Paper-Conference

Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework
We introduce a deep learning model to learn the set of enumerated job skills associated with a job description. In our analysis of a …
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Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding
Inflectional variation is a common feature of World Englishes such as Colloquial Singapore English and African American Vernacular …
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Re-examining the Role of Schema Linking in Text-to-SQL
In existing sophisticated text-to-SQL models, schema linking is often considered as a simple, minor component, belying its importance. …
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SciWING-- A Software Toolkit for Scientific Document Processing
We introduce SciWING, an open-source soft-ware toolkit which provides access to state-of-the-art pre-trained models for scientific …
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Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
The curse of knowledge can impede communication between experts and laymen. We propose a new task of expertise style transfer and …
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It′s Morphin′ Time! Combating Linguistic Discrimination with Inflectional Perturbations
Training on only perfect Standard English corpora predisposes pre-trained neural networks to discriminate against minorities from …
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Semantic Graphs for Generating Deep Questions
This paper proposes the problem of Deep Question Generation (DQG), which aims to generate complex questions that require reasoning over …
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Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems
Recommender systems are embracing conversational technologies to obtain user preferences dynamically, and to overcome inherent …
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FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection. …
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Sentiment Aware Neural Machine Translation
Sentiment ambiguous lexicons refer to words where their polarity depends strongly on con- text. As such, when the context is absent, …
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