Kenneth W. Church

See: Information Extraction Task, Human Language Technology Center of Excellence.

References

(Dagan & Church, 1995) ⇒ Ido Dagan, and Ken Church. (1995). “Termight: Identifying and translating technical terminology.” In: Proceedings of the 7th Conference of the European Chapter of the Association for Computational Linguistics, (EACL 1995).

(Gale & Church, 1994) ⇒ William A. Gale, and Kenneth W. Church. (1994). “A Program for Aligning Sentences in Bilingual Corpora.” In: Computational Linguistics

(Gale et al., 1993) ⇒ William A. Gale, Kenneth W. Church, and David Yarowsky. (1993). “A Method for Disambiguating Word Senses in a Large Corpus.” In: Computers and the Humanities, 26.
(Gale & Church, 1993) ⇒ William A. Gale, and Kenneth W. Church. (1993). “A program for aligning sentences in bilingual corpora." Computational linguistics, 19(1).
(Dagan et al., 1993) ⇒ Ido Dagan, Kenneth W. Church, and William A. Gale. (1993). “Robust bilingual word alignment for machine aided translation.” In: Proceedings of the Workshop on Very Large Corpora.

(Gale et al., 1992) ⇒ William A. Gale, Kenneth W. Church, and David Yarowsky (1992). “One Sense per Discourse.” In: Proceedings of the DARPA Speech and Natural Language Workshop.

(Church et al., 1991) ⇒ Kenneth W. Church, William A. Gale, P. Hanks, and D. Hindle. (1991). “Using Statistics in Lexical Analysis.” In: Uri Zernik (ed.). (1991). “Lexical Acquisition: Exploiting On-Line Resources to Build a Lexicon.” Lawrence Erlbaum.

(Church & Hanks, 1990) ⇒ Kenneth W. Church, and Patrick Hanks. (1990). “Word Association Norms, Mutual Information, and Lexicography.” In: Computational Linguistics, 16(1).
- ABSTRACT: The term word association is used in a very particular sense in the psycholinguistic literature. (Generally speaking, subjects respond quicker than normal to the word nurse/ if it follows a highly associated word such as doctor.) We will extend the term to provide the basis for a statistical description of a variety of interesting linguistic phenomena, ranging from semantic relations of the doctor/nurse type (content word/content word) to lexico-syntactic co-occurrence constraints between verbs and prepositions (content word/function word). This paper will propose an objective measure based on the information theoretic notion of mutual information, for estimating word association norms from computer readable corpora. (The standard method of obtaining word association norms, testing a few thousand subjects on a few hundred words, is both costly and unreliable.) The proposed measure, the association ratio, estimates word association norms directly from computer readable corpora, making it possible to estimate norms for tens of thousands of words.

(Church et al., 1989) ⇒ Kenneth W. Church, and P. Hanks. (1989). “Word Association Norms, Mutual Information and Lexicography. In: Proceedings of the 27th Annual Conference of the Association of Computational Linguistics (ACL 1989).

(Church, 1988) ⇒ Kenneth W. Church. (1988). “A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text.” In: Proceedings of the Second Conference on Applied natural Language Processing. doi:10.3115/974235.974260
- It is well-known that part of speech depends on context. The word "table," for example, can be a verb in some contexts (eg, "He will table the motion") and a noun in others (eg, "The table is ready"). A program has been written which …