Multigraph Representation for Lexical Chaining
نویسنده
چکیده
In this paper lexical cohesion modeling is considered. We argue that to model lexical cohesion in connected texts it is not enough to find related words in a text. It is important to take into account relations between entities participating in the described situations. Consideration of this factor gives the possibility to develop more flexible lexical chaining algorithms and to construct lexical chains more corresponding to the discourse structure. The multigraph representation seems to be appropriate as a basis for lexical cohesion modeling.
منابع مشابه
Adapting Lexical Chaining to Summarize Conversational Dialogues
We present a system for summarizing transcripts of conversational dialogues based on lexical chaining. The experiments were carried out with twenty Switchboard dialogues (LDC, 1993). We designed and implemented four summarization methods employing lexical chains as their source representation. The summarization task is defined as extracting the most relevant utterances conveying the meaning of ...
متن کاملAutomatic Knowledge Representation Using A Graph-Based Algorithm For Language-Independent Lexical Chaining
Lexical Chains are powerful representations of documents. In particular, they have successfully been used in the field of Automatic Text Summarization. However, until now, Lexical Chaining algorithms have only been proposed for English. In this paper, we propose a greedy Language-Independent algorithm that automatically extracts Lexical Chains from texts. For that purpose, we build a hierarchic...
متن کاملA New Lexical Chain Algorithm Used for Automatic Summarization
Lexical chains are widely used as a representation of text for Natural Language Processing tasks. However, efficient algorithms for the construction of lexical chains often resort to local decisions. We propose a new algorithm for Lexical Chaining, based on a global function optimization through Relaxation Labelling. A preliminary evaluation of the performance of our approach has been performed...
متن کاملTopic Detection, a New Application for Lexical Chaining?
This paper discusses a system for online new event detection as part of the Topic Detection and Tracking (TDT) initiative. Our approach uses a single-pass clustering algorithm, which includes a time-based selection model and a thresholding model. We evaluate two benchmark systems: The first indexes documents by keywords and the second attempts to perform conceptual indexing through the use of t...
متن کاملWhat are Ontologies Good For? Evaluating Terminological Ontologies in the Framework of Text Graph Classification
This paper develops a graph-theoretical model of text representation based on lexical chaining. Other than present approaches to chaining, this model reflects the logical document structure of texts as well as semantic relations of their lexical constituents in order to compute text similarity values. By varying the terminological ontology used to induce such relations, a door is opened to syst...
متن کامل