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Incremental Text Structuring with Online Hierarchical Ranking
Many emerging applications require doc- uments to be repeatedly updated. Such documents include newsfeeds, webpages, and shared community resources such as Wikipedia. In this paper we address the task of …...
Exploring ESA to Improve Word Relatedness
Explicit Semantic Analysis (ESA) is an ap- proach to calculate the semantic relatedness between two words or natural language texts with the help of concepts grounded in human cognition. ESA …...
A Cross-Domain Transferable Neural Coherence Model
AbstractCoherence is an important aspect of text quality and is crucial for ensuring its readability. One important limitation of existing coherence models is that training on one domain does not …...
Argument Generation with Retrieval, Planning, and Realization
AbstractAutomatic argument generation is an appealing but challenging task. In this paper, we study the specific problem of counter-argument generation, and present a novel framework, CANDELA. It consists of a …...
Lexical Quantile-Based Text Complexity Measure
AbstractThis paper introduces a new approach to estimating the text document complexity. Common readability indices are based on average length of sentences and words. In contrast to these methods, we …...
A Seed Corpus of Hindu Temples in India
AbstractTemples are an integral part of culture and heritage of India and are centers of religious practice for practicing Hindus. A scientific study of temples can reveal valuable insights into …...
Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks
AbstractMasked language models have quickly become the de facto standard when processing text. Recently, several approaches have been proposed to further enrich word representations with external knowledge sources such as …...