{'fraction_non_alphanumeric': 0.01921780175320297, 'fraction_numerical': 0.0033715441672285905, 'mean_word_length': 5.286016949152542, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Workshop on Monolingual Text-to-text Generation Web-based Validation for Contextual Targeted Paraphrasing an Unsupervised Alignment Algorithm for Text Simplification Corpus Construction Comparing Phrase-based and Syntax-based Paraphrase Generation Framework for Abstractive Summarization Using Text-t

Introduction The ability to perform monolingual text-to-text generation is an important step in solving many natural language processing problems. For example, when generating novel text at the sentence-level, abstractive summarization systems may need to compress sentences or fuse multiple sentences together; the evaluation of translation systems may require additional paraphrases to use as reference gold standards; and answers to questions may need to be generated automatically from extracted sentences. The community of researchers examining monolingual text-to-text generation has grown steadily in recent years, introducing the need for a focused venue to communicate results in this area. To this end, we proposed and organised this workshop at ACL with endorsement from SIGGEN. We hope that this is the first of many text-to-text generation workshops to come. We were excited to receive 18 submissions which were judged in accordance with the standard reviewing practices of the ACL 2011 main conference. As we intended that the workshop serve as a new forum for the community, our aim in the selection process was to choose high quality papers which would spark discussion amongst the participants. We selected seven long papers and four short papers. Together, they tackle a diverse range of research questions: reflecting upon the scope of what might be generated in a text-to-text process, examining new generation methods, and addressing the ever challenging issue of evaluation. We would like to thank everyone involved in the preparation of this workshop. We were very happy to receive such an enthusiastic response from the community when we proposed the workshop. We would specifically like to thank Noah Smith for his invited talk. We would also like to thank the reviewers who helped us to put together this wonderful program. Finally, we are grateful for the guidance provided by the steering committee on the direction of this workshop. We hope you find the program challenging and the resulting discussion engaging. Abstract In this paper we examine the sentence simplification problem as an English-to-English translation problem, utilizing a corpus of 137K aligned sentence pairs extracted by aligning English Wikipedia and Simple En-glish Wikipedia. This data set contains the full range of transformation operations including rewording, reordering, insertion and deletion. We introduce a new translation model for text simplification that extends a phrase-based machine translation approach to include phrasal deletion. Evaluated based on three metrics that compare against a human reference (BLEU, word-F1 and SSA) our new approach …