Text-to-Image & Natural Language 2014


See also:

SceneMaker | Text-to-Image SystemsText-to-Image & Natural Language 2015


What are you talking about? text-to-image coreference C Kong, D Lin, M Bansal, R Urtasun… – Computer Vision and …, 2014 – ieeexplore.ieee.org … This is due to the inherent difficulties of both natural language processing and visual recognition, as well as the lack of datasets that contain such image descriptions linked to visual annotations (eg, segmentation … In order to do so, we need to solve the text to image alignment … Cited by 16 Related articles All 14 versions

Deep visual-semantic alignments for generating image descriptions A Karpathy, L Fei-Fei – arXiv preprint arXiv:1412.2306, 2014 – arxiv.org … Figure 1. Our model generates free-form natural language descrip- tions of image regions. … Grounding natural language in images. A number of ap- proaches have been developed for grounding textual data in the visual domain. Kong et al. … Cited by 116 Related articles All 8 versions

Deep captioning with multimodal recurrent neural networks (m-rnn) J Mao, W Xu, Y Yang, J Wang, A Yuille – arXiv preprint arXiv:1412.6632, 2014 – arxiv.org … For natural language, the Recurrent Neural Network (RNN) shows the state-of-the-art per- formance in many tasks, such as speech recognition and word … Sentence Retrival (Image to Text) Image Retrival (Text to Image) R@1 R@5 R@10 Med r R@1 R@5 R@10 Med r … Cited by 45 Related articles All 9 versions

Semantic parsing for text to 3d scene generation AX Chang, M Savva, CD Manning – ACL 2014, 2014 – anthology.aclweb.org … This is similar to most previous work on text to scene gen- eration (Winograd, 1972; Coyne and Sproat, 2001) and limits handling of natural language. More re- cently,(Zitnick et al., 2013) used data to learn how to ground sentences to a CRF representing 2D cli- part scenes. … Cited by 4 Related articles All 10 versions

Explain images with multimodal recurrent neural networks J Mao, W Xu, Y Yang, J Wang, AL Yuille – arXiv preprint arXiv:1410.1090, 2014 – arxiv.org … 3 Model Architecture 3.1 Simple recurrent neural network We briefly introduce the simple Recurrent Neural Network (RNN) or Elman network [4] that is widely used for many natural language processing tasks, such as speech recognition [22, 23]. … (b) Text to Image Curve … Cited by 23 Related articles All 5 versions

A neural network for factoid question answering over paragraphs M Iyyer, J Boyd-Graber, L Claudino… – … in Natural Language …, 2014 – cs.colorado.edu … We describe a task with high-quality mappings from natural language text to entities in Section 2. This task—quiz bowl—is a challenging … This method cannot be ap- plied to the multimodal text-to-image mapping problem because text captions by definition are made up of words … Cited by 29 Related articles All 14 versions

Visual semantic search: Retrieving videos via complex textual queries D Lin, S Fidler, C Kong… – Computer Vision and …, 2014 – ieeexplore.ieee.org … TTI Chicago 1 University of Toronto 2 Tsinghua University 3 dhlin@ttic.edu, kc10@mails.tsinghua.edu.cn, {fidler,urtasun}@cs.toronto.edu Abstract In this paper, we tackle the problem of retrieving videos using complex natural language queries. … Cited by 15 Related articles All 14 versions

T2V: New Technology of Converting Text to CG Animation M Hayashi, S Inoue, M Douke, N Hamaguchi… – ITE Transactions on …, 2014 – jlc.jst.go.jp … and D. Zeltzer (Eds.), 51-93, Cambridge, MA: MIT Press (1991) 7) B. Coyne and R. Sproat: “WordsEye: An Automatic Text-to-Scene Conversion System”, SIGGRAPH 2001 Conference Proceedings, pp.487-496 (2001) 8) M. Ma: “Automatic conversion of natural language to 3D … Cited by 5 Related articles All 3 versions

Linking people in videos with “their” names using coreference resolution V Ramanathan, A Joulin, P Liang, L Fei-Fei – Computer Vision–ECCV …, 2014 – Springer … Abstract. Natural language descriptions of videos provide a potentially rich and vast source of supervision. … For example, videos of TV episodes have associated screenplay scripts, which contain natural language descriptions of the videos (Fig. … Cited by 12 Related articles All 7 versions

A multi-world approach to question answering about real-world scenes based on uncertain input M Malinowski, M Fritz – Advances in Neural Information Processing …, 2014 – papers.nips.cc … mpi-inf.mpg.de Abstract We propose a method for automatically answering questions about images by bringing together recent advances from natural language processing and computer vision. We combine discrete reasoning … Cited by 15 Related articles All 8 versions

On the role of correlation and abstraction in cross-modal multimedia retrieval J Costa Pereira, E Coviello, G Doyle… – Pattern Analysis and …, 2014 – ieeexplore.ieee.org Page 1. On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval Jose Costa Pereira, Student Member, IEEE, Emanuele Coviello, Gabriel Doyle, Nikhil Rasiwasia, Member, IEEE, Gert RG Lanckriet, Senior … Cited by 26 Related articles All 12 versions

Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation B Klein, G Lev, G Sadeh, L Wolf – arXiv preprint arXiv:1411.7399, 2014 – arxiv.org … Text to image matching is done using the Canoni- cal Correlations Analysis algorithm [11]. This combination of methods proves to be extremely potent. … Karpathy and Fei Fei [14] present a model that generates free-form natural language descriptions of image regions. … Cited by 6 Related articles All 2 versions

Intelligent healthcare applications S Seifert, M Hammon, M Petri, H Oberkampf… – Towards the Internet of …, 2014 – Springer … is not well accepted by clinicians yet, due to higher efforts to deal with forms in comparison with conventional natural language reporting. … extracted from images, texts and other data sources together in one place, intelligent applications, such as the text- to-image linking, can … Cited by 3 Related articles All 3 versions

Controlled natural language generation from a multilingual FrameNet-based grammar D Dannélls, N Gruzitis – Controlled Natural Language, 2014 – Springer … The Painting grammar is a part of a large scale Natural Language Generation (NLG) grammar developed for the cultural heritage (CH) domain in … The grounding of NLG using the frame semantics theory has been addressed in the work on text-to-scene generation [15] and in the … Cited by 3 Related articles All 8 versions

Interactive Learning of Spatial Knowledge for Text to 3D Scene Generation AX Chang, M Savva, CD Manning – Sponsor: Idibon, 2014 – aclweb.org … systems. 15 Page 26. 3 Approach Overview What should an interactive text to scene system look like from the perspective of a user? The user should be able to provide a brief scene description in natural language as input. The … Cited by 2 Related articles All 12 versions

Contextual Semantic Parsing using Crowdsourced Spatial Descriptions K Dukes – arXiv preprint arXiv:1405.0145, 2014 – arxiv.org … 23-24). Bob Coyne, Owen Rambow, et al. (2010). Frame Semantics in Text-to-Scene Generation. … LOGICON: A System for Extract- ing Semantic Structure using Partial Parsing. In- ternational Conference on Recent Advances in Natural Language Processing (RANLP). … Cited by 2 Related articles All 2 versions

Learning spatial knowledge for text to 3D scene generation AX Chang, M Savva, CD Manning – 2014 – jan.stanford.edu … Figure 1 illustrates some of the inference challenges in generating 3D scenes from natural language: the desk was not explicitly mentioned in the input … We define text-to-scene generation as the task of taking text that describes a scene as input, and gen- erating a plausible 3D … Cited by 7 Related articles All 8 versions

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation M Malinowski, M Fritz – arXiv preprint arXiv:1411.5190, 2014 – arxiv.org … As we aim at building machines that “understand” and act upon our intention expressed in natural language, we need to also take care of learning spatial concepts from human data so that both – machine and human – refer to a common apprehension of spatial concepts that … Cited by 2 Related articles All 6 versions

Towards animated visualization of actors and actions in a learning environment O Kolomiyets, MF Moens – Methodologies and Intelligent Systems for …, 2014 – Springer … Keywords: Natural language processing and understanding, semantic analysis, text-to-scene translation, visualization. 1 Introduction Ongoing developments in the digital world poses a number of challenges. One of them is the increasing degree of text complexity. … Cited by 1 Related articles All 5 versions

Joint Navigation in Commander/Robot Teams: Dialog & Task Performance When Vision is Bandwidth-Limited D Summers-Stay, T Cassidy, CR Voss – V&L Net 2014, 2014 – aclweb.org … The second is “text to scene”: given natural language instructions, how do people move about in new locations, and how does that impact their expectations of robot navigation? These issues span both generation and understanding of spatial language. … Cited by 2 Related articles All 5 versions

Automated Measures of Specific Vocabulary Knowledge from Constructed Responses (“Use These Words to Write a Sentence Based on this Picture”) S Somasundaran, M Chodorow – Proceedings of the Ninth Workshop on …, 2014 – aclweb.org … Coyne and Sproat (2001) developed a natural language understand- ing system which converts English text into three- dimensional scenes that represent the text. … Bob Coyne and Richard Sproat. 2001. Wordseye: an automatic text-to-scene conversion system. In Pro- Cited by 3 Related articles All 9 versions

Storyboard augmentation of process model grammars for stakeholder communication K Nardella, RA Brown, S Kriglstein – IVAPP 2014: Proceedings of …, 2014 – eprints.qut.edu.au … For each model, the interpretation of the workflow, using natural language processing, aided by a world knowledge base, was successfully per- formed. … Coyne, B. and Sproat, R. (2001). WordsEye: an automatic text-to-scene conversion system. In Proc. of the 28th Annual Conf. … Cited by 2 Related articles All 2 versions

Documenting endangered languages with the wordseye linguistics tool M Ulinski, A Balakrishnan, D Bauer, B Coyne… – ACL …, 2014 – anthology.aclweb.org … S. Bird. 2009. Natural language processing and linguistic fieldwork. Computational Linguistics, 35 (3): 469–474. Cheryl A Black and H Andrew Black. 2009. … IAD Press. B. Coyne and R. Sproat. 2001. WordsEye: An au- tomatic text-to-scene conversion system. In SIG- GRAPH. … Cited by 3 Related articles All 9 versions

Towards a Visual Turing Challenge M Malinowski, M Fritz – arXiv preprint arXiv:1410.8027, 2014 – arxiv.org … In: ICML. (2012) [15] Krishnamurthy, J., Kollar, T.: Jointly learning to parse and perceive: Connecting natural language to the physical world. TACL (2013) [16] Kong, C., Lin, D., Bansal, M., Urtasun, R., Fidler, S.: What are you talking about? text-to-image coreference. In: CVPR. … Cited by 3 Related articles All 4 versions

Bilateral correspondence model for words-and-pictures association in multimedia-rich microblogs Z Wang, P Cui, L Xie, W Zhu, Y Rui… – ACM Transactions on …, 2014 – dl.acm.org … In microblogs, however, the scale of words can reach the entire natural language vocabulary, and even nouns that include both objects … model, called Bilateral Correspon- dence Latent Dirichlet Allocation (BC-LDA), where both image-to-text and text-to-image correspon- dences … Cited by 3 Related articles

Hybrid heterogeneous transfer learning through deep learning JT Zhou, SJ Pan, IW Tsang, Y Yan – Twenty-Eighth AAAI Conference on …, 2014 – ntu.edu.sg … For instance, many Natural Language Processing (NLP) tasks, such as named entity recognition, coreference resolution, etc., highly rely on a lot of … 2013), where knowledge is trans- ferred from text to image based on a lot of text-image corre- spondences through deep learning. … Cited by 3 Related articles All 5 versions

Mixed-transfer: transfer learning over mixed graphs B Tan, E Zhong, MK Ng, Q Yang – Proceedings of SIAM International …, 2014 – cse.ust.hk … For example, annotated images can be used to build feature mapping from words to image features, and then ap- plied on text-to-image knowledge transfer. … Page 2. Figure 1: An example of text-to-image heterogeneous transfer learning. … Cited by 4 Related articles

Text to Multi-level MindMaps: A New Way for Interactive Visualization and Summarization of Natural Language Text M Elhoseiny, A Elgammal – arXiv preprint arXiv:1408.1031, 2014 – arxiv.org … Text to Multi-level MindMaps A New Way for Interactive Visualization and Summarization of Natural Language Text Mohamed Elhoseiny · Ahmed Elgammal … Unfortunately, there is no re- liable automated approach that can generate MindMaps from Natural Language text. … Related articles All 2 versions

Graphic Model Modification Structure Expressed by Natural Language Text SW Ryu, KS Lee, SR Park, HB Kim – ??????? ICCC …, 2014 – dev02.dbpia.co.kr … An automatic text-to-scene conversion system,” In Proc. of SIGGRAPH, pp. 487.496, 2001. [2] Dupuy, Sylvain, Arjan Egges, Vincent Legendre, and Pierre Nugues, “Generating a 3D Simulation of a Car Accident from a Written Description in Natural Language: the CarSim System … Related articles All 2 versions

StorVi (Story Visualization): A Text-to-Image Conversion KD Alcantara, JP Calandria, JS Calupas… – International Journal of …, 2014 – ijfcc.org … “SceneMaker: Multimodal Visualisation of Natural Language Film Scripts”, University of Ulster, Magee Derry/Londonderry BT48 7JL, Northern Ireland, None. [7] B. Coyne, R. Sproat, and J. Hirschberg, Spatial Relations in Text-to-Scene Conversion, Columbia University, New … Related articles All 2 versions

Scene layout in text-to-scene conversion F Yang, Y Zhou, X Luo – Systems and Informatics (ICSAI), 2014 …, 2014 – ieeexplore.ieee.org … Keywords-Keywords: text-to-scene; visualization; scene layout; natural language processing I. INTRODUCTION … attention. And the text-to-scene conversion is just a process that generate 3D scenes from text natural language input automatically. The … Related articles

Agent script generation using descriptive text documents T Balint, Y Gingold, JM Allbeck – Proceedings of the Seventh …, 2014 – dl.acm.org … agent behaviors using natural language in- structions. In Proceedings of the fourth international conference on Autonomous agents, ACM, New York, NY, USA, AGENTS ’00, 293–300. COYNE, B., AND SPROAT, R. 2001. Wordseye: An automatic text- to-scene conversion system … Related articles All 2 versions

Using Frame Semantics in Natural Language Processing A Agarwal, D Bauer, O Rambow – ACL 2014, 2014 – anthology.aclweb.org … 2013b. Sinnet: Social interaction network ex- tractor from text. In Sixth International Joint Conference on Natural Language Processing, page 33. … Bob Coyne and Richard Sproat. 2001. Wordseye: an au- tomatic text-to-scene conversion system. … Related articles All 8 versions

Text to Multi-level MindMaps: A Novel Method for Hierarchical Visual Abstraction of Natural Language Text M Elhoseiny, A Elgammal – ArXiv e-prints, 2014 – researchgate.net Page 1. Noname manuscript No. (will be inserted by the editor) Text to Multi-level MindMaps: A Novel Method for Hierarchical Visual Abstraction of Natural Language Text … Unfortunately, there is no reliable automated approach to generate MindMaps from Natural Language text. … Related articles

Interactive book cover design based on language resources KS Lee, SR Park, HB Kim, YK Kim – ??????? ICCC ???, 2014 – dev02.dbpia.co.kr … [1] B. Coyne and R. Sproat, “WordsEye: An automatic text-to-scene conversion system”, In … generation System for Fairytales”, Proceedings of the International Conference on Convergence Content, 2013 [4] A. Deshkar, A. Dhole and P. Vyas, “Natural language words analysis for … Related articles All 2 versions

Vishit: A Visualizer for Hindi Text P Jain, H Darbari, VC Bhavsar – Communication Systems and …, 2014 – ieeexplore.ieee.org … from a written description in natural language: The carsim system. Proceedings of ACL Workshop on Temporal and Spatial Information Processing, pp. 1-8, 2001. [4] Glass, K. and Bangay, S. Evaluating parts-of-speech taggers for use in a text-to-scene conversion system. … Related articles All 2 versions

Identifying and inferring objects from textual descriptions of scenes from books A Cropper – 2014 Imperial College Computing Student Workshop, 2014 – drops.dagstuhl.de … 1998 ACM Subject Classification I. 2.10 Vision and Scene Understanding, I. 2.6 Learning, I. 2.7 Natural Language Processing Keywords and phrases Text-to-Scene Conversion, Natural Language Processing, Artificial Intel- ligence Digital Object Identifier 10.4230/OASIcs. … Related articles All 4 versions

Imagistic Modeling in Story Understanding E Bigelow, D Scarafoni, L Schubert, A Wilson – csug.rochester.edu … Kadir et al. (2011) use Blender as their basis for modeling scenes from natural language input, utilizing similar methods to object placement as ours. WordsEye is a powerful text-to-scene conversion system ca- pable of modeling complex visual scenes based on layers of spatial … Related articles All 3 versions

WELT: Using Graphics Generation in Linguistic Fieldwork M Ulinski, A Balakrishnan, D Bauer, B Coyne… – ACL 2014, 2014 – aclweb.org … in PAWS. 3 WordsEye Text-to-Scene System WordsEye (Coyne and Sproat, 2001) is a system for automatically converting natural language text into 3D scenes representing the meaning of that text. WordsEye supports language … Related articles All 10 versions

Intelligent User Interactive Model For Real Time Text-Graphic Generation. S DEEPA, P KUMAR – Journal of Theoretical and Applied Information …, 2014 – jatit.org … Keywords: Text to Scene, Story Visualization, Graphic representation, Hybrid Object Properties 1. INTRODUCTION … There is a certain magic in seeing one’s words turned into pictures. Text-to-scene conversion systems (TTSCS) aim to give imaginations to computers. … Related articles All 2 versions

A Song–Author Relationship Extractor for Vietnamese news articles HDTN Hoai-Duc Tuan-Nguyen… – Ta?p chi? Khoa ho?c va? …, 2014 – vjol.info … Relationship extraction is one of the most important tasks of Natural Language Processing. … Semantic relations are useful for many further processes, such as Ontology construction [10, 11], Q – A system tasks [14, 15], Text-to-Scene conversion [6], and recognizing genes as … Related articles All 3 versions

3D Scene Retrieval from Text with Semantic Parsing W Monroe – cs229.stanford.edu … However, relatively little work has looked at identifying 3D scenes from natural language de- scriptions. … More recently, Chang et al. (2014) built a system for text-to-scene generation which can learn scene synthesis from a database of human-built scenes (Fisher et al., 2012 … Related articles

Learning a mid-level feature space for cross-media regularization Y Wei, Y Zhao, Z Zhu, Y Xiao… – Multimedia and Expo ( …, 2014 – ieeexplore.ieee.org … In addition, the problem of transferring knowledge from text to image is also studied in [7, 8] to improve the performance of image classification. … For textual information, we firstly obtain the feature vectors based on 500 tokens through Natural Language Toolkit (NLTK) [18]. … Cited by 1 Related articles All 4 versions

A Systematic Approach for News Caption Generation P Sumi, FYMT Cse – Citeseer … We are not using any dictionaries to provide text to image relation. … For example P. Hede, PA Moellic, J. Bourgeoys, M. Joint, and C. Thomas [3] has described usually to represent images of objects in some natural language or in a human readable form image annotation system …

SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands K Dukes – SemEval 2014, 2014 – aclweb.org … Language Workshop (pp. 306- 311). San Mateo, California. Ann Copestake, et al. 2005. Minimal Recursion Se- mantics: An Introduction. Research on Language and Computation, 3 (2)(pp. 281-332). Bob Coyne, Owen Rambow, et al. 2010. Frame Se- mantics in Text-to-Scene … Related articles All 9 versions

A multimodal interpreter for 3D visualization and animation of verbal concepts C Claude-Lachenaud, É Charton, B Ozell, M Gagnon – lrec-conf.org … Bateman, JA, Hois, Joana, Ross, Robert, and Tenbrink, Thora. (2010). A linguistic ontology of space for natural language processing. Artificial Intelligence, jun. … In Mog 2010, Dublin. Coyne, B. and Sproat, R. (2001). Wordseye: An automatic text-to-scene conversion system. … Related articles

Generating Simulations of Motion Events from Verbal Descriptions J Pustejovsky, N Krishnaswamy – Lexical and Computational …, 2014 – anthology.aclweb.org … We intend to expand the parsing pipeline to include all the steps described in this paper: taking input as a simple natural language sentence, tagging and parsing it to extract the constituent parts of a pred- icate/argument … Wordseye: an automatic text-to-scene conversion system … Related articles All 7 versions

Designing a press and swipe type single layered Bangla soft keyboard for Android devices K Islam, B Sarker – Computer and Information Technology ( …, 2014 – ieeexplore.ieee.org … There have been many endeavors made to design soft and hard Bangla keyboard based on data mining [4], finger and character frequency [5], Text-to- image replacement [3]. There are also some other remarkable researches on this field. … Related articles

A Language Visualization System E Unal – 2014 – denizyuret.com … system that can generate static 3D scenes from full natural language sentences by understanding some concrete nouns, visualizable adjectives and spatial prepositions. In addition to the text-to-scene conversion engine, our system includes a question … Related articles All 3 versions

Procedural Content Generation in Educational Game Authoring Tools F Mehm, A Hendrich, D Kauth, S Göbel… – … on Games Based …, 2014 – books.google.com … For example, the WordsEye system uses a description in natural language to generate an image, resulting in a very low threshold for … Coyne, B. and Sproat, R.(2001)“WordsEye: an automatic text?to?scene conversion system.” In Proceedings of the 28th annual conference on … Related articles All 2 versions

Chat with illustration Y Jiang, J Liu, H Lu – Multimedia Systems, 2014 – Springer … Words-to-picture conversion cannot delivery meaning of a sentence, and text-to-scene conversion works only for descriptive sentences of collated objects. While our proposed CWI is a chat system, which is under a more complex and general natural language con- dition and … Related articles

Case-Based Object Placement Planning K Gillespie, KM Gupta, M Drinkwater – Case-Based Reasoning Research …, 2014 – Springer … an automatic text-to-scene conversion system. In: 28th Annual Conference on Computer Graphics, pp. 487–496 (2001) 2. Herskovits, A.: Language and Spatial Cognition: An Interdisciplinary Study of the Prepositions in English. Studies in Natural Language Processing. … Related articles All 4 versions

Human-robot collaborative scene mapping from relational descriptions ER Carrión, A Sanfeliu – ROBOT2013: First Iberian Robotics Conference, 2014 – Springer … of these relations. In [2] Stopp et Al. use a computational model of the topological (near) and projective (front, behind, left, right, above, bellow) relations for accessing to a robotic arm through natural language. Their model [3 … Related articles All 6 versions

The Potential of a Text-Based Interface as a Design Medium: An Experiment in a Computer Animation Environment S Lee, J Yan – Interacting with Computers, 2014 – iwc.oxfordjournals.org … Our experiment in a computer animation environment shows that (i) participants did feel a high level of control of characters, (ii) creativity was both restricted and facilitated depending on the task and (iii) natural language expedited the learning of a new interface language. … Related articles

Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-rich Microblogs Y RUI – media.cs.tsinghua.edu.cn … In microblogs, however, the scale of words can reach the entire natural language vocabulary, and even nouns that include both objects … model, called Bilateral Correspon- dence Latent Dirichlet Allocation (BC-LDA) where both image-to-text and text-to-image correspon- dences … Related articles All 2 versions

3D Reasoning in Natural Language Processing DJ Scarafoni – 2014 – csug.rochester.edu Page 1. 3D Reasoning in Natural Language Processing by Daniel J. Scarafoni … soning in spatial environments is an intuitive and important part of artificial intelligence. Dr. Lenhart Schubert’s Epilog project is a natural language processing venture which … Related articles All 3 versions

A Hybrid Digital-Signature and Zero-Watermarking Approach for Authentication and Protection of Sensitive Electronic Documents O Tayan, MN Kabir, YM Alginahi – The Scientific World Journal, 2014 – hindawi.com … of text-watermarking shifting codes include line-shift coding, word-shift coding, and feature/character coding, whilst natural-language watermarking involves … CS character stream and converts the embedded data into a watermark image, , (using a text-to-image convertor) … Cited by 2 Related articles All 12 versions

TINA: Cross-modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation Y Hua, S Wang, S Liu, Q Huang… – Data Mining (ICDM), …, 2014 – ieeexplore.ieee.org … The learned local projections are endowed with better adaptation to complicated semantic relations. B. Modeling Semantic Hierarchy Semantic hierarchy [11] is a formally defined taxonomy or ontology structure in natural language processing. … Cited by 1 Related articles All 4 versions

Research and Development on Automatic Information Organization and Subject Analysis in Recent Decades. YH Tseng – Journal of Educational Media & Library Sciences, 2014 – search.ebscohost.com Page 1. ?????????51 :??(2014): 3-26 DOI: 10.6120/J?EMLS .2014.51S/0652 .RV. AM mm ???????????? ??????????? ?? ??? ???????????????????????????? … Related articles All 2 versions

Multimodal Transfer Deep Learning for Audio Visual Recognition S Moon, S Kim, H Wang – arXiv preprint arXiv:1412.3121, 2014 – arxiv.org … For instance, Huiskes et al. (2010) showed that using natural language captions or tags in addition to their corresponding standard low-level image features significantly improves … We use c = 96 and t = 4 as it is done in Gong et al. (2014) for text to image embedding tasks. … Related articles All 2 versions

Web-based Multiuser 3D Room Layout System Using Interactive Evolutionary Computation with Conjoint Analysis R Akase, Y Okada – Proceedings of the 7th International Symposium on …, 2014 – dl.acm.org … Prolog. Similarly, Coyne et al. developed WordsEye that gen- erates 3D scenes using the natural language [5]. Words- Eye parses several sentences to extract the object infor- mation and tags the corresponding label. Also, Word … Cited by 1 Related articles

Event structures in knowledge, pictures and text M Regneri – 2014 – scidok.sulb.uni-saarland.de … 3 1.2 Scripts and Natural Language Processing . . . . . 7 … In this first chapter, we will first explain how standardized event-knowledge is pervasive in language, and why it is thus essential for full-scale natural language pro- cessing. … Related articles All 3 versions

Who wrote this scientific text? C Labbé, D Labbé – hal.archives-ouvertes.fr Page 1. Who wrote this scientific text? Cyril Labbé, Dominique Labbé To cite this version: Cyril Labbé, Dominique Labbé. Who wrote this scientific text?. 2014. HAL Id: hal-01064110 https://hal.archives-ouvertes.fr/hal-01064110 Submitted on 15 Sep 2014 … Related articles All 10 versions

A Maximum Entropy Based Data-Driven Synthetic Image and 3D Scene Generation MA Dema – 2014 – repositories.tdl.org Page 1. A Maximum Entropy Based Data-Driven Synthetic Image and 3D Scene Generation By Mesfin Adane Dema, M. Sc. A Dissertation In Electrical and Computer Engineering Department Submitted to the Graduate Faculty … Related articles

Foundations and Trends in Signal Processing L Deng, Y Dong – Signal Processing, 2014 – research.microsoft.com … For example, the deep-structured CRF, which stacks many layers of CRFs, have been usefully applied to the task of language identification [429], phone recognition [410], sequential labeling in natural language processing [428], and confi- dence calibration in speech … Cited by 3 Related articles All 12 versions