Natural Language Processing (John Benjamin’s) Call for Book Proposals
John Benjamins' NATURAL LANGUAGE PROCESSING Book Series invites new book proposals to respond to the growing demand for Natural Language processing (NLP) literature. Three general types of books are considered for publication: Monographs - featuring (i) original leading cutting-edge research (the monograph could be based on an outstanding PhD thesis), or (ii) surveys of the state-of-the art of specific NLP tasks or applications. Collections – (i) books focusing on a particular NLP area (e.g. emerging from successful NLP workshops or as a result of editors’ calls for papers) or (ii) books which include papers covering a wide range of topics (e.g. emerging from competitive NLP conferences or as a result of proposals for books of the type “Reading In NLP”). Course books – (i) general NLP course books or (ii) course books on a particular key area of NLP (e.g. Speech Processing, Computational Syntax/Parsing). Authors will be encouraged to append supplementary materials such as demonstration programs, NLP software, corpora etc. and to indicate websites, computational language resources etc. where appropriate. This call invites proposals from potential authors of the types of books described above. Proposals on any topic related to Natural Language Processing are welcome. Topics The scope of the series is comprehensive ranging from theoretical Computational Linguistics topics (Computational Syntax, Computational Semantics etc.) to highly practical Language Technology topics (speech recognition, information extraction, information retrieval etc.). The series covers both written language and speech; it welcomes works covering (but not limited to) areas such as: phonology, morphology, syntax, semantics, discourse, pragmatics, dialogue, text understanding and generation, machine translation, machine-aided translation, translation aids and tools, corpus-based language processing; written and spoken natural language interfaces, knowledge acquisition, information extraction, text summarisation, text classification, computer-aided language learning, language resources. New results in NLP based on modern alternative theories and methodologies as opposed to the mainstream techniques of symbolic NLP such as analogy-based, statistical, connections as well as hybrid and multimedia approaches, will be also welcome. Advisory board The new series’ editor is Ruslan Mitkov (University of Wolverhampton) and the advisory board of the series includes: - Eduardo Blanco (University of North Texas) - Gloria Corpas (University of Malaga) - Robert Dale (Macquarie University) - Elizaveta Goncharova (National Research University) - Veronique Hoste (Veronique Hoste) - Eduard Hovy (Carnegie Mellon University) - Lori Lamel (The Computer Sciences Laboratory for Mechanics and Engineering Sciences) - Carlos Martín-Vide (Rovira i Virgili University) - Johanna Monti (University of Naples "L'Orientale" ) - Roberto Navigli (Sapienza University of Rome) - Nicolas Nicolov (AI/ML, Avalara Inc.) - Constantin Orasan (University of Surrey) - Paolo Rosso (Universitat Politècnica de València) - Raheem Sarwar (University of Wolverhampton) - Khalil Sima’an (University of Amsterdam) - Richard Sproat (Google Research) - Key-Yih Su (Institute of Information Science, Academia Sinica) The managing editor at John Benjamins is Kees Vaes (Email [email protected]). Submission of proposals Interested authors should submit proposals by email (plain text or pdf files) to the series editor: Prof. Dr. Ruslan Mitkov Email [email protected]<mailto:[email protected]> with a copy to Ms Rocío Caro Quintana ([email protected]<mailto:[email protected]>), Editorial Assistant. The proposals should include an outline of the book (1-2 pages), a preliminary table of contents, the target readership, related publications, how the book will differ from other similar books in the area (if applicable), time-scale and information about the prospective author (relevant experience in the field, publications etc.). Each proposal will be reviewed by members of the advisory board or additional reviewers. More information More information at Natural Language Processing (benjamins.com)<https://benjamins.com/catalog/nlp>.
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