[PDF] Top 20 Natural Language Generation from Plans

... What has happened here is that, from the point of view of making a house-building plan, the planner cannot make use of properties of a general action like 'install,' and so its represent[r] ... See full document

... operation. From prior knowledge, we know that if we have a par- tial sentence of “the sky is”, we should try actions resulting in “the sky is blue” before those result- ing in “the sky is ...heuristics from ... See full document

... near-optimal plans in large MDPs with a time complexity that is independent of the state space ...fast generation in many cases, as we demonstrate in our ... See full document

... path from the IF’s current lo- cation to the target, and generates REs using the description logic based algorithm of Areces et ...RE generation module, so that Baseline B generates only unambiguous ... See full document

... in natural language generation and it is out of our scope to model all the facets and details of direct/repetition priming in the alignment of linguistic ...results from two basic activation ... See full document

... narratives generation in text format has undergone a constant development in the last decades, in research of all the aspects related to natural ...far from showing subjective aspects like emotions ... See full document

... more natural than in the E2E challenge case, 2) there is a large amount of vari- ation in the dataset, and 3) the dataset was split in such a way that the paired set contains perfect matches between the MR and the ... See full document

... To avail good quality output text from the system, one must conform to the requirement specified in Section 3.2. The NLG system will perform accu- rately if all attributes present in the training tuple- formed ... See full document

... into generation-heavy and transfer approaches for Pictograph-to-Text transla- ...the generation-heavy approach, the words conveyed by the input pictographs will be consid- ered as a bag of ...a ... See full document

... gathered from the data has become a greater and more difficult task for human ...data from them and generates a text describing the most important ... See full document

... existing Natural Language Generation (NLG) systems can generate fluent and adaptive texts for visitors, given appropriate input data, but there is typically a large amount of expert human effort ... See full document

... Adapting MUMBLE Experience with Natural Language Generation A d a p t i n g M U M B L E E x p e r i e n c e w i t h N a t u r a l L a n g u a g e G e n e r a t i o n R o b e r t R u b i n o f f C o m[.] ... See full document

... A Framework for Lexical Selection in Natural Language Generation A ~,"e'aa~)lework ~bv L e x k a t Setecth~n h~ Natm?a~ ge~;vei Nire~tburg Ca, r ~ e g i e , M e l # m U n i v e ~ ' i ~ y /~'" ~;" N i[.] ... See full document

... The first two systems, called NLG1 and NLG2, require a corpus marked only with domainspecific semantic attributes, while the last system, called NLG3, requires a corpus marked with both [r] ... See full document

... taken from proprietary patient in- formation ...ranges from texts that try to involve the reader (high positive score) to text that try to be distant from the reader (high negative score); dimension ... See full document

... For example, in response to requests for definitions, the constituency schema is selected when the relevant knowledge pool contains a rich description of the questioned object's sub-clas[r] ... See full document

... different from Shaw and Hatzivassiloglou’s: we simply compare raw token counts and take the larger value, while they applied a significance test to es- timate the probability that a difference between counts arose ... 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

... rather than the entire SPARQL query (for the rea- son given above). We also examined the output of the SPARQL query, but not in terms of exact match to a gold standard. In practice, the queries would typically return a ... See full document

... animation from natural language texts such as movie scripts or stories was ...involved generation of fact tree based on natural query, check query for semantic correctness and generate ... See full document