By Massimo Poesio, Roland Stuckardt, Yannick Versley
This publication lays out a course major from the linguistic and cognitive fundamentals, to classical rule-based and computer studying algorithms, to today’s state of the art methods, which use complex empirically grounded suggestions, computerized wisdom acquisition, and subtle linguistic modeling to make a true distinction in real-world functions. Anaphora and coreference answer either seek advice from the method of linking textual words (and, accordingly, the data connected to them) inside of in addition to throughout sentence barriers, and to a similar discourse referent.
The e-book deals an summary of modern learn advances, concentrating on sensible, operational ways and their functions. partially I (Background), it offers a normal advent, which succinctly summarizes the linguistic, cognitive, and computational foundations of anaphora processing and the most important classical rule- and machine-learning-based anaphora answer algorithms. Acknowledging the primary significance of shared assets, half II (Resources) covers annotated corpora, formal evaluate, preprocessing expertise, and off-the-shelf anaphora solution platforms. half III (Algorithms) presents an intensive description of state of the art anaphora solution algorithms, overlaying superior laptop studying tools in addition to suggestions for achieving vital subtasks similar to point out detection and acquisition of appropriate wisdom. half IV (Applications) bargains with a range of significant anaphora and coreference solution purposes, discussing specific eventualities in various domain names and distilling a best-practice version for systematically drawing close new software instances. within the concluding half V (Outlook), in accordance with a survey performed one of the contributing authors, the clients of the study box of anaphora processing are mentioned, and promising new parts of interdisciplinary cooperation and rising software situations are identified.
Given the book’s layout, it may be used either as an accompanying textual content for complex lectures in computational linguistics, normal language engineering, and desktop technology, and as a reference paintings for learn and autonomous examine. It addresses an viewers that incorporates educational researchers, college academics, postgraduate scholars, complicated undergraduate scholars, business researchers, and software program engineers.
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Extra info for Anaphora Resolution: Algorithms, Resources, and Applications
Quantificational NPs are often context dependent, but in the sense that their domain of quantification is contextually specified, as discussed above. We will therefore concentrate here on referring expressions, and on the problem of selecting the discourse entity they are associated with, that is generally called anchor in the most general case, and antecedent in the case the relation between the referring expression and the anchor is one of identity (see below). There are many varieties of referring noun phrases, which differ primarily according to the rules that govern their anaphoric behavior [19, 37, 39, 57, 113].
Thus, our interest in predicative NPs in this book will be limited to the fact that as many types of noun phrases can be used referentially in some contexts and predicatively in others, an anaphora resolution system must distinguish between the two types of NPs, hence the distinction must be reflected in anaphoric annotation schemes [102, 111]. Quantificational NPs are often context dependent, but in the sense that their domain of quantification is contextually specified, as discussed above. We will therefore concentrate here on referring expressions, and on the problem of selecting the discourse entity they are associated with, that is generally called anchor in the most general case, and antecedent in the case the relation between the referring expression and the anchor is one of identity (see below).
Stanford AI Laboratory Memo AIM-206, Stanford University (1973) 38. : Understanding Natural Language. Academic, New York/Edinburgh University Press, Edinburgh (1972) 39. : The lunar sciences natural language information system: final report. Bolt Beranek and Newman, Cambridge (1972) Part I Background Linguistic and Cognitive Evidence About Anaphora Massimo Poesio Abstract Linguistics and psychology provide us with a theoretical analysis of what anaphoric expressions mean, and evidence about how their interpretation is recovered in context—in particular, which information is used.
Anaphora Resolution: Algorithms, Resources, and Applications by Massimo Poesio, Roland Stuckardt, Yannick Versley