Abstract

We introduce a new formal semantic model for annotating textual entailments that describes restrictive, intersective, and appositive modification. The model contains a formally defined interpreted lexicon, which specifies the inventory of symbols and the supported semantic operators, and an informally defined annotation scheme that instructs annotators in which way to bind words and constructions from a given pair of premise and hypothesis to the interpreted lexicon. We explore the applicability of the proposed model to the Recognizing Textual Entailment (RTE) 1–4 corpora and describe a first-stage annotation scheme on which we based the manual annotation work. The constructions we annotated were found to occur in 80.65% of the entailments in RTE 1–4 and were annotated with cross-annotator agreement of 68% on average. The annotated parts of the RTE corpora are publicly available for further research.

Highlights

  • The Recognizing Textual Entailment (RTE) challenges (Dagan et al 2006) aim to assess a system’s ability to automatically determine whether an entailment relation obtains between a naturally occur-LiLT Volume 9 Perspectives on Semantic Representations for Textual Inference

  • The model we propose in this work diverges from these approaches in two respects: (a) its first goal is to develop gold standard semantic annotations based on a general formal semantic model; (b) it does not aim to represent phenomena that are not accounted for in this model

  • We have described an on-going attempt to establish a model for analyzing entailment data as specified in the RTE challenges

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Summary

Introduction

The Recognizing Textual Entailment (RTE) challenges (Dagan et al 2006) aim to assess a system’s ability to automatically determine whether an entailment relation obtains between a naturally occur-. We aim to contribute toward creating a benchmark for modeling entailment recognition We presume that this goal is to be achieved incrementally by modeling increasingly complex semantic phenomena. To this end, we employ a standard model-theoretic approach to entailment that allows combining gold standard annotations with a computational framework. In the course of the development of this model, a narrower annotation scheme was adopted In this scheme, modification phenomena were annotated in all valid entailment pairs from RTE 1–4 without accounting for the way in which the annotated phenomena contributed to the inference being made.

Related Work
Theoretical background and RTE examples
Semantic essentials
An interpreted lexicon
Analyzing entailments using the interpreted lexicon
Phenomena Simplification
Pair 2 T2
Current Annotation Scheme
Phenomena Annotated
Marking Annotations
Statistics
Consistency Checks
Annotation Platform
Connection to the interpreted lexicon approach
Findings
Conclusions

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