[PDF] Top 20 Natural Language Generation of Museum Object Descriptions based on User Model

... the object stored in the ...decide based on the age group of the user (as obtained from the UM) how much information will be ...the user which includes username, password, name and gender are ... See full document

... our model to generate an English sentence using the following template: “Determiner (A,The) - Subject - Verb (Present, Present Continuous) - Preposition (optional) - Determiner (A,The) - Object (optional) - ... See full document

... modeling language, which is considered, is ...As natural languages such as English are informal descriptions, their translation to formal languages, such as OCL, is very ... See full document

... date natural language phrases by visually com- paring the query image to database images from the SBU Captioned Photo Collection (Ordonez et ...1) object detections for 89 common object ... See full document

... ing Natural Language Generation within a co- creative process, and examine where the co- creative setting challenges both writer and ma- ...character-level language model to generate ... See full document

... In this paper we report on tests of two internal aspects of the system 11 . First we wish to know how good the generator is at hitting a user-specified target — i.e., how close are the scores given by the ... See full document

... 3. The corresponding ordered sentences. Our system may find its use in various NLP applications like Natural Language Generation (NLG) (Reiter and Dale, 1997). NLG is a major and relatively ... See full document

... generating descriptions of videos using natural language, their major focus was on the event detection and retrieval of specific events based on user ... See full document

... ural language versions of formal specifications in the ...mechanism based on program extraction, for generating explanations of formal proofs in the Calculus of Inductive Con- structions, implemented in the ... See full document

... the language entities; specifically an event recognition approach is utilised to identify object tracks, role assignment and body posture ...Finally, generation is achieved by pre-defined tem- plates ... See full document

... abstractive model based on the neural attentive sequence-to-sequence framework which consists of two parts: a neural network for the encoder and another network for the ...the model is to maximize ... See full document

... the generation of the appropriate model. The generate model activity is composed of two ...(i) generation of BSAO tuples and (ii) translation from BSAO tuples into behavioural ...the ... See full document

... to natural language descriptions of video ...full descriptions will create a valuable resource for text based video retrieval and sum- marisation ...ural language description for ... See full document

... in natural language generation and related fields, and prelim- inary results of a computational model for the generation of these ...ral language descriptions of map ... See full document

... visual model that uses more visual representation of the real world instead of using graphs and lines for CPs ...behavioral descriptions by animating the object and behavior with the help of using ... See full document

... As a general area of study, the revision process presents interesting problems: Recognition of flaws in text requires a descriptive theory of what constitutes well written prose and a pa[r] ... See full document

... The natural language generation module is part of a larger system, which includes a question un- derstanding module, question answering and rea- soning algorithms, as well as an answer presenta- tion ... See full document

... of natural language sentences to describe different instructional steps for each video and each step is grounded both in temporal video seg- ment and spatial face areas in fine-grained ... See full document

... MADL model which was fine-tuned with parallel Rotowire data to obtain their respective German ...selected based on their similarity to Rotowire data follow- ing (Moore and Lewis, ... See full document

... is trained with a ranking loss function, with in- put tuples of the form (S, I+, I-) corresponding to a sketch, a matching image and a non-matching image. As a result, the network has a set of pa- rameters for the ... See full document