- Statistical Morphological Tagging and Parsing of Korean with an LTAG Grammar
- Synonym-based Query Expansion and Boosting-based Re-ranking: A Two-phase Approach for Genomic Information Retrieval
- Deriving Information Structure from Prosodically Marked Text with Lexicalized Tree Adjoining Grammars
- Question Answering Summarization of Multiple Biomedical Documents
- Homotopy-based Semi-Supervised Hidden Markov Models for Sequence Labeling
- Abney, S. 2002. Bootstrapping. In Proceedings of ACL-2002. Abney, S. 2004. Understanding the Yarowsky Algorithm. Computational
- AnoopSarkar OnSabbaticalatU.ofEdinburgh(Informatics4.18b)
- CFLs
- Voting between Multiple Data Representations for Text Chunking
- Maintaining the Forest and Burning out the Underbrush in XTAG
- Active Learning for the Identification of Nonliteral Language Julia Birke and Anoop Sarkar
- Intimate Learning: A Novel Approach for Combining Labelled and Unlabelled Data
- Extensions of Regular Tree Grammars and their relation to Tree-Adjoining Grammars
- 11 Semi-supervised learning for Machine Translation
- Automatic Transliteration of Proper Nouns from Arabic to English Mehdi M. Kashani Fred Popowich Anoop Sarkar
- Transductive learning for statistical machine translation Nicola Ueffing
- Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts
- Comparing test-suite based evaluation and corpus-based evaluation of a wide-coverage grammar for English
- Description of SQUASH, the SFU Question Answering Summary Handler for the DUC-2006 Summarization Task
- Combining Structural and Statistical Information
- Semi-supervised learning for statistical machine translation
- Handling Coordination in a Tree Adjoining Anoop Sarkar and Aravind Joshi
- Experimental Evaluation of LTAG-based Features for Semantic Role Labeling
- STATISTICAL PARSING ALGORITHMS FOR LEXICALIZED TREE ADJOINING GRAMMARS
- Incremental Decoding for Phrase-based Statistical Machine Translation Baskaran Sankaran, Ajeet Grewal and Anoop Sarkar
- Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
- An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
- Exploration of the LTAG-Spinal Formalism and Treebank for Semantic Role Labeling
- Lexicalized Tree-adjoining Grammar applied to Semantic Role Labeling
- Semi-supervised model adaptation for statistical machine translation
- Analysis of Semi-Supervised Learning with the Yarowsky Algorithm GholamReza Haffari and Anoop Sarkar
- Experimental Evaluation of LTAG-based Features for Semantic Role Labeling
- Inductive Semi-supervised Learning with Applicability to NLP
- Using LTAG-Based Features for Semantic Role Labeling Yudong Liu and Anoop Sarkar
- Parsing with Tree-Adjoining Anoop Sarkar
- Description of SQUASH, the SFU Question Answering Summary Handler for the DUC-2005 Summarization Task
- Discriminative Reranking for Machine Translation Dept. of Comp. & Info. Science
- Bootstrapping Statistical Parsers from Small Datasets Mark Steedman
- A note on typing feature structures Shuly Wintner
- Structured Language Modeling using Stochastic Tree Adjoining Grammars
- Conditions on Consistency of Probabilistic Tree Adjoining Grammars
- HandlingCoordinationinTreeAdjoiningGrammars AnoopSarkar
- Coordination in Tree Adjoining Grammars: Formalization and Implementation
- Incremental Parser Generation for Tree Adjoining Grammars
- Incremental Parser Generation for Tree Adjoining Anoop Sarkar
- The Relevance of Recognizable Sets Written Preliminary Exam II
- Non-isomorphic Mappings in Synchronous Derivations
- EXTENDING KIMMO'S TWO-LEVEL MODEL OF Anoop Sarkar
- A Clustering Approach for the Nearly Unsupervised Recognition of Nonliteral Language
- UNIVERSITY OF PENNSYLVANIA: DESCRIPTION OF THE UNIVERSITY OF PENNSYLVANIA
- Incremental Parser Generation for Tree Adjoining Grammars Anoop Sarkar
- Pre x Probabilities for Linear Indexed Grammars
- Active Learning for Multilingual Statistical Machine Translation Gholamreza Haffari and Anoop Sarkar
- Active Learning for Multilingual Statistical Machine Translation Gholamreza Haffari and Anoop Sarkar
- Simultaneous Identification of Biomedical Named-Entity and Functional Relations Using Statistical Parsing Techniques
- COMBINING LABELED AND UNLABELED DATA IN STATISTICAL NATURAL LANGUAGE PARSING
- Combining Supertagging and Lexicalized Tree-Adjoining Grammar Parsing
- Computational Constraints on Linguistic Descriptions
- Evolution of the XTAG System Christine Doran Beth Ann Hockey Anoop Sarkar
- Analysis of Semi-Supervised Learning with the Yarowsky Gholamreza Haffari , Anoop Sarkar
- Active Learning for Statistical Phrase-based Machine Translation Gholamreza Haffari and Maxim Roy and Anoop Sarkar
- A Probabilistic Head-corner Chart Parser for Tree Adjoining Grammars
- Training Global Linear Models for Chinese Word Segmentation
- STATISTICAL PARSING ALGORITHMS FOR LEXICALIZED TREE ADJOINING GRAMMARS
- Inductive Semi-supervised Learning with Applicability to NLP
- 1 Synchronous Tree Adjoining Grammars SynchronousTAGsare avariantof TAGsintroduced by[Sheiber and Schabes, 1990]
- Exploiting Rich Syntactic Information for Relation Extraction from Biomedical Articles
- Training a Perceptron with Global and Local Features for Chinese Word Segmentation
- Final Report of Johns Hopkins 2003 Summer Workshop on Syntax for Statistical Machine Translation
- Tutorial on Corpus-based Natural Language Processing Anna University, Chennai, India. December, 2001
- COMBINING LABELED AND UNLABELED DATA IN STATISTICAL NATURAL LANGUAGE PARSING
- Typing as a means for validating feature structures Anoop Sarkar and Shuly Wintner
- Pre x Probabilities from Stochastic Tree Adjoining Grammars Mark-Jan Nederhof
- Bayesian Extraction of Minimal SCFG Rules for Hierarchical Phrase-based Translation
- "author-wrapper" --2011/9/30 --21:22 --page i --#1 1.1 Parsing Natural Language 1
