[PDF] Top 20 Issues in the choice of a source for Natural Language Generation

... suppression of redundancy in the generation of inference-rich reports." In Aspects of Automated Natural Language Generation, Springer Verlag Lecture Notes in AI, Number 587, edited by Da[r] ... See full document

... Each network is then split into subnetworks by the split network module. This partitions the net- work by locating ‘proposition’ objects (marked with a double-lined box in figure 4) which have no parent and tracing the ... See full document

... poem generation system in order to solve the problem of creating novel, grammatical sentences not tackled by the previous Finnish poem ...own choice of words in a sentence that might cause other words ... 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

... the source sentence from the hidden layer of the out- put target sentence, to ensure that the information in the source side is transformed to the target side as much as ... See full document

... via natural language are in their ...creating natural language generation (NLG) components that can produce quality output ...other issues such as integra- bility, portability, ... See full document

... (lexical choice, syntactic choice, refer- ring expression generation and aggregation) at once by treating microplanning as a search ...ing generation it tries to find an utterance which is in ... See full document

... Temporal scope: It is common to report activ- ity occurring from a starting from the current time and extending to some fixed point in the past (e.g. over the past 10 years). While this is also a fre- quent occurrence in ... See full document

... This is simply a convenient rephrasing of the Context Free Grammar formalism, and as such the systems we describe all have some equivalent CFG interpretation. Indeed, to describe a tradi- tional CFG, let C be the set of ... See full document

... [r] ... See full document

... system, issues navigation instructions by precom- puting the shortest path from the IF’s current lo- cation to the target, and generates REs using the description logic based algorithm of Areces et ...RE ... See full document

... in Natural Language Generation. Natural Language Generation is the pro- cess of transforming non-linguistic information into understandable ... See full document

... text generation system, starting with the large body of Dutch-language fiction (4000+ novels) that is at the basis of our experiments, as well as its prepro- ...our choice of architecture for ... See full document

... guage choice models for the microplanning of discourse relations in a Natural Language Generation system that attempts to generate appropriate texts for users with varying levels of ... See full document

... dialogues, Natural Language Generation (NLG) is the final and crucial step to produce user-facing system ...for natural language ... See full document

... the grammar, which is generally large, probabilis- tic and ambiguous. Some NLG techniques use sampling strategies (Knight and Hatzivassiloglou, 1995) where a set of sentences is sampled from a data structure created from ... 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

... The question of robustness is a perennial prob- lem for parsing systems. In order to be useful, a parser must be able to accept a wide range of input types, and must be able to gracefully deal with dysfluencies, false ... 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

... in natural language genera- tion (NLG) is to enable fast generation even with large vocabularies, grammars and ...median generation time of ... See full document