caa a22 4500 465752306 CHVBK 20180323111837.0 cr unu---uuuuu 170327e19900601xx s 000 0 eng 10.1007/BF00393759 doi (NATIONALLICENCE)springer-10.1007/BF00393759 Zernik Uri Artificial Intelligence Program, General Electric Research and Development Center, Schenectady, N.Y., USA aut Lexical acquisition: Where is the semantics? [Elektronische Daten] [Uri Zernik] In this paper, which motivates lexical acquisition, we explain why existing lexicons are not complete and describe the impact of lexical gaps. We survey acquisition methods relative to their required resources and show that learning algorithms must be designed so that they rely on resources that are technologically available. We discuss in this light the availability and accessibility of machine-readable dictionaries and corpora. Finally we investigate the aspect of lexical semantics, addressing the question, What is the resource from which lexical semantics can be acquired? The answer is not clear because semantics is nowhere to be found explicitly. Thus, we resort to learning semantics by bootstrapping from secondary clues. Kluwer Academic Publishers, 1990 corpora nationallicence generation nationallicence lexical acquisition nationallicence lexical categories nationallicence machine readable dictionaries nationallicence Machine Translation Kluwer Academic Publishers 5/2(1990-06-01), 155-174 0922-6567 5:2<155 1990 5 10590 https://doi.org/10.1007/BF00393759 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00393759 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Zernik Uri Artificial Intelligence Program, General Electric Research and Development Center, Schenectady, N.Y., USA aut NATIONALLICENCE 773 0- Machine Translation Kluwer Academic Publishers 5/2(1990-06-01), 155-174 0922-6567 5:2<155 1990 5 10590 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer