1 citations · 1 across the 2 of their papers we have counts for
5 papers
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
Sopan Khosla, James Fiacco, Carolyn Rose
Recent work on entity coreference resolution (CR) follows current trends in Deep Learning applied to embeddings and relatively simple task-related features. SOTA models do not make…
Using Type Information to Improve Entity Coreference Resolution
Sopan Khosla, Carolyn Rose
Coreference resolution (CR) is an essential part of discourse analysis. Most recently, neural approaches have been proposed to improve over SOTA models from earlier paradigms. So f…
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
Sopan Khosla, Rishabh Joshi, Ritam Dutt +2
In this paper we describe our submission for the task of Propaganda Span Identification in news articles. We introduce a BERT-BiLSTM based span-level propaganda classification mode…
Surveys without Questions: A Reinforcement Learning Approach
Atanu R Sinha, Deepali Jain, Nikhil Sheoran +2
The 'old world' instrument, survey, remains a tool of choice for firms to obtain ratings of satisfaction and experience that customers realize while interacting online with firms.…
Aff2Vec: Affect--Enriched Distributional Word Representations
Sopan Khosla, Niyati Chhaya, Kushal Chawla
Human communication includes information, opinions, and reactions. Reactions are often captured by the affective-messages in written as well as verbal communications. While there h…