AAAI 2007 is now going on at Vancouver. Here is my selection of NLP and Learning papers I would like to know more about.
Deriving a Large-Scale Taxonomy from Wikipedia, Simone Paolo Ponzetto, Michael Strube
Relation Extraction from Wikipedia Using Subtree Mining, Dat P. T. Nguyen, Yutaka Matsuo, Mitsuru Ishizuka
Finding Related Pages Using Green Measures: An Illustration with Wikipedia, Yann Ollivier, Pierre Senellart
Graph Partitioning Based on Link Distributions, Bo Long, Mark (Zhongfei) Zhang, Philip S. Yu
Semi-supervised Learning by Mixed Label Propagation, Wei Tong, Rong Jin
Semi-Supervised Learning with Very Few Labeled Training Examples, Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang
Clustering with Local and Global Regularization, Fei Wang, Changshui Zhang, Tao Li
Isometric Projection, Deng Cai, Xiaofei He, Jiawei Han
Improving Similarity Measures for Short Segments of Text, Wen-tau Yih, Christopher Meek
Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation, Gaël Dias, Elsa Alves. José Gabriel Pereira Lopes
Robust Estimation of Google Counts for Social Network Extraction, Yutaka Matsuo, Hironori Tomobe, Takuichi Nishimura
Harvesting Relations from the Web - Quantifiying the Impact of Filtering Functions, Sebastian Blohm, Philipp Cimiano, Egon Stemle
Template-Independent News Extraction Based on Visual Consistency, Shuyi Zheng, Ruihua Song, Ji-Rong Wen
Comprehending and Generating Apt Metaphors: A Web-driven, Case-based Approach to Figurative Language, Tony Veale, Yanfen Hao
Mobile Service for Reputation Extraction from Weblogs - Public Experiment and Evaluation, Takahiro Kawamura, Shinichi Nagano, Masumi Inaba, Yumiko Mizoguchi
The Impact of Time on the Accuracy of Sentiment Classifiers Created from a Web Log Corpus, Kathleen T. Durant, Michael D. Smith
Nectar: Learning by Combining Observations and User Edits, Vittorio Castelli, Lawrence Bergman, Daniel Oblinger
Multi-Label Learning by Instance Differentiation, Min-Ling Zhang, Zhi-Hua Zhou
Extracting Influential Nodes for Information Diffusion on a Social Network, Masahiro Kimura, Kazumi Saito, Ryohei Nakano
Temporal and Information Flow Based Event Detection from Social Text Streams, Qiankun Zhao, Prasenjit Mitra, Bi Chen
Analyzing Reading Behavior by Blog Mining, Tadanobu Furukawa, Mitsuru Ishizuka, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama
Monday, July 23, 2007
Readings from AAAI 2007
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Delip Rao
at
3:56 PM
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Principal Components: "AAAI 2007", "machine learning", NLP, reading list
Wednesday, July 18, 2007
Reading List from KDD 2007
KDD 2007 will be on Aug 12-15 in the neighborhood at San Jose. Here is my selection:
"Extracting Semantic Relations from Query Logs", Ricardo Baeza-Yates and Alessandro Tiberi
"Efficient Incremental Clustering with Constraints", Ian Davidson, S.S. Ravi, and Martin Ester
"A Probabilistic Framework for Relational Clustering", Bo Long, Zhongfei Zhang, and Philip S. Yu
"Tracking Multiple Topics for Finding Interesting Articles", Raymond Pon, Alfonso Cardenas, David Buttler, and Terence Critchlow
"Feature Selection Methods for Text Classification", Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, and Michael Mahoney
"Hierarchical Mixture Models: a Probabilistic Analysis", Mark Sandler
"Information distance from a question to an answer", Xian Zhang, Yu Hao, Xiaoyan Zhu, and Ming Li
"Statistical Change Detection for Multi-Dimensional Data", Xiuyao Song, Mingxi Wu, Chris Jermaine, and Sanjay Ranka
"Constraint-Driven Clustering", Rong Ge, Martin Ester, Wen Jin, and Ian Davidson
"Enhancing Semi-Supervised Clustering: A Feature Projection Perspective", Wei Tang, Hui Xiong, Shi Zhong, and Jie Wu
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Delip Rao
at
12:57 PM
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Principal Components: data mining, KDD, learning, reading list, research
Thursday, June 7, 2007
UMASS Statistical NLP reading list
http://ciir.cs.umass.edu/~fuchun/readlist_all/readlist.pdf
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Delip Rao
at
1:35 PM
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Principal Components: NLP, reading list
Monday, April 30, 2007
Reading List from EMNLP 2007
A GRAPH-BASED APPROACH TO NAMED ENTITY CATEGORIZATION IN WIKIPEDIA
USING CONDITIONAL RANDOM FIELDS
Yotaro Watanabe, Masayuki Asahara and Yuji Matsumoto
A TOPIC MODEL FOR WORD SENSE DISAMBIGUATION
Jordan Boyd-Graber, Xiaojin Zhu and David Blei
BOOTSTRAPPING INFORMATION EXTRACTION FROM FIELD BOOKS
Sander Canisius and Caroline Sporleder
CROSS-LINGUAL DISTRIBUTIONAL PROFILES OF CONCEPTS FOR MEASURING
SEMANTIC DISTANCE
Saif Mohammad, Iryna Gurevych, Graeme Hirst and Torsten Zesch
CRYSTAL: ANALYZING PREDICTIVE OPINIONS ON THE WEB
Soo-Min Kim and Eduard Hovy
EXPLORATIONS IN AUTOMATIC BOOK SUMMARIZATION
Rada Mihalcea and Hakan Ceylan
LARGE SCALE NAMED ENTITY DISAMBIGUATION BASED ON WIKIPEDIA DATA
Silviu Cucerzan
LEXICAL SEMANTIC RELATEDNESS WITH RANDOM GRAPH WALKS
Thad Hughes and Daniel Ramage
TOWARDS ROBUST UNSUPERVISED PERSONAL NAME DISAMBIGUATION
Ying Chen and James Martin
WORD SENSE DISAMBIGUATION INCORPORATING LEXICAL AND STRUCTURAL SEMANTIC
INFORMATION
Takaaki Tanaka, Francis Bond, Timothy Baldwin, Sanae Fujita and Chikara
Hashimoto
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Delip Rao
at
1:33 PM
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Principal Components: reading list, todo