Relation Extraction using Distant Supervision, SVMs, and Probabilistic First Order Logic

Computer Science Department School of Computer Science Master’s of Science in Computer Science Relation Extraction using Distant Supervision, SVMs, and Probabilistic First Order Logic

[1]  Christopher K. Riesbeck,et al.  Comprehension by computer : expectation-based analysis of sentences in context , 1976 .

[2]  Richard Granger,et al.  FOUL-UP: A Program that Figures Out Meanings of Words from Context , 1977, IJCAI.

[3]  Wendy Grace Lehnert,et al.  The Process of Question Answering , 2022 .

[4]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[5]  Philip J. Hayes,et al.  Automatic Extraction of Facts from Press Releases to Generate News Stories , 1992, ANLP.

[6]  Ralph Grishman,et al.  Message Understanding Conference- 6: A Brief History , 1996, COLING.

[7]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[8]  Nancy Chinchor,et al.  Overview of MUC-7 , 1998, MUC.

[9]  Sebastian Thrun,et al.  Learning to Classify Text from Labeled and Unlabeled Documents , 1998, AAAI/IAAI.

[10]  Nancy A. Chinchor,et al.  Overview of MUC-7 , 1998, MUC.

[11]  Sergey Brin,et al.  Extracting Patterns and Relations from the World Wide Web , 1998, WebDB.

[12]  Katharina Morik,et al.  Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring , 1999, ICML.

[13]  Ellen Riloff Bootstrapping for text learning tasks , 1999 .

[14]  Mark Craven,et al.  Constructing Biological Knowledge Bases by Extracting Information from Text Sources , 1999, ISMB.

[15]  Christopher D. Manning,et al.  Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger , 2000, EMNLP.

[16]  Doug Downey,et al.  Web-scale information extraction in knowitall: (preliminary results) , 2004, WWW '04.

[17]  Ryan McDonald Extracting Relations from Unstructured Text , 2004 .

[18]  Doug Downey,et al.  Unsupervised named-entity extraction from the Web: An experimental study , 2005, Artif. Intell..

[19]  Christopher D. Manning,et al.  Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling , 2005, ACL.

[20]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[21]  Patrick Pantel,et al.  Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations , 2006, ACL.

[22]  Yorick Wilks,et al.  A Closer Look at Skip-gram Modelling , 2006, LREC.

[23]  Gerhard Weikum,et al.  WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .

[24]  Jens Lehmann,et al.  DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[25]  Ronen Feldman,et al.  Using Corpus Statistics on Entities to Improve Semi-supervised Relation Extraction from the Web , 2007, ACL.

[26]  J. Curran,et al.  Minimising semantic drift with Mutual Exclusion Bootstrapping , 2007 .

[27]  Praveen Paritosh,et al.  Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.

[28]  Oren Etzioni,et al.  Open Information Extraction from the Web , 2007, CACM.

[29]  Oren Etzioni,et al.  The Tradeoffs Between Open and Traditional Relation Extraction , 2008, ACL.

[30]  James R. Curran,et al.  Reducing Semantic Drift with Bagging and Distributional Similarity , 2009, ACL.

[31]  Estevam R. Hruschka,et al.  Populating the Semantic Web by Macro-reading Internet Text , 2009, SEMWEB.

[32]  Daniel Jurafsky,et al.  Distant supervision for relation extraction without labeled data , 2009, ACL.

[33]  Heng Ji,et al.  Overview of the TAC 2010 Knowledge Base Population Track , 2010 .

[34]  Daniel S. Weld,et al.  Learning 5000 Relational Extractors , 2010, ACL.

[35]  Valentin I. Spitkovsky,et al.  A Simple Distant Supervision Approach for the TAC-KBP Slot Filling Task , 2010, TAC.

[36]  Andrew McCallum,et al.  Modeling Relations and Their Mentions without Labeled Text , 2010, ECML/PKDD.

[37]  Estevam R. Hruschka,et al.  Toward an Architecture for Never-Ending Language Learning , 2010, AAAI.

[38]  Martin Hilbert,et al.  The World’s Technological Capacity to Store, Communicate, and Compute Information , 2011, Science.

[39]  Heeyoung Lee,et al.  Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task , 2011, CoNLL Shared Task.

[40]  Alessandro Moschitti,et al.  Joint Distant and Direct Supervision for Relation Extraction , 2011, IJCNLP.

[41]  Luke S. Zettlemoyer,et al.  Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations , 2011, ACL.

[42]  Alessandro Moschitti,et al.  End-to-End Relation Extraction Using Distant Supervision from External Semantic Repositories , 2011, ACL.

[43]  Hans Uszkoreit,et al.  Large-Scale Learning of Relation-Extraction Rules with Distant Supervision from the Web , 2012, International Semantic Web Conference.

[44]  Hiroshi Nakagawa,et al.  Reducing Wrong Labels in Distant Supervision for Relation Extraction , 2012, ACL.

[45]  Oren Etzioni,et al.  Open Language Learning for Information Extraction , 2012, EMNLP.

[46]  Stuart Adam Battersby,et al.  Experimenting with Distant Supervision for Emotion Classification , 2012, EACL.

[47]  Dietrich Klakow,et al.  Effective Slot Filling Based on Shallow Distant Supervision Methods , 2014, TAC.

[48]  Bonan Min Relation Extraction with Weak Supervision and Distributional Semantics , 2013 .

[49]  Le Zhao,et al.  Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction , 2013, ACL.

[50]  William Yang Wang,et al.  Programming with personalized pagerank: a locally groundable first-order probabilistic logic , 2013, CIKM.

[51]  Roger C. Schank,et al.  Conceptual Information Processing , 2014 .