• PEGASUS

  • Referenced in 3 articles [sw42120]
  • Abstractive Summarization. Recent work pre-training Transformers with self-supervised objectives on large text corpora ... tuned on downstream NLP tasks including text summarization. However, pre-training objectives tailored for abstractive ... text summarization have not been explored. Furthermore there is a lack of systematic evaluation across ... Transformer-based encoder-decoder models on massive text corpora with a new self-supervised objective...
  • fairseq

  • Referenced in 12 articles [sw30760]
  • custom models for translation, summarization, language modeling and other text generation tasks...
  • SUMMARIST

  • Referenced in 3 articles [sw26528]
  • SUMMARIST: Automated Text Summarization. Summarization is a hard problem of Natural Language Processing because ... really understand the point of a text. This requires semantic analysis, discourse processing, and inferential ... most important/topical/central topic(s) of the text, and return them to the reader. Although ... content of the original. Most automated summarization systems today produce extracts only. SUMMARIST...
  • Seq2Seq

  • Referenced in 3 articles [sw26506]
  • used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more...
  • SummEval

  • Referenced in 1 article [sw42111]
  • date studies on evaluation metrics for text summarization and the lack of consensus regarding evaluation ... extensible and unified API for evaluating summarization models across a broad range of automatic metrics ... more complete evaluation protocol for text summarization as well as advance research in developing evaluation...
  • SemPCA-summarizer

  • Referenced in 1 article [sw36836]
  • component analysis for automatic summary generation. Text summarization is the task of condensing a document...
  • MLSUM

  • Referenced in 1 article [sw42116]
  • present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains ... enable new research directions for the text summarization community. We report cross-lingual comparative analyses...
  • MASS

  • Referenced in 1 article [sw42139]
  • generation tasks, including neural machine translation, text summarization and conversational response generation (3 tasks...
  • TexLexAn

  • Referenced in 1 article [sw21435]
  • TexLexAn Analyze, Classify and Summarize any text. TexLexAn is the project of an automatic text...
  • RegulonDB

  • Referenced in 53 articles [sw25948]
  • free-living organism. This paper summarizes the improvements, new biology and new features available ... searched with the Textpresso text mining engine...
  • StudySize

  • Referenced in 1 article [sw25576]
  • presented as tables or graphs and summarized in text to be copied and pasted into...
  • MoverScore

  • Referenced in 1 article [sw42122]
  • MoverScore, on a number of text generation tasks including summarization, machine translation, image captioning...
  • textreg

  • Referenced in 1 article [sw35678]
  • package textreg: n-Gram Text Regression, aka Concise Comparative Summarization. Function for sparse regression...
  • KEA

  • Referenced in 5 articles [sw23935]
  • keyphrase extraction. Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes ... algorithm for automatically extracting keyphrases from text. Kea identifies candidate keyphrases using lexical methods, calculates...
  • GeneLibrarian

  • Referenced in 1 article [sw30046]
  • user. The summarization technique involves optimizing the text mining algorithm and Gene Ontology-based clustering...
  • MaskGAN

  • Referenced in 3 articles [sw31828]
  • models or seq2seq models. These models generate text by sampling words sequentially, with each word ... several machine translation and summarization benchmarks. These benchmarks are often defined by validation perplexity even ... measure of the quality of the generated text. Additionally, these models are typically trained...
  • GistSumm

  • Referenced in 2 articles [sw00352]
  • GistSumm (GIST SUMMarizer) is a summarization tool for Portuguese. It uses the gist ... guideline to identify and select text segments to include in the final extract. Automatically produced...
  • Texar

  • Referenced in 1 article [sw26476]
  • text generation tasks that transforms any inputs into natural language, such as machine translation, summarization ... well as foster technique sharing across different text generation tasks. We provide case studies...
  • ngram

  • Referenced in 3 articles [sw00376]
  • Ngrams, sequences of N tokens in online text. We have designed and implemented ... some general issues in Ngram analysis, and summarizes several applications where NSP has been successfully...
  • e2eXpress

  • Referenced in 1 article [sw35772]
  • mining various molecular biological databases to summarize information regarding coregulated gene clusters. In particular, this ... paper describes two new algorithms: (a) Text Mining for Gene Clusters: a statistical algorithm that...