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Unsupervised
Semantic acquisition:
Dmitry
Davidov, Roi Reichart, Ari Rappoport. Superior and
Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an
Unsupervised Parser. Computational
Natural Language Learning (CoNLL) 2009. (pdf)
-This work
deals with incorporation of unsupervised parser into fully unsupervised
concept acquisition framework
Elad Dinur,
Dmitry Davidov, Ari Rappoport. Unsupervised Concept Discovery In Hebrew
Using Simple Unsupervised Word Prefix Segmentation for Hebrew and Arabic. EACL 2009 Workshop on Computational
Approaches to Semitic Languages (pdf)
-This work
describes incorporation of unsupervised word prefix segmentation into fully
unsupervised concept acquisition framework
Dmitry
Davidov, Ari Rappoport.
Classification of Semantic Relationships between Nominals Using Pattern
Clusters. Accepted as a full oral presentation, ACL 2008. (pdf)
-This work
describes application of unsupervisingly acquired pattern clusters to
nominal classification
Dmitry
Davidov, Ari Rappoport.
Unsupervised Discovery of Generic Relationships Using Pattern Clusters and
its Evaluation by Automatically Generated SAT Analogy Questions. Accepted
as a full oral presentation, ACL 2008.
(pdf)
-This work
presents a way to define unspecified relationships as pattern clusters and
to obtain such clusters automatically from corpus without relying on any
kind of language-specific information or training data.
Dmitry
Davidov, Ari Rappoport, Moshe Koppel . Fully Unsupervised
Discovery of Concept-Specific Relationships by Web Mining. Proceedings, ACL 2007, June 2007,
Prague. (pdf)
- This
work describes web-based discovery and extraction of unspecified
concept-specific relationships from web starting with a few seed words as
concept definition.
Dmitry
Davidov, Ari Rappoport.
Efficient Unsupervised Discovery of Word Categories Using Symmetric
Patterns and High Frequency Words. COLING-ACL 06.(pdf)
- This
work describes completely unsupervised pattern-based acquisition of lexical
categories from text corpora. The method based solely on symmetry property
of language and does not require any word/pattern seeds.
Multilinguality:
Dmitry
Davidov, Ari Rappoport.
Enhancement of Lexical Concepts Using Cross-lingual Web Mining. EMNLP 2009. (pdf)
-This work
presents a way to enhance lexical concepts by discovery and utilization of
the information available for the given concept in many languages
Dmitry
Davidov, Ari Rappoport..
Translation and Extension of Concepts Across Languages. EACL 2009. (pdf)
-This work
describes fully automated and language-independent translation and
extension of concepts evaluated on dozens of diverse languages
Discovery
of specific relationship types:
Dmitry
Davidov, Ari Rappoport.
Geo-mining: Discovery of Road and Transport Networks Using Directional
Patterns. EMNLP 2009.
(pdf)
-This
paper presents an an algorithmic framework which allows an automated
acquisition of map-like information from the web, based on surface patterns
like “from X to Y”
Linguistic
data sets generation:
Dmitry
Davidov, Evgeniy Gabrilovich,
Shaul Markovitch:
Parameterized generation of labeled datasets for text categorization based
on a hierarchical directory. SIGIR
2004: 250-257(pdf)
- This
work describes automated generation of data sets for text classification
based on open directory database.
Heuristics
& algorithms:
Dmitry
Davidov and Shaul
Markovitch. Multiple-goal Heuristic Search. Journal of Artificial
Intelligence Research, 26:417-451, 2006[pdf]
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- This
work includes extensive research on multiple-goal search algorithms, their
performance and applications
Dmitry
Davidov, Shaul Markovitch:
Multiple-Goal Search Algorithms and their Application to Web Crawling. AAAI/IAAI
2002: 713-718.[pdf
]
- This
work develops and evaluates heuristics and algorithms for multiple-goal
graph search when many goal nodes are to be collected simultaneously.
My M.A.
thesis on Multiple Goal Search algorithms [pdf,English]
and its Hebrew summary[doc ]
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