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Quantification of protein group coherence and pathway assignment using functional association
TLDR
We have developed two scores for quantifying functional coherence by considering association of GO terms observed in two biological contexts, co-occurrences in protein annotations and co-mentions in literature in the PubMed database. Expand
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Hope Speech Detection: A Computational Analysis of the Voice of Peace
TLDR
The recent Pulwama terror attack (February 14, 2019) triggered a chain of escalating events between India and Pakistan adding another episode to their 70-year-old dispute over Kashmir. Expand
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Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models
TLDR
Mining insights from large volume of social media texts with minimal supervision is a highly challenging Natural Language Processing (NLP) task. Expand
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Kashmir: A Computational Analysis of the Voice of Peace
TLDR
The recent Pulwama terror attack (February 14, 2019, Kashmir) triggered a chain of escalating events between India and Pakistan adding another episode to their 70-year-old dispute over Kashmir. Expand
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Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas
TLDR
The Rohingya refugee crisis is one of the biggest humanitarian crises of modern times with more than 600,000 Rohingyas rendered homeless according to the United Nations. Expand
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Harnessing Code Switching to Transcend the Linguistic Barrier
TLDR
We demonstrate an untapped potential of harnessing code mixing for human well-being in social-media content generated by a linguistically diverse user-base. Expand
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Query Transformations for Result Merging
TLDR
We explore how term-dependence models and query expansion strategies influence result-merging in the federated search pipeline. Expand
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Discovering Bilingual Lexicons in Polyglot Word Embeddings
TLDR
We use a single Skip-gram model trained on a multilingual corpus yielding polyglot word embeddings, and present a novel finding that a surprisingly simple constrained nearest-neighbor sampling technique in this embedding space can retrieve bilingual lexicons, even in harsh social media data sets predominantly written in English and Romanized Hindi. Expand
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An SMT Approach To A Multiparty Economic Scheduling Problem
We discuss a multiparty resource allocation problem in a digital marketplace for purchase and sale of compute resources. The problem exhibits several challenging characteristics: (i) multiple agentsExpand
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