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This paper introduces the Forgotten Realms Wiki (FRW) data set and domain specific natural language generation using FRW along with related analyses.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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dungeons & dragons , volume 19
Gary Gygax and Dave Arneson. 1974 · 1974
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Verb semantics and lexical selection
Zhibiao Wu and Martha Palmer. 1994 · 1994
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Semantic similarity based on corpus statistics and lexical taxonomy
Jay J. Jiang and David W. Conrath. 1997 · 1997
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Building applied natural language generation systems
Ehud Reiter and Robert Dale. 1997 · 1997
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A flexible shallow approach to text generation
Stephan Busemann and Helmut Horacek. 1998 · 1998
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Coral: Using natural language generation for navigational assistance
Robert Dale, Sabine Geldof, and Jean-Philippe Prost. 2003 · 2003
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An augmented template-based approach to text realization
Susan W McRoy, Songsak Channarukul, and Syed S Ali. 2003 · 2003
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Trainable sentence planning for complex information presentations in spoken dialog systems
Amanda Stent, Rashmi Prasad, and Marilyn Walker. 2004 · 2004
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Collective content selection for concept-to-text generation
Regina Barzilay and Mirella Lapata. 2005 · 2005
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Choosing words in computer-generated weather forecasts
Ehud Reiter, Somayajulu Sripada, Jim Hunter, Jin Yu, and Ian Davy. 2005 · 2005
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Knowledge derived from wikipedia for computing semantic relatedness
Simone Paolo Ponzetto and Michael Strube. 2007 · 2007
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Analysis of the Wikipedia category graph for NLP applications
Torsten Zesch and Iryna Gurevych. 2007 · 2007
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Analyzing and accessing wikipedia as a lexical semantic resource
Torsten Zesch, Iryna Gurevych, and Max Mühlhäuser. 2007 · 2007
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Extracting lexical semantic knowledge from Wikipedia and Wiktionary
Torsten Zesch, Christof Müller, and Iryna Gurevych. 2008 · 2008
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Learning semantic correspondences with less supervision
Percy Liang, Michael Jordan, and Dan Klein. 2009 · 2009
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Generating approximate geographic descriptions
Ross Turner, Yaji Sripada, and Ehud Reiter. 2009 · 2009
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Learning 5000 relational extractors
Raphael Hoffmann, Congle Zhang, and Daniel S. Weld. 2010 · 2010
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Extracting structured information from wikipedia articles to populate infoboxes
Dustin Lange, Christoph Böhm, and Felix Naumann. 2010 · 2010
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Open information extraction using Wikipedia
Fei Wu and Daniel S. Weld. 2010 · 2010
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A survey of nlp methods and resources for analyzing the collaborative writing process in wikipedia
Oliver Ferschke, Johannes Daxenberger, and Iryna Gurevych. 2013 · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Transforming wikipedia into a large scale multilingual concept network
Vivi Nastase and Michael Strube. 2013 · 2013
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Player’s handbook
Jeremy Crawford, James Wyatt, Robert J Schwalb, and Bruce R Cordell. 2014 · 2014
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The quality of content in open online collaboration platforms: Approaches to nlp-supported information quality management in wikipedia
Table-to-text generation by structure-aware seq2seq learning
Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, and Zhifang Sui. 2018 · 2018
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Legal Document Retrieval using Document Vector Embeddings and Deep Learning
Keet Sugathadasa, Buddhi Ayesha, et al. 2018 · 2018
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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Exploring transformer text generation for medical dataset augmentation
Ali Amin-Nejad, Julia Ive, and Sumithra Velupillai. 2020 · 2020
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Automatic text summarization: A comprehensive survey
Wafaa S El-Kassas, Cherif R Salama, Ahmed A Rafea, and Hoda K Mohamed. 2020 · 2020
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Oliver Ferschke. 2014 · 2014
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Distributed representations of sentences and documents
Quoc Le and Tomas Mikolov. 2014 · 2014
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A winning approach to text alignment for text reuse detection at pan 2014
Miguel A Sanchez-Perez, Grigori Sidorov, and Alexander F Gelbukh. 2014 · 2014
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Guangyou Zhou, Tingting He, Jun Zhao, and Po Hu. 2015 · 2015
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A matter of words: NLP for quality evaluation of Wikipedia medical articles
Vittoria Cozza, Marinella Petrocchi, and Angelo Spognardi. 2016 · 2016
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Evaluating and improving navigability of wikipedia: a comparative study of eight language editions
Daniel Lamprecht, Dimitar Dimitrov, Denis Helic, and Markus Strohmaier. 2016 · 2016
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Neural text generation from structured data with application to the biography domain
Rémi Lebret, David Grangier, and Michael Auli. 2016 · 2016
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The pile: An 800gb dataset of diverse text for language modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, et al. 2020 · 2020
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A large-scale multi-document summarization dataset from the Wikipedia current events portal
Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, and Georgiana Ifrim. 2020 · 2020
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Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts
Isanka Rajapaksha, Chanika Ruchini Mudalige, et al. 2020 · 2020
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Storytelling with dialogue: A Critical Role Dungeons and Dragons Dataset
Revanth Rameshkumar and Peter Bailey. 2020 · 2020
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GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow
Sid Black, Leo Gao, Phil Wang, Connor Leahy, and Stella Biderman. 2021 · 2021
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SciXGen: A scientific paper dataset for context-aware text generation
Hong Chen, Hiroya Takamura, and Hideki Nakayama. 2021 · 2021
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Semantic oppositeness assisted deep contextual modeling for automatic rumor detection in social networks
Nisansa de Silva and Dejing Dou. 2021 · 2021
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Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, and Marc Najork. 2021 · 2021
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Dungeons & Dragons had its biggest year ever as Covid forced the game off tables and onto the web
Sarah Whitten. 2021 · 2021
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DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization
Xueying Zhang, Yunjiang Jiang, Yue Shang, Zhaomeng Cheng, Chi Zhang, Xiaochuan Fan, Yun Xiao, and Bo Long. 2021 · 2021
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GPT-NeoX-20B: An open-source autoregressive language model
Sidney Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, Kyle McDonell, Jason Phang, Michael Pieler, Usvsn Sai Prashanth, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, and Samuel Weinbach. 2022 · 2022
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Quality at a glance: An audit of web-crawled multilingual datasets
Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Ortiz Suarez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Ballı, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, and Mofetoluwa Adeyemi. 2022 · 2022
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A survey of controllable text generation using transformer-based pre-trained language models
Hanqing Zhang, Haolin Song, Shaoyu Li, Ming Zhou, and Dawei Song. 2022 · 2022
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