[PDF] Top 20 Scaling a Natural Language Generation System

... in natural language genera- tion (NLG) is to enable fast generation even with large vocabularies, grammars and ...NLG system, Sentence Tree Realization with UCT ...this system: (i) ... See full document

... In this work we address two novel NLG con- straints, fixed vocabulary and fixed vocabulary with word inclusion, that are motivated by lan- guage education scenarios. We showed that un- der these constraints a highly ... See full document

... In Natural Language Generation (NLG), End- to-End (E2E) systems trained through deep learning have recently gained a strong inter- ...a Natural Language Under- standing (NLU) ... See full document

... proposed system will be very beneficial and helpful for teachers and students with their busy schedule in teaching and learning ...This system saves valuable time of students by helping them to memorize ... See full document

... Knowledge Structures for Natural Language Generation K n o w l e d g e S t r u c t u r e s f o r N a t u r a l L a n g u a g e G e n e r a t l o n ~ P a u l S J a c o b s Knowledge Based Systems Branc[.] ... See full document

... Many pictograph systems are in place. Although differences exist across pictograph sets, some fea- tures are shared among them. A pictograph of an entity (noun) can stand for one or multiple in- stances of that entity. ... See full document

... Integration of SPoT as described in Section 2 and FERGUS as described in Section 3 is not automatic. The reason is that the output of SPoT is a deep syntax tree (Mel’ˇ cuk, 1998) whereas hitherto the input of FERGUS has ... See full document

... Abstract In BBN's natural language understanding and generation system Janus, we have used a hybrid approach to representation, employing an intensional logic for the representation of t[r] ... See full document

... Natural language understanding is the core of the human computer ...for scaling to a large number of do- mains and ...web-scale language understand- ing system: Microsoft’s personal ... See full document

... for natural lan- guage human–computer interaction in general, and for dialogue systems with natural language gener- ation in ...of natural language generation systems should be ... 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

... to generation which is able to model the effect of an utter- ance on the non-linguistic context, and to inten- tionally generate utterances such as the above as part of a process of referring to ...CRISP ... 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

... Hand-written captions often radically sim- plify descriptions to express facts such as: "the third chart shows the neighborhood." However, the system-generated caption would express the [r] ... See full document

... in language make the re- sponse rather ...in natural language gen- eration (Wen et ...in natural language processing increases these models’ ca- pacity to generate sophisticated ... 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

... 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

... Abstract— Automatic Question generation is a computer program of generating questions automatically from a text. This is possible with the help of NLP (Natural Language Processing). Main challenging ... See full document

... task-based measures and textual characteristics bears on several important questions. Task-based evaluations tend to yield global scores from which it is often hard to extract specific indicators of a system’s ... 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