Darshan Agarwal

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This paper describes the techniques for the automatic detection of subtopic/subplan boundary in Hindi dialogue using structure of dialogue, dialogue acts, shallow linguistic features and word co-occurrence. Our experiments illustrate that the use of dialogue structure, word co-occurrence and wordnet improves the boundary identification for Hindi natural(More)
Semantic textual similarity is the degree of equivalence between the two sentences semantically. We may also say, it is the ability to substitute one text for the other without changing its meaning. In this paper, we propose rule based and supervised systems which measure the semantic relatedness between two Hindi sentences on the scale of 0 (least similar)(More)
This paper presents an annotation schema for annotating semantic textual similarity. Given two sentences, the goal of the annotation is to give the similarity score between two sentences on a scale of 0 to 5. Annotators faced several difficulties in assigning similarity scores by following the [1] annotation scheme. To overcome those difficulties, we(More)
In this paper, we present a Paninian grammar based heuristic model1 to resolve entity-pronoun references in Hindi dialogue. We explore the use of Paninian based dependency structures as a source of syntactico-semantic information. Our experiments illustrate that the use of dependency and dialogue structures help to resolve specific types of references. We(More)
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