… Text generation takes text (eg, a sequence, keywords) as input, processes the input … of
incorporating knowledge into text generation is named as knowledge-enhanced text generation. …

… is generated based on a set of keywords. The algorithm for generating search query is
iterating through all combinations of keywords (single keywords, pairs of keywords, triplets, etc.) …

… task of generating text from keywords. The model takes as input a set of un-ordered keywords,
… The framework is based on the encode-attend-decode paradigm, where keywords and …

… text generation tasks. In our work, we focus only on the generation process of controllable text
generation … grounded text generation tasks where specific information, keywords or entities …

… quality of automatically generated text summaries and document keywords, stipulating
the need … two huge datasets for text summarization (OAGSX) and keyword generation (OAGKX) …

… for generating English text keywords. The first stage is to collect some English text data for
… This study randomly obtained some movie review text data online as the research text; The …

… the keyword extraction pipeline used in prior work on keyword-… with the generation of text
conditioned on another piece of text. … generation pipeline to conditional text generation tasks. …

… Thus, various search keywords are … keywords to search the relevant literature on "text
generation techniques in deep learning" from the selected databases. Table 3 shows the keywords …

… platform to support research on open-domain text generation models. Texygen has not only
implemented a majority of text generation models, but also covered a set of … KEYWORDS …

… keywords from a document is a core step. The key contribution of our method for keyword
extraction and headline generation … text with poor readability, we therefore employ the keyword …