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Learning Extraction Patterns for Subjective Expressions
This paper presents a bootstrapping process that learns linguistically rich extraction patterns for subjective (opinionated) expressions. High-precision classifiers label unannotated data toExpand
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Sarcasm as Contrast between a Positive Sentiment and Negative Situation
A common form of sarcasm on Twitter consists of a positive sentiment contrasted with a negative situation. For example, many sarcastic tweets include a positive sentiment, such as “love” or “enjoy”,Expand
  • 327
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Automatically Generating Extraction Patterns from Untagged Text
  • E. Riloff
  • Computer Science
  • AAAI/IAAI, Vol. 2
  • 4 August 1996
Many corpus-based natural language processing systems rely on text corpora that have been manually annotated with syntactic or semantic tags. In particular, all previous dictionary constructionExpand
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OpinionFinder: A System for Subjectivity Analysis
OpinionFinder is a system that performs subjectivity analysis, automatically identifying when opinions, sentiments, speculations, and other private states are present in text. Specifically,Expand
  • 491
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Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping
Information extraction systems usually require two dictionaries: a semantic lexicon and a dictionary of extraction patterns for the domain. We present a multilevel bootstrapping algorithm thatExpand
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A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts
This paper describes a bootstrapping algorithm called Basilisk that learns high-quality semantic lexicons for multiple categories. Basilisk begins with an unannotated corpus and seed words for eachExpand
  • 386
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Automatically Constructing a Dictionary for Information Extraction Tasks
Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionary that requires aExpand
  • 501
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Creating Subjective and Objective Sentence Classifiers from Unannotated Texts
This paper presents the results of developing subjectivity classifiers using only unannotated texts for training. The performance rivals that of previous supervised learning approaches. In addition,Expand
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Learning subjective nouns using extraction pattern bootstrapping
We explore the idea of creating a subjectivity classifier that uses lists of subjective nouns learned by bootstrapping algorithms. The goal of our research is to develop a system that can distinguishExpand
  • 507
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Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs
We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two properties associatedExpand
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