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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
When answering a question, people often draw upon their rich world knowledge in addition to some task-specific context. Recent work has focused primarily on answering questions based on some relevantExpand
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  • Open Access
An author-reader influence model for detecting topic-based influencers in social media
This work addresses the problem of detecting topic-based influencers in social media. For that end, we devise a novel behavioral model of authors and readers, where authors try to influence readersExpand
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Neural Semantic Parsing over Multiple Knowledge-bases
A fundamental challenge in developing semantic parsers is the paucity of strong supervision in the form of language utterances annotated with logical form. In this paper, we propose to exploitExpand
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  • Open Access
TAPAS: Weakly Supervised Table Parsing via Pre-training
Answering natural language questions over tables is usually seen as a semantic parsing task. To alleviate the collection cost of full logical forms, one popular approach focuses on weak supervisionExpand
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  • Open Access
Detecting Egregious Conversations between Customers and Virtual Agents
Virtual agents are becoming a prominent channel of interaction in customer service. Not all customer interactions are smooth, however, and some can become almost comically bad. In such instances, aExpand
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  • Open Access
Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds
It is known that acoustic heart sounds carry significant information about the mechanical activity of the heart. In this paper, we present a novel type of cardiac monitoring based on heart soundExpand
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Neural Response Generation for Customer Service based on Personality Traits
We present a neural response generation model that generates responses conditioned on a target personality. The model learns high level features based on the target personality, and uses them toExpand
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  • Open Access
Classifying Emotions in Customer Support Dialogues in Social Media
Providing customer support through social media channels is gaining increasing popularity. In such a context, automatic detection and analysis of the emotions expressed by customers is important, asExpand
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  • Open Access
Emotion Detection from Text via Ensemble Classification Using Word Embeddings
Emotion detection from text has become a popular task due to the key role of emotions in human-machine interaction. Current approaches represent text as a sparse bag-of-words vector. In this work, weExpand
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TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks
Currently, no large-scale training data is available for the task of scientific paper summarization. In this paper, we propose a novel method that automatically generates summaries for scientificExpand
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  • Open Access