Inferring the Scope of Speculation using Dependency Analysis

In the last few years speculation detection systems for biomedical texts have been developed successfully, most of them using machine-learning approaches. In this paper we present a system that finds the scope of speculation in English sentences, by means of dependency syntactic analysis. It infers which words are affected by speculation by browsing dependency syntactic structures. Thus, firstly an algorithm detects hedge cues a . Secondly the scope of these hedge cues is computed. We tested the system with the Bioscope corpus, annotated with speculation and obtaining competitive results compared with the state of the art systems. a The cue is defined as the lexical marker that expresses speculation, like might or may.

• Publication year

  2011

• Venue

  International Conference on Knowledge Discovery and Information Retrieval

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers
  DOI 10.5220/0003661502560261
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Memory-Based Resolution of In-Sentence Scopes of Hedge Cues

  2010cited by this paper
• The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text

  2010cited by this paper
• A Unified Framework for Scope Learning via Simplified Shallow Semantic Parsing

  2010cited by this paper
• Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules

  2010cited by this paper
• Detecting hedge cues and their scope in biomedical text with conditional random fields

  2010cited by this paper
• Learning the Scope of Hedge Cues in Biomedical Texts

  2009influential reference
• Detecting Speculations and their Scopes in Scientific Text

  2009cited by this paper
• The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts

  2008cited by this paper
• Inductive Dependency Parsing (Text, Speech and Language Technology)

  2006cited by this paper
• Inductive Dependency Parsing

  2006cited by this paper
• Dependency-Based Evaluation of Minipar

  2003influential reference

• No citing papers are available for this paper.