[PDF] Top 20 Improving Quality and Efficiency in Plan based Neural Data to text Generation

... new plan generation mechanism, based on a trainable-yet- verifiable neural decoder, that is orders of mag- nitude faster than the original one (§3); we use knowledge of the plan ... See full document

... of text summarization has shifted towards abstrac- tive methods and quickly produced a large variety of ...methods based on the structure, semantics and deep learning with neural ...news text ... See full document

... ent text from Universal Dependencies (UD) struc- ...sentences based on the UD structure and morphological features, recent neural approaches mainly adopt neural sequence- to-sequence ... See full document

... models based on recurrent neural networks (RNNLM) have significantly improved the performance for text generation, yet the quality of generated text represented by Turing Test ... See full document

... augmented-data- generation methods, generating data according to fixed probability (mr:R) degraded the BLEU score both for Moses and the encoder-decoder ...generating data with fixed ... See full document

... we plan to ad- vance this work by exploring other more complex datasets under the database-split ...realistic text-to-SQL task which includes many complex SQL and different ... See full document

... Current neural network-based conversational models lack diversity and generate boring re- sponses to open-ended ...sponse generation, but annotating a dataset with priors is expensive and such ... See full document

... a text (Dooling and Mullet, ...long text while being integrated into the natural left-to-right reading ...are based on articles and comprise three versions for each story; elementary, inter- mediate, ... See full document

... the neural methods achieve impressive levels of output fluency, they also struggle to main- tain coherency on longer texts (Wiseman et ...generated text). When compared to template- based methods, ... See full document

... of data-to-text applications have been designed in a modular fashion, in which the non-linguistic input data (be it, say, numerical weather information or game statistics) are con- verted into ... See full document

... This section of the results focuses on the scores we have obtained while training the neural ma- chine translation system. The results in Table 2 will show the BLEU scores for translation on a held out test set ... See full document

... the quality of the handcrafted S UM - T IME system, but overestimated the quality of the automatically constructed SMT ...the quality of diverse types of systems is compared, automatic metrics such ... See full document

... The quality of care and experience of the residents are monitored and developed on an ongoing basis. Effective management systems are in place that support and promote the delivery of safe, quality care ... See full document

... scoring based on recurrent neural networks at the word ...hierarchical neural network that encodes word sequences to sentence representations, and sentence representations to essay representations, ... See full document

... In the mid- and late-1970s, public organizations were designed so as to adopt ‘tougher planning and budgeting systems’ and ‘to elevate the role of managers as agents of both efficiency and accountability’ ... See full document

... Not all QC were chosen for implementation. Those QC classified as being of a subjective evaluation type (see Chapter 3, Section 3.6.2) were excluded in the first instance. This was because, to evaluate subjective criteria ... See full document

... We report experiments on the benchmark R O - TO W IRE dataset (Wiseman et al., 2017) which contains statistics of NBA basketball games paired with human-written summaries. In addition, we create a new dataset for MLB ... See full document

... mammographic images. The algorithm is applied 21 benign, 17 malignant and 183 normal cases provided by Mammographic Image Analysis Society (MIAS) The model achieved 90.50% accuracy [11]. Multiple Instance Learning (MIL) ... See full document

... Table 4 shows that the gap between the graph encoder and the other encoders is widest for ex- amples with more than six reentrancies. The Me- teor score of the graph encoder for these cases is 3.1% higher than the one ... See full document

... GOAL ORIENTED PARSING IMPROVING THE EFFICIENCY OF NATURAL LANGUAGE ACCESS TO RELATIONAL DATA BASES GOAL ORIENTED PARSING IMPROVING THE EFFICIENCY OF NATURAL LANGUAGE ACCESS TO RELATIONAL DATA BASES Gi[.] ... See full document