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Quantifying Context With and Without Statistical Language Models
Context is a driving force behind many cognitive computational models and touches nearly all aspects of human cognition. Moreover, researchers in...
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The Role of Experiments in Experimental Mathematics
This chapter is devoted to discussions about the nature of experiments in mathematics during the formative period of experimental mathematics and to...
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The Language of Proofs: A Philosophical Corpus Linguistics Study of Instructions and Imperatives in Mathematical Texts
A common description of a mathematical proof is as a logically structured sequence of assertions, beginning from accepted premises and proceeding by...
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Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature
BackgroundDrug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature. For...
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BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine
BackgroundRecent advances in representation learning have enabled large strides in natural language understanding; However, verbal reasoning remains...
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ResidueFinder: extracting individual residue mentions from protein literature
BackgroundThe revolution in molecular biology has shown how protein function and structure are based on specific sequences of amino acids. Thus, an...
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Deep Learning for Natural Language Processing: A Survey
Over the last decade, deep learning has revolutionized machine learning. Neural network architectures have become the method of choice for many...
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A difference-of-convex programming approach with parallel branch-and-bound for sentence compression via a hybrid extractive model
Sentence compression is an important problem in natural language processing with wide applications in text summarization, search engine and human–AI...
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Learning adaptive representations for entity recognition in the biomedical domain
BackgroundNamed Entity Recognition is a common task in Natural Language Processing applications, whose purpose is to recognize named entities in...
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Application of Pretrained Large Language Models in Embodied Artificial Intelligence
AbstractA feature of tasks in embodied artificial intelligence is that a query to an intelligent agent is formulated in natural language. As a...
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Improved characterisation of clinical text through ontology-based vocabulary expansion
BackgroundBiomedical ontologies contain a wealth of metadata that constitutes a fundamental infrastructural resource for text mining. For several...
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The Important Influencing Factors in Machine Translation
Factored-based machine translation deals with various important linguistics information of a word during the translation process. Morphologically...
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How Train–Test Leakage Affects Zero-Shot Retrieval
Neural retrieval models are often trained on (subsets of) the millions of queries of the MS MARCO/ORCAS datasets and then tested on the 250 Robust04...
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Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific
The patterns and dynamics that govern the flow of concepts and the association of information for various scientific domains, are not well understood...
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Similarity corpus on microbial transcriptional regulation
BackgroundThe ability to express the same meaning in different ways is a well-known property of natural language. This amazing property is the source...
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Prediction Using Sentiment Analysis on Multi-domain Category: Stocks and Politics Using Twitter Repository
Twitter is a microblogging website and a large public database of various people, products, services, and businesses. The process of analyzing one’s...
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Matrix Models of Texts: Models Of Text Collections
AbstractThe models of text corpora, formed on the basis of the matrix model of texts in natural languages, are presented. As methods to form models...
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Evaluation of Supervised Classifiers for Fake News Detection Using Twitter Dataset
Social media has gained immense popularity owing to the globe-wide pandemic. To maintain social connection and well-being, massive usage of social...
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Ontological Approach to a Knowledge Graph Construction in a Semantic Library
AbstractThe paper considers an approach to a knowledge graph construction based on the ontological representation of scientific subject areas. The...
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Quantifying Context With and Without Statistical Language Models
Context is a driving force behind many cognitive computational models and touches nearly all aspects of human cognition. Moreover, researchers in...