Add to ORKGPaper presented at the Proceedings of RRNLP-2002, Alicante, Spain.In this paper, the behaviour of an existing pronominal anaphora resolution system is modified so that different types of pronoun are treated in different ways. Weights are derived using a genetic algorithm for the outcomes of tests applied by this branching algorithm. Detailed evaluation and error analysis is undertaken. Proposals for future research are put forward
This paper presents an algorithm for identifying noun-phrase antecedents of pronouns and adjectival ...
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The identification of definitions from natural language texts is useful in learning environments, fo...
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This paper presents the results of research undertaken on anaphora resolution achieved by partially-...
This paper describes a new, advanced and completely revamped version of Mitkov's knowledge-poor appr...
Anaphora resolution is the problem of resolving references of pronouns to antecedents (previously me...
Abstract. This paper describes a new, advanced and completely re-vamped version of Mitkov's kno...
This thesis presents a new theory of information modelling in natural language processing that attem...
We present an evaluation of three anaphora resolution algorithms – GuiTAR, JavaRAP and MARS – based ...
Anaphora resolution is a central topic in dialogue and discourse that deals with finding the referen...
In the last decade, much effort went into the design of robust third-person pronominal anaphor resol...
Term Extraction, a key data preparation step in Text Mining, extracts the terms, i.e. relevant collo...
We compare two ways of obtaining lexical knowledge for antecedent selection in other-anaphora and de...
This paper presents an algorithm for identifying noun-phrase antecedents of pronouns and adjectival ...
This thesis describes a method for generating semantically motivated antecedent candidates for use i...
The identification of definitions from natural language texts is useful in learning environments, fo...
In this paper, we describe a method of automatic extraction of knowledge patterns using in term desc...
This paper analyses a valuable but forgotten resource in automatic terminology processing (ATP): glo...
This paper presents the results of research undertaken on anaphora resolution achieved by partially-...
This paper describes a new, advanced and completely revamped version of Mitkov's knowledge-poor appr...
Anaphora resolution is the problem of resolving references of pronouns to antecedents (previously me...
Abstract. This paper describes a new, advanced and completely re-vamped version of Mitkov's kno...
This thesis presents a new theory of information modelling in natural language processing that attem...
We present an evaluation of three anaphora resolution algorithms – GuiTAR, JavaRAP and MARS – based ...
Anaphora resolution is a central topic in dialogue and discourse that deals with finding the referen...
In the last decade, much effort went into the design of robust third-person pronominal anaphor resol...
Term Extraction, a key data preparation step in Text Mining, extracts the terms, i.e. relevant collo...
We compare two ways of obtaining lexical knowledge for antecedent selection in other-anaphora and de...
This paper presents an algorithm for identifying noun-phrase antecedents of pronouns and adjectival ...
This thesis describes a method for generating semantically motivated antecedent candidates for use i...
The identification of definitions from natural language texts is useful in learning environments, fo...