[PDF] Top 20 Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis

... NLDHA Corpus of English language, describing 12 action classes from real- life video scenes, observed in the manually se- lected subset of the Hollywood2 dataset which was collected from 69 Hollywood ... See full document

... to natural language descriptions of video ...objects, activities and their ...full descriptions will create a valuable resource for text based video retrieval and sum- marisation ... See full document

... addresses generation of natural language descriptions for important visual content present in video ...their activities. These features are converted into natural language ... See full document

... (e.g., scenes, objects, attributes, actions, etc) and then composing de- scriptions from scratch ...whole descriptions from visually similar images ...then language generation constructs a ... See full document

... of language statistics mined from English text corpora to bias visual ...National Corpus (BNC), ukWac and WaCkypedia ...domain” corpus: dependency parsed sentences from the human-generated, ... See full document

... the language choices made by individuals when communi- ...ural language is the focus of a large body of work in the Psychology field, and it is perhaps best summarised by the Big Five personality factors ... See full document

... the Natural Language Generation com- munity than, for example, referring expres- ...the corpus is the result of a carefully controlled elicitation experiment, in which hu- man participants ... See full document

... from human subjects for research in natural language generation and related fields, and prelim- inary results of a computational model for the generation of these ...Zoom corpus ... See full document

... a corpus of multimodal spatial descriptions, as commonly occurring in route giving ...provided natural spatial scene descriptions with speech and abstract deictic/iconic hand ...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 for ... See full document

... true natural language as a code description, resulting in code fragments and descriptions being similar and easy to ...code generation as typically done by human programmers, and may be ... See full document

... map descriptions of scenes to 3D geometric representations has many applications in areas such as art, educa- tion, and ...scene generation task has used manually specified object cate- gories and ... See full document

... current descriptions of cryptographic protocol components and operations use a different visual representation, the cryptographic protocols behaviors are not actually ... See full document

... In this paper, we demonstrate that the experimental design has a significant impact on the reliability as well as the outcomes of human evaluation studies for natural language generation. We ... See full document

... Evaluation is important in all NLP tasks. It has always been a problem in disambiguation research, as the only way to judge the performance of a disambiguator is to manually check its output. Manual checking is time ... See full document

... text-to-text generation sys- tems that produce descriptions of RDF entities, and can be automatically adapted to a new dom- ain with only a simple text ...a human evaluation that both the hybrid ... See full document

... At the same time, Z specifications contain all the information necessary to produce the tem- plates for the operations in the system, regardless of its domain of application. This information is structured according to ... See full document

... Visual language grounding and REG Founda- tional work in REG has often followed the well- known attribute selection paradigm established by (Dale and Reiter, ...visual scenes have usually been carefully ... See full document

... item in the sequence given all previous observa- tions. This corresponds to maximum-likelihood training of these models. However this one-step ahead prediction during training makes the model prone to exposure bias ... See full document

... resentation of an image (extracted by the convo- lutional neural-network described below) and pro- duce for each word an “appropriateness score”. To train for example the classifier for the word “ele- phant”, we selected ... See full document