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A Calculus for Probabilistic Languages +
A Comparison of String Distance Metrics for Name-Matching Tasks +
A Data Mining Ontology for Grid Programming +
A Decision Rule for Identifying Children at Low Risk for Brain Injuries After Blunt Head Trauma +
A Neural Probabilistic Language Model +
A Note on the Unification of Information Extraction and Data Mining using Conditional-Probability, Relational Models +
A Practical Guide to Support Vector Classification +
A Reference Ontology for Biomedical Informatics: The Foundational Model of Anatomy +
A Survey of Kernels for Structured Data +
A Symbolic Representation of Time Series, with Implications for Streaming Algorithms +
Accurate Unlexicalized Parsing +
Adaptive Duplicate Detection Using Learnable String Similarity Measures +
Aggregation-based Feature Invention and Relational Concept Classes +
An Efficient Boosting Algorithm for Combining Preferences +
An Empirical Model of Multiword Expression Decomposability +
An Evaluation on Feature Selection for Text Clustering +
An Introduction to MCMC for Machine Learning +
An Introduction to Variable and Feature Selection +
An Introduction to Description Logics +
An Introduction to Boosting and Leveraging +
Automatic Annotation of Content-rich HTML Documents: Structural and Semantic Analysis +
Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics +
Automatic Ontology-based Knowledge Extraction from Web Documents +
Bayesian Artificial Intelligence +
Benchmark Test for Speech Recognition Using the Corpus of Spontaneous Japanese +
Bibliographic Attribute Extraction from Erroneous References Based on a Statistical Model +
Review of (Freund & Schapire, 1999) “A Short Introduction to Boosting”; and (Collins, 2000), “Discriminative Reranking for Natural Language Parsing” +
COPLINK: managing law enforcement data and knowledge +
Column Reduction During Progressive Sampling +
Comparing Convolution Kernels and Recursive Neural Networks for Learning Preferences on Structured Data +
Comparing Top k Lists +
The Description Logic Handbook: theory, implementation, and applications +
Design and Analysis of Cross over Trials +
Determining Semantic Similarity among Entity Classes from Different Ontologies +
Discourse Segmentation of Multi-party Conversation +
Distance Metric Learning with Application to Clustering with Side-information +
Document Clustering Based on Non-Negative Matrix Factorization +
Early Results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons. +
Early Results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons. +
Efficient Record Linkage in Large Data Sets +
Efficiently Inducing Features of Conditional Random Fields +
Employing Trainable String Similarity Metrics for Information Integration +
Event Information Extraction Using Link Grammar +
Evidence Combination in Biomedical Natural-Language Processing +
Explaining Text Clustering Results Using Semantic Structures +
Extracting Biochemical Interactions from MEDLINE Using a Link Grammar Parser +
Extracting Synonymous Gene and Protein Terms from Biological Literature +
Fast methods for kernel-based text analysis +
Feature Extraction Languages for Propositionalized Relational Learning +
Feature Extraction by Non Parametric Mutual Information Maximization +
Finite State Morphology +
First-Order Probabilistic Inference +
Fitting Multiplicative Models by Robust Alternating Regressions +
Friends and Neighbors on the Web +
Fuzzy Coreference Resolution for Summarization +
GENIA Corpus - a semantically annotated corpus for bio-textmining +
Grounding spatial named entities for information extraction and question answering +
Head-Driven Statistical Models for Natural Language Parsing +
Hierarchical Hidden Markov Models for Information Extraction +
Hierarchical Document Clustering using Frequent Itemsets +
How I Write +
Identity Uncertainty and Citation Matching +
Improving Word Sense Disambiguation in Lexical Chaining +
Inducing Hyperlinking Rules in Text Collections +
Information Extraction +
Information-Theoretic Co-Clustering +
Integrating Information Extraction and Automatic Hyperlinking +
Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition +
Investigating Semantic Similarity Measures Across the Gene Ontology: The Relationship Between Sequence and Annotation +
Jess in Action: Java Rule-based Systems +
KIM - Semantic Annotation Platform +
Kernel Methods for Relation Extraction +
Language Independent Authorship Attribution Using Character Level Language Models +
Language Modeling for Information Retrieval +
Latent Dirichlet Allocation +
Learning with Progressive Transductive Support Vector Machine +
Link Prediction in Relational Data +
Machine learning and data mining for yeast functional genomics +
Matching Graphs by Pivoting +
Maximum Entropy Models for FrameNet Classification +
Max-Margin Markov Networks +
Maximizing the Spread of Influence Through a Social Network +
Methodologies, Tools and Languages for Building Ontologies. Where is their meeting point? +
Minimum Error Rate Training in Statistical Machine Translation +
Mining Data Records in Web Pages +
Mining the Peanut Gallery: Opinion extraction and semantic classification of product reviews +
Mining Topic-Specific Concepts and Definitions on the Web +
Modeling Annotated Data +
Modelling Binary Data, 2nd edition +
Natural Language Parsing: Graphs, the A* Algorithm, and Modularity +
Named Entity Recognition through Classifier Combination +
Named Entity Recognition with Character-level Models +
Novelty Detection: A Reviewâpart 1: Statistical Approaches +
On Kernel Methods for Relational Learning +
Ontologies for Enterprise Knowledge Management +
Ontologies Improve Text Document Clustering +
Ontology Learning and Its Application to Automated Terminology Translation +
Ontology Mapping: the State of the Art +
Order Statistics +
Overview of the TREC 2003 Question Answering Track +