ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Conference Paper
Publisher : Text Processing, Springer International Publishing, Volume 10478 LNCS
Source : Text Processing, Springer International Publishing, Volume 10478 LNCS, Cham, p.128-140 (2018)
ISBN : 9783319736068
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2018
Abstract : This paper explains the overview of the shared task on ``Detecting Paraphrases in Indian Languages'' (DPIL) conducted at FIRE 2016. Given a pair of sentences in the same language, participants were asked to detect the semantic equivalence between sentences. This shared task was proposed for four Indian languages, namely Tamil, Malayalam, Hindi, and Punjabi. There were two subtasks given under the shared task on Detecting Paraphrase in Indian Languages. Given a pair of sentences, the subtask-1 was to classify them as paraphrases or not paraphrases. The subtask-2 was to identify whether they are paraphrases or semi-paraphrases or not paraphrases. The dataset created for the shared task has been made available online, and it is the first open-source paraphrase detection corpora for Indian languages. In this overview paper, we describe both subtasks, datasets, evaluation methods and system descriptions as well as performances of the submitted runs.
Cite this Research Publication : A. M. Kumar, Singh, S., Kavirajan, B., and Dr. Soman K. P., “Shared Task on Detecting Paraphrases in Indian Languages (DPIL): An Overview”, in Text Processing, Cham, 2018, vol. 10478 LNCS, pp. 128-140.