on a line. ...
We then compare these results with a search process combined of two different long-tailed jump length distributions. Moreover, we study the case of multiple targets located by a L\'evy searcher. ...
The comparison of the strategies for different α values and µ = 1.5 for different values of the initial distance x 0 is shown in Fig. 6 . ...
doi:10.1140/epjb/e2017-80372-4
fatcat:bnlf77kicbc5hpmngrodgoulgu
Deep code comment generation
2018
Proceedings of the 26th Conference on Program Comprehension - ICPC '18
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DeepCom applies Natural Language Processing (NLP) techniques to learn from a large code corpus and generates comments from learned features. ...
We use a deep neural network that analyzes structural information of Java methods for better comments generation. ...
These studies provide principled methods for probabilistically modeling and resolving ambiguities both in natural language descriptions and in the source code. ...
doi:10.1145/3196321.3196334
dblp:conf/iwpc/HuLXLJ18
fatcat:kcbc6boulrgtpdnf4fhcu242bq
A Generative Model of Phonotactics
2017
Transactions of the Association for Computational Linguistics
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We present a probabilistic model of phonotactics, the set of well-formed phoneme sequences in a language. ...
Unlike most computational models of phonotactics (Hayes and Wilson, 2008; Goldsmith and Riggle, 2012) , we take a fully generative approach, modeling a process where forms are built up out of subparts ...
Meeting for helpful comments. ...
doi:10.1162/tacl_a_00047
fatcat:327pqlhm7bbp3hz4vs2dv6bjhu
Probabilistic Graph Reasoning for Natural Proof Generation
[article]
2021
arXiv
pre-print
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In this paper, we propose PRobr, a novel approach for joint answer prediction and proof generation. ...
PRobr defines a joint probabilistic distribution over all possible proof graphs and answers via an induced graphical model. ...
Acknowledgement The authors wish to thank the reviewers for their helpful comments and suggestions, the authors of RuleTakers for their datasets, and the authors of PROVER for providing the source code ...
arXiv:2107.02418v1
fatcat:dvuhhgxp55g7ngdatbccg5ayvq
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order
[article]
2020
arXiv
pre-print
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In this paper, we propose a probabilistic masking scheme for the masked language model, which we call probabilistically masked language model (PMLM). ...
Masked language model and autoregressive language model are two types of language models. ...
Probabilistically Masked Language Model Different masking schemes have been proposed for pretraining the masked language model. ...
arXiv:2004.11579v1
fatcat:e5c7pcielrbinnoye5gaok5u6q
A model of rapid phonotactic generalization
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
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The phonotactics of a language describes the ways in which the sounds of the language combine to form possible morphemes and words. ...
The model represents both abstract and concrete generalizations in its hypothesis space from the outset of learning. ...
Introduction Natural languages place restrictions on the ways in which sounds can combine to form words (the phonotactics of the language). ...
doi:10.18653/v1/d15-1134
dblp:conf/emnlp/LinzenO15
fatcat:ex7r4cghrrcrxgrtpw73njnybq
Rapid generalization in phonotactic learning
2017
Laboratory Phonology
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Finally, in Experiment 3 participants rapidly generalized to new sounds based on a single type of sound. We discuss the implications of our results for computational models of phonotactic learning. ...
These intuitions are often generalized to new sequences that share some properties with attested ones: participants exposed to an artificial language where all words start with the voiced stops [b] and ...
Introduction Natural languages typically place restrictions on the ways in which sounds can combine to form words. ...
doi:10.5334/labphon.44
fatcat:msljej73affw5olz7oybylkxtu
N-gram models for Text Generation in Hindi Language
2022
ITM Web of Conferences
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Hence, to make User Experience more effective while interacting with Software Applications, we aim to build a Model using Natural Language Processing which takes a specific word as an input and predicts ...
Native language plays a vital role for communication. Hindi is preferred by most Indians and it is the fifth most spoken language in the world. ...
Text generation or natural language generation produce meaningful phrases and sentences in the form of natural language. ...
doi:10.1051/itmconf/20224403062
fatcat:m6qhjk76azc7nbqiiza6gfjk6e
Question Asking as Program Generation
[article]
2017
arXiv
pre-print
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In addition, we compare a number of model variants, finding that both question informativeness and complexity are important for producing human-like questions. ...
We evaluate our approach by modeling the types of open-ended questions generated by humans who were attempting to learn about an ambiguous situation in a game. ...
Acknowledgments We thank Chris Barker, Sam Bowman, Noah Goodman, and Doug Markant for feedback and advice. ...
arXiv:1711.06351v1
fatcat:ybb2vcdoczgajieb5a24wefvqe
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