A Study of the Morpho-Semantic Relationship in Medline.

No abstract is available for this paper.

• Publication year

  2013

• Venue

  The Open Information Systems Journal

• Publication date

  2013-11-21

• Fields of study

  Biology, Medicine, Linguistics, Computer Science

• Identifiers
  DOI 10.2174/1874133920131121001PMID 24976874PMCID PMC4072344
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• A statistical interpretation of term specificity and its application in retrieval

  2021cited by this paper
• Better Word Representations with Recursive Neural Networks for Morphology

  2013cited by this paper
• Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics

  2013cited by this paper
• A Hierarchical Dirichlet Process Model for Joint Part-of-Speech and Morphology Induction

  2012cited by this paper
• Long-Tail Distributions and Unsupervised Learning of Morphology

  2012cited by this paper
• Universal Morphological Analysis using Structured Nearest Neighbor Prediction

  2011cited by this paper
• Unsupervised Learning of Morphology

  2011cited by this paper
• Sentinel Surveillance of Influenza-Like-Illness in Two Cities of the Tropical Country of Ecuador: 2006–2010

  2011cited by this paper
• Unsupervised Morphological Segmentation with Log-Linear Models

  2009cited by this paper
• Unsupervised Learning of the Morpho-Semantic Relationship in MEDLINE

  2007cited by this paper
• Morphology Induction from Term Clusters

  2005cited by this paper
• The Synergy Between PAV and AdaBoost

  2005cited by this paper
• MedPost: a part-of-speech tagger for bioMedical text

  2004cited by this paper
• A Powerful and General Approach to Context Exploitation in Natural Language Processing

  2004cited by this paper
• A Framework for Unsupervised Natural Language Morphology Induction

  2004cited by this paper
• Multilingual Noise-Robust Supervised Morphological Analysis using the WordFrame Model

  2004cited by this paper
• Flexible Phrase Based Query Handling Algorithms.

  2001cited by this paper
• Global term weights for document retrieval learned from TREC data

  2001cited by this paper
• Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition, 2nd Edition

  2000cited by this paper
• Minimally Supervised Morphological Analysis by Multimodal Alignment

  2000cited by this paper
• Review of Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition by Daniel Jurafsky and James H. Martin. Prentice Hall 2000.

  2000cited by this paper
• Knowledge-Free Induction of Morphology Using Latent Semantic Analysis

  2000cited by this paper
• An algorithm for suffix stripping

  1997cited by this paper
• Gauging Similarity with n-Grams: Language-Independent Categorization of Text

  1995cited by this paper
• Finding approximate matches in large lexicons

  1995cited by this paper
• Managing gigabytes

  1994cited by this paper
• A Numerical Study of the Limited Memory BFGS Method and the Truncated-Newton Method for Large Scale Optimization

  1991cited by this paper
• A Family of Similarity Measures Between Two Strings

  1979cited by this paper
• Document Retrieval Experiments using Indexing Vocabularies of varying Size. Ii. Hashing, truncation, digram and Trigram Encoding of Index Terms

  1979influential reference
• The use of an association measure based on character structure to identify semantically related pairs of words and document titles

  1974cited by this paper
• String similarity and misspellings

  1967cited by this paper
• AN EMPIRICAL DISTRIBUTION FUNCTION FOR SAMPLING WITH INCOMPLETE INFORMATION

  1955cited by this paper
• Human behavior and the principle of least effort

  1949cited by this paper

• Better synonyms for enriching biomedical search

  2020influential citation
• Derivational Relations in Arabic WordNet

  2018cites this paper
• PubTermVariants: biomedical term variants and their use for PubMed search

  2016influential citation