23 citations · 69 across the 28 of their papers we have counts for
12 papers · 1 filter
COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews
Shruti Singh, Mayank Singh, Pawan Goyal
Comparing research papers is a conventional method to demonstrate progress in experimental research. We present COMPARE, a taxonomy and a dataset of comparison discussions in peer…
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text
Vivek Srivastava, Mayank Singh
In this shared task, we seek the participating teams to investigate the factors influencing the quality of the code-mixed text generation systems. We synthetically generate code-mi…
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation
Ayush Garg, Sammed S Kagi, Vivek Srivastava +1
Code-mixing is a phenomenon of mixing words and phrases from two or more languages in a single utterance of speech and text. Due to the high linguistic diversity, code-mixing prese…
HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text
Vivek Srivastava, Mayank Singh
Text generation is a highly active area of research in the computational linguistic community. The evaluation of the generated text is a challenging task and multiple theories and…
TweeNLP: A Twitter Exploration Portal for Natural Language Processing
Viraj Shah, Shruti Singh, Mayank Singh
We present TweeNLP, a one-stop portal that organizes Twitter's natural language processing (NLP) data and builds a visualization and exploration platform. It curates 19,395 tweets…
Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text
Vivek Srivastava, Mayank Singh
Code-mixing is a frequent communication style among multilingual speakers where they mix words and phrases from two different languages in the same utterance of text or speech. Ide…