On the public citation graph
Discrimination decisions for 100,000-dimensional spaces
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9openalex-snapshot
Indexing by latent semantic analysis
inferredcites →https://doi.org/10.1002/(sici)1097-4571(199101)42:1<7::aid-asi2>3.0.co;2-popenalex-snapshot
How effective is suffixing?
inferredcites →https://doi.org/10.1007/978-3-642-50096-1_11openalex-snapshot
Estimation Procedures for Language Context: Poor Estimates are Worse than None
inferredcites →https://doi.org/10.1108/eb026562openalex-snapshot
ON THE SPECIFICATION OF TERM VALUES IN AUTOMATIC INDEXING
inferredcites →https://doi.org/10.1109/icassp.1989.266522openalex-snapshot
A stochastic parts program and noun phrase parser for unrestricted text
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.3115/112405.112428openalex-snapshot
Identifying word correspondence in parallel texts
inferredcites →https://doi.org/10.3115/981344.981367openalex-snapshot
A program for aligning sentences in bilingual corpora
inferredcites →https://doi.org/10.4159/harvard.9780674434929openalex-snapshot
Selected Studies of the Principle of Relative Frequency in Language
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4517425openalex-extracted
Spelling Checking Mechanism Based on Layered Language Model Complied with Google Web
inferred← citeshttps://doi.org/10.1007/978-3-642-33693-5_2openalex-snapshot
The Naïve Bayes Model in the Context of Word Sense Disambiguation
inferred← citeshttps://doi.org/10.1007/s10462-009-9117-6openalex-snapshot
Performing word sense disambiguation at the border between unsupervised and knowledge-based techniques
inferred← citeshttps://doi.org/10.1007/s10462-021-10051-xopenalex-snapshot
Capitalization and punctuation restoration: a survey
inferred← citeshttps://doi.org/10.1108/13632540210807198openalex-snapshot
Super‐themes for PR evaluation
inferred← citeshttps://doi.org/10.1162/tacl_a_00497openalex-snapshot
Temporal Effects on Pre-trained Models for Language Processing Tasks
inferred← citeshttps://doi.org/10.18653/v1/2023.ijcnlp-short.17openalex-snapshot
Perplexity-Driven Case Encoding Needs Augmentation for CAPITALIZATION Robustness
inferred← citeshttps://doi.org/10.3115/1034678.1034732openalex-snapshot
Mixed language query disambiguation
inferred← citeshttps://doi.org/10.3115/1220835.1220836openalex-snapshot
Capitalizing machine translation
inferred← citeshttps://doi.org/10.3115/980451.980916openalex-snapshot
An IR approach for translating new words from nonparallel, comparable texts
inferred← citeshttps://doi.org/10.3115/980845.980916openalex-snapshot
An IR approach for translating new words from nonparallel, comparable texts
inferred← citeshttps://doi.org/10.3115/981658.981684openalex-snapshot
Unsupervised word sense disambiguation rivaling supervised methods
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