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Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches
Adithya Pratapa, Teruko Mitamura
Automatically summarizing large text collections is a valuable tool for document research, with applications in journalism, academic research, legal work, and many other fields. In…
Cross-document Event Identity via Dense Annotation
Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa +4
In this paper, we study the identity of textual events from different documents. While the complex nature of event identity is previously studied (Hovy et al., 2013), the case of e…
Evaluating the Morphosyntactic Well-formedness of Generated Texts
Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani +4
Text generation systems are ubiquitous in natural language processing applications. However, evaluation of these systems remains a challenge, especially in multilingual settings. I…
Automatic Extraction of Rules Governing Morphological Agreement
Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa +4
Creating a descriptive grammar of a language is an indispensable step for language documentation and preservation. However, at the same time it is a tedious, time-consuming task. I…