The Mitkov Algorithm for Anaphora Resolution in Portuguese

2008 ◽  
pp. 51-60 ◽  
Author(s):  
Amanda Rocha Chaves ◽  
Lucia Helena Machado Rino
Keyword(s):  
Anaphora Resolution

Crossover: a unified view

1998 ◽  
Vol 34 (1) ◽  
pp. 73-124 ◽  
Author(s):  
RUTH KEMPSON ◽  
DOV GABBAY
Keyword(s):  
Language Processing ◽  
Deductive System ◽  
Anaphora Resolution ◽  
Unified View ◽  
On Line

This paper informally outlines a Labelled Deductive System for on-line language processing. Interpretation of a string is modelled as a composite lexically driven process of type deduction over labelled premises forming locally discrete databases, with rules of database inference then dictating their mode of combination. The particular LDS methodology is illustrated by a unified account of the interaction of wh-dependency and anaphora resolution, the so-called ‘cross-over’ phenomenon, currently acknowledged to resist a unified explanation. The shift of perspective this analysis requires is that interpretation is defined as a proof structure for labelled deduction, and assignment of such structure to a string is a dynamic left-right process in which linearity considerations are ineliminable.

scholarly journals A Comparative Study of Linguistic and Computational Features Based on a Machine Learning for Arabic Anaphora Resolution

2021 ◽  
Vol 189 ◽  
pp. 37-47
Author(s):  
Abdullatif Abolohom ◽  
Nazlia Omar ◽  
Sebastião Pais ◽  
João Cordeiro
Keyword(s):  
Machine Learning ◽  
Comparative Study ◽  
Anaphora Resolution

scholarly journals Analysis of Anaphora Resolution System for English Language

2014 ◽  
Vol 3 (2) ◽  
pp. 51-57 ◽  
Author(s):  
Smita Singh ◽  
Priya Lakhmani ◽  
Pratistha Mathur ◽  
Sudha Morwal
Keyword(s):  
English Language ◽  
Anaphora Resolution ◽  
Resolution System

scholarly journals Anaphora resolution without world knowledge

2003 ◽  
Vol 19 (1) ◽  
pp. 181-200 ◽  
Author(s):  
Vilson J. Leffa
Keyword(s):  
Language Processing ◽  
Expository Text ◽  
Internal Representation ◽  
Schema Theory ◽  
Anaphora Resolution ◽  
Semantic Features ◽  
World Knowledge ◽  
Semantic Constraints ◽  
Pronominal Anaphora ◽  
Sentence Subject

A typical problem in the resolution of pronominal anaphora is the presence of more than one candidate for the antecedent of the pronoun. Considering two English sentences like (1) "People buy expensive cars because they offer more status" and (2) "People buy expensive cars because they want more status" we can see that the two NPs "people" and "expensive cars", from a purely syntactic perspective, are both legitimate candidates as antecedents for the pronoun "they". This problem has been traditionally solved by using world knowledge (e.g. schema theory), where, through an internal representation of the world, we "know" that cars "offer" status and people "want" status. The assumption in this paper is that the use of world knowledge does not explain how the disambiguation process works and alternative explanations should be explored. Using a knowledge poor approach (explicit information from the text rather than implicit world knowledge) the study investigates to what extent syntactic and semantic constraints can be used to resolve anaphora. For this purpose, 1,400 examples of the word "they" were randomly selected from a corpus of 10,000,000 words of expository text in English. Antecedent candidates for each case were then analyzed and classified in terms of their syntactic functions in the sentence (subject, object, etc.) and semantic features (+ human, + animate, etc.). It was found that syntactic constraints resolved 85% of the cases. When combined with semantic constraints the resolution rate rose to 98%. The implications of the findings for Natural Language Processing are discussed.

scholarly journals An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution

2020 ◽  
Author(s):  
Ryuto Konno ◽  
Yuichiroh Matsubayashi ◽  
Shun Kiyono ◽  
Hiroki Ouchi ◽  
Ryo Takahashi ◽  
...  
Keyword(s):  
Empirical Study ◽  
Data Augmentation ◽  
Anaphora Resolution ◽  
Contextual Data ◽  
Zero Anaphora

scholarly journals Anaphora Resolution Strategies in L2 Reading

2018 ◽  
Vol 18 (4) ◽  
pp. 395-422
Author(s):  
CHOIYEONHEE ◽  
안혜림 ◽  
이진영
Keyword(s):  
Anaphora Resolution ◽  
L2 Reading ◽  
Resolution Strategies
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