text-to-text generation problem
AMR to text generation as a Traveling Salesman Problem
... for generation are the result of applying an MCMC pro- cedure to learn a set of likely phrase-fragment pairs from the forests containing all possible ...do text-to-AMR parsing, which often involves discard- ...
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Towards Developing Generation Algorithms for Text to Text Applications
... The problem with this al- gorithm, however, is that the premature unfolding of the IDL-graph into a finite-state acceptor destroys the representation compactness of the IDL repre- ...
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Sentence Fusion for Multidocument News Summarization
... novel text-to-text gen- eration technique which, given a set of similar sentences, produces a new sentence containing the information common to most sentences in the ...alignment problem poses unique ...
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Text Categorization as a Graph Classification Problem
... Consider the set of all subgraphs in the collec- tion of graphs, which corresponds to the set of all potential features. Note that there may be overlap- ping (subgraphs sharing nodes/edges) and redun- dant (subgraphs ...
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A Problem Solving Approach to Generating Text From Systemic Grammars
... The text generation approach described here is simply the standard AI knowledge-based problem solving metho- dology, with a systemic grammar acting as Dart of the knowledge base... One o[r] ...
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The Secret’s in the Word Order: Text to Text Generation for Linguistic Steganography
... the problem of low embedding capacity in the existing linguistic stegosystems compared with other steganography systems using images or audios as the cover ...
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Enhanced Transformer Model for Data to Text Generation
... data-to-text generation approaches perform the summary generation in two separate steps: content selection and surface ...classification problem which allows the system to capture contextual ...
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THE "POWER" OF TEXT PRODUCTION ACTIVITY IN COLLABORATIVE MODELING : NINE RECOMMENDATIONS TO MAKE A COMPUTER SUPPORTED SITUATION WORK
... and problem solving processes ...written text, leads to modification and even growth of that knowledge (Eigler, Jechle, Merziger and Winter, 1991; Galbraith, 1996, 1999; Alamargot, Favart and Galbraith, ...
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Operation guided Neural Networks for High Fidelity Data To Text Generation
... Data-to-text generation is a classic language gen- eration task that takes structured data ...data-to-text generation system should pay at- tention to the problem of content selection ...
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Improving Language Generation from Feature Rich Tree Structured Data with Relational Graph Convolutional Encoders
... The goal in the Multilingual Surface Realization Shared Task 2019 (MSR’19) is to generate flu- ent text from Universal Dependencies (UD) struc- tures. The task makes available UD-annotated resources in 11 ...
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Image Encryption Technique Based on Visual Cryptography
... Visual cryptography scheme eliminates complex computation problem in decryption process, and the secret images can be restored by stacking operation. This property makes visual cryptography especially useful for ...
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Data to text Generation with Entity Modeling
... The results of the ablation study are shown in Table 3. We compare ED+CC against vari- ants “+Hier”, “+Dyn” and “+Gate” corresponding to successively adding hierarchical attention, dy- namic memory, and the update gate ...
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Unsupervised Hierarchical Story Infilling
... Story infilling involves predicting words to go into a missing span from a story. This chal- lenging task has the potential to transform in- teractive tools for creative writing. However, state-of-the-art conditional ...
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Outsourced Pattern Matching
... the text, otherwise the communication complexity between the server and receiver REC would be ...the text. More precisely, the server learns that for some text positions repetitions ...the ...
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An Integrated Tool for Annotating Historical Corpora
... E-Dictor is a tool for encoding, applying levels of editions, and assigning part-of- speech tags to ancient texts. In short, it works as a WYSIWYG interface to en- code text in XML format. It comes from the ...
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Discourse Structures for Text Generation
... The schemas do not constrain the order of nucleus or satellites in the text span in which the schema is instantiated.. All satellites are optional.[r] ...
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Text Generation for Strategic Computing
... Text Generation for Strategic Computing Text G e n e r a t i o n for Strategic Computing USC/Information Sciences Institute Marina del Rey, CA 90292 Project Leaders William Mann & Norman Sondheimer Pr[.] ...
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Text Generation from Keywords
... surface text. While we can- not use their rules to generate candidate-text sentences when given keywords, we can apply their language model to our system to generate surface-text sentences from ...
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Pragmatically Informative Text Generation
... Meaning Representations We construct L R for the meaning representation generation task as a multi-task, multi-class classifier, defining a dis- tribution over possible values for each attribute. Each MR attribute ...
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Online Full Text
... Annotation contains several steps, grabbing URL from which the threads will be extracted, author/commenter name, time of post, subject of post, text of post, number of comments and the information associated with ...
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