This paper presents the application of Hobbs algorithm for pronominal resolution in Hindi. Hobb’s algorithm makes use of syntactic information rather than semantic information can thus be used as baseline algorithm. The algorithm has been adapted for Hindi language taking into account the roles of subject, object and its impact on anaphora resolution for reflexive and possessive pronouns. In case, if subject is dative, then possessive and reflexive pronouns loose the complimentary distribution, where reflexive pronoun binds with preceding nominative as well as dative noun phrase within a sentence, possessive pronoun extends the binding to the previous sentence as well
Abstract This chapter summarizes the most influential non-statistical approaches to anaphora resolut...
This paper investigates subject and antisubject orientation in Hindi-Urdu. We argue that the locus o...
A typical problem in the resolution of pronominal anaphora is the presence of more than one candidat...
Anaphora Resolution is exigent task in almost all NLP applications such as text summarization, machi...
Abstract NLP is a sub-domain of artificial intelligence (AI) that focuses on how computers interact...
326 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985.This research investigated th...
Anaphora Resolution is the process of resolving references to an entity from the set of referring ex...
In this paper we present a computational model for pronominal anaphora resolution in Turkish. The mo...
Sensitivity analysis is the process of doing a systematic review involving a sequence of parameter, ...
The algorithm, based on syntactic approach to pronominal anaphora resolution in patents in order to ...
This paper presents the results of research undertaken on anaphora resolution achieved by partially-...
Anaphor candidate determination is an important process in anaphora resolution (AR) systems. There a...
Anaphor candidate determination is an important process in anaphora resolution (AR) systems. There a...
Discourse pronominal anaphora resolution must be part of any efficient information processing system...
Anaphora Resolution is playing more and more important role in Natural Language Processing. There is...
Abstract This chapter summarizes the most influential non-statistical approaches to anaphora resolut...
This paper investigates subject and antisubject orientation in Hindi-Urdu. We argue that the locus o...
A typical problem in the resolution of pronominal anaphora is the presence of more than one candidat...
Anaphora Resolution is exigent task in almost all NLP applications such as text summarization, machi...
Abstract NLP is a sub-domain of artificial intelligence (AI) that focuses on how computers interact...
326 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985.This research investigated th...
Anaphora Resolution is the process of resolving references to an entity from the set of referring ex...
In this paper we present a computational model for pronominal anaphora resolution in Turkish. The mo...
Sensitivity analysis is the process of doing a systematic review involving a sequence of parameter, ...
The algorithm, based on syntactic approach to pronominal anaphora resolution in patents in order to ...
This paper presents the results of research undertaken on anaphora resolution achieved by partially-...
Anaphor candidate determination is an important process in anaphora resolution (AR) systems. There a...
Anaphor candidate determination is an important process in anaphora resolution (AR) systems. There a...
Discourse pronominal anaphora resolution must be part of any efficient information processing system...
Anaphora Resolution is playing more and more important role in Natural Language Processing. There is...
Abstract This chapter summarizes the most influential non-statistical approaches to anaphora resolut...
This paper investigates subject and antisubject orientation in Hindi-Urdu. We argue that the locus o...
A typical problem in the resolution of pronominal anaphora is the presence of more than one candidat...