Papers
Adaptive Language Modeling for Word Prediction
Keith Trnka
Adaptive Martingale Boosting
Phil Long, Rocco Servedio
Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux, Alain D. Cheveigné, Lucas C. Parra
Adding Redundant Features for CRFs-based Sentence Sentiment Classification
Jun Zhao, Kang Liu, Gen Wang
A Deductive Approach to Dependency Parsing
Carlos Gómez-Rodríguez, John Carroll, David Weir
A Dependency-based Word Subsequence Kernel
Rohit Kate
Ad Hoc Treebank Structures
Markus Dickinson
A Discourse Resource for Turkish: Annotating Discourse Connectives in the METU Corpus
Deniz Zeyrek, Bonnie Webber
A Discriminative Alignment Model for Abbreviation Recognition
Naoaki Okazaki, Sophia Ananiadou, Jun’ichi Tsujii
A Discriminative Approach to Japanese Abbreviation Extraction
Naoaki Okazaki, Mitsuru Ishizuka, Jun’ichi Tsujii
A Discriminative Candidate Generator for String Transformations
Naoaki Okazaki, Yoshimasa Tsuruoka, Sophia Ananiadou et al.
A Discriminative Latent Variable Model for Statistical Machine Translation
Phil Blunsom, Trevor Cohn, Miles Osborne
A Document Graph Based Query Focused Multi-Document Summarizer
Sibabrata Paladhi, Sivaji Bandyopadhyay
A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking
Tomoya Iwakura, Seishi Okamoto
A Fluid Knowledge Representation for Understanding and Generating Creative Metaphors
Tony Veale, Yanfen Hao
A Framework Based on Graphical Models with Logic for Chinese Named Entity Recognition
Xiaofeng Yu, Wai Lam, Shing-Kit Chan
A Framework for Identifying Textual Redundancy
Kapil Thadani, Kathleen McKeown
A Fully-Lexicalized Probabilistic Model for Japanese Zero Anaphora Resolution
Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi
A general framework for investigating how far the decoding process in the brain can be simplified
Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi et al.
A Generative Model for Parsing Natural Language to Meaning Representations
Wei Lu, Hwee Tou Ng, Wee Sun Lee et al.
A Generic Sentence Trimmer with CRFs
Tadashi Nomoto
Aggregating Machine Learning and Rule Based Heuristics for Named Entity Recognition
Karthik Gali, Harshit Surana, Ashwini Vaidya et al.
Aggregation of SVM Classifiers Using Sobolev Spaces
Sébastien Loustau