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Unit 11: Natural Language Processing




               is “the most important element”. An important question, which complicates the picture, is  Notes
               then: important for whom/what? I.e. important to e.g. the speaker, the listener, the global
               message or the local utterance? Thus, focus is a concept simple to understand, but it is
               hopelessly difficult to pin down exactly. In this paper the term is used in the meaning
               salience or focus of attention. If it is used in some other meaning, this is indicated in the
               text. For a survey of the different uses of the term focus, see Gundel (1995). The feature
               focus  is  connected  to cognitive  processing,  memory  representation and  linguistic
               representation, in that a more activated/Given/accessible concept is represented by a
               more reduced linguistic sign (Ariel, 1990, Gundel, Hedberg & Zacharski, 1993). Of course
               focus is also connected to the syntax of the utterance and the semantics (e.g. Sidner, 1983)
               as well as  the prosody (Bruce, 1998,  van Donzel,  1999). Van  Donzel made  extensive
               investigations on basis of Princes (1983) Given – New taxonomy, and her findings confirms
               the picture that Given elements are also acoustically more reduced than New elements.
               Thus, the intonation plays a great part for the information structure in spoken language,
               however, it is also possible to do without it, as in written language. Ability to  predict
               focus should improve the assignment of prosodic features in speech synthesis, however,
               the task seems to be very difficult, (if not impossible) Bolinger (1972), and the result in
               synthesis are also today limited.  Focality is further an often used feature in anaphora
               resolution.
          2.   Anaphora Resolution: Very closely connected to the research on  focus and also to the
               research on discourse coherence is  the research on anaphora resolution. This because
               anaphora is affected by focality and further context dependent. This means that anaphoric
               expressions are representing referents in focus, and they are at the same time establishing
               links back to the preceding context (the antecedent).
               Traditionally, the concept of anaphora was limited to co-referent NPs, this means that the
               only antecedents we have to keep available in the discourse record are the NP objects.
               However, this approach becomes to narrow if one want to give account for more complex,
               or implicit kind of anaphora, such as situation  anaphora, abstract  object anaphora or
               associative anaphora (e.g. Webber, 1990, Fraurud, 1992, Asher, 1993, Dahl & Hellman,
               1995), or connected phenomena treated as anaphora such as presuppositions (van der
               Sandt, 1992) and referent coercion (e.g. Dahl & Hellman, 1995).
               It is clear, that to refer back to those more abstract or implicit objects, it is not enough to
               just keep NP objects available in the discourse record. Rather it is needed a discourse
               record with information about e.g. situations and associative connections (semantically
               related items). It is also worth noticing that while co-referent NP anaphora has a clearly
               anaphoric identity, the abstract object anaphora and the associative anaphora might be
               more easily understood as discourse relations, e.g. rhetorical relations (Mann & Thompson,
               1988) or coherence relations (Hobbs, 1995). There is a large body of work on automatic
               anaphora resolution, however, often it is delimited to resolution of NP anaphora. Sidner
               (1983) makes explicitly use of the concept of focus, for resolving anaphora, i.e. her anaphora
               resolution algorithm is in the first step predicting focus, and in the second step choosing
               the antecedent on basis of the focus ranking. The use of Centering Theory (Grosz, Joshi &
               Weinstein, 1995) as an algorithm for anaphora resolution works in the same way, i.e. (a)
               predict focus, (b) choose antecedents from the ranked elements. Eckert and Strube (1998)
               has used the Centering theory algorithm, extended with speech act tagging, to develop an
               algorithm for resolution of abstract object anaphora in dialogue. Also Harabagiu (1999)
               have done work on automatic co-reference resolution.
               To  investigate anaphora  might be viewed as  a way  to investigate the “symptom”  of
               coherence in discourse.





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