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UID:/NewsandEvents/Archives/2020/newsitem/11265/22
 ---24-February-2020-ICAART-Session-Natural-Languag
 e-Processing-in-Artificial-Intelligence-NLPinAI-20
 20-Valletta-Malta
DTSTAMP:20191031T152019
SUMMARY:ICAART Session "Natural Language Processin
 g in Artificial Intelligence" (NLPinAI 2020), Vall
 etta, Malta
DTSTART;TZID=Europe/Amsterdam:20200222T080000
DTEND;TZID=Europe/Amsterdam:20200224T210000
LOCATION:Valletta, Malta
DESCRIPTION:Computational and technological develo
 pments that incorporate natural language are proli
 ferating. Adequate coverage encounters difficult p
 roblems related to partiality, underspecification,
  and context-dependency, which are signature featu
 res of information in nature and natural languages
 . Furthermore, agents (humans or computational sys
 tems) are information conveyors, interpreters, or 
 participate as components of informational content
 . Generally, language processing depends on agents
 ' knowledge, reasoning, perspectives, and interact
 ions.  This ICAART 2020 Special Session covers the
 oretical work, applications, approaches, and techn
 iques for computational models of information and 
 its presentation by language (artificial, human, o
 r natural in other ways). The goal is to promote i
 ntelligent natural language processing and related
  models of thought, mental states, reasoning, and 
 other cognitive processes.  We invite contribution
 s relevant to the session topics.  All accepted pa
 pers will be published in a special section of the
  conference proceedings book, and be made availabl
 e at the SCITEPRESS Digital Library. We expect a p
 ost-conference, post-proceedings Special Issue wit
 h extended publications based on selected papers p
 resented at NLPinAI 2020.
X-ALT-DESC;FMTTYPE=text/html:<div>\n  <p>Computati
 onal and technological developments that incorpora
 te natural language are proliferating. Adequate co
 verage encounters difficult problems related to pa
 rtiality, underspecification, and context-dependen
 cy, which are signature features of information in
  nature and natural languages. Furthermore, agents
  (humans or computational systems) are information
  conveyors, interpreters, or participate as compon
 ents of informational content. Generally, language
  processing depends on agents' knowledge, reasonin
 g, perspectives, and interactions.</p>\n\n  <p>Thi
 s ICAART 2020 Special Session covers theoretical w
 ork, applications, approaches, and techniques for 
 computational models of information and its presen
 tation by language (artificial, human, or natural 
 in other ways). The goal is to promote intelligent
  natural language processing and related models of
  thought, mental states, reasoning, and other cogn
 itive processes.</p>\n</div><div>\n  <p>We invite 
 contributions relevant to the session topics.<br>\
 n  All accepted papers will be published in a spec
 ial section of the conference proceedings book, an
 d be made available at the SCITEPRESS Digital Libr
 ary. We expect a post-conference, post-proceedings
  Special Issue with extended publications based on
  selected papers presented at NLPinAI 2020.</p>\n<
 /div>
URL:http://www.icaart.org/NLPinAI.aspx?y=2020
CONTACT:Roussanka Loukanova at rloukanova at gmail
 .com
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