Dependency-based paraphrasing for recognizing textual entailment

A body restraint system (30) allows the user's body (10) to be in the zero gravity neutral posture. The system (30) includes a waist restraint (32) in the form of a curved, padded unit (34) containing a retractable belt (36) coiled on a spring loaded capstan (38) with a buckle (40) extending from front (42) of the unit (34). A second belt (44) is fastened around the user's waist (16). A clasp (46) is configured to engage the buckle (40). The waist restraint (32) is positioned near foot restraints (52). The foot restraints (52) have foot platforms (59) with pads (60) of a suitable two part attaching material, such as the fasteners available from Minnesota Mining and Manufacturing Company under the trademark Scotchmate Duallock. A mating pad (62) of the material is provided on soles (64) of cotton net shoes (66).

• Publication year

  2007

• Venue

  ACL-PASCAL@ACL

• Publication date

  2007-06-28

• Fields of study

  Computer Science

• Identifiers
  DOI 10.3115/1654536.1654554
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Toward Dependency Path based Entailment

  2006cited by this paper
• Paraphrase Substitution for Recognizing Textual Entailment

  2006cited by this paper
• The Second PASCAL Recognising Textual Entailment Challenge

  2006cited by this paper
• Normalized alignment of dependency trees for detecting textual entailment

  2006cited by this paper
• Robust Textual Inference using Diverse Knowledge Sources

  2005cited by this paper
• An Inference Model for Semantic Entailment in Natural Language

  2005cited by this paper
• Recognizing Textual Entailment with LCC’s G ROUNDHOG System

  2005cited by this paper
• Dependency-Based Evaluation of Minipar

  2003cited by this paper
• Discovery of inference rules for question-answering

  2001influential reference
• A Maximum Entropy Approach to Identifying Sentence Boundaries

  1997cited by this paper
• Alignment of Shared Forests for Bilingual Corpora

  1996cited by this paper

• Inférences textuelles et constructions à verbes supports

  2022cites this paper
• Mutual Implication as a Measure of Textual Equivalence

  2021cites this paper
• Paraphrasing Identification Techniques in English and Arabic Texts

  2020cites this paper
• Two-step cascaded textual entailment for legal bar exam question answering

  2017cites this paper
• Natural Language Processing and Machine Learning Techniques in Real World (Law and Health)

  2017cites this paper
• Constructing lexicons of relational phrases

  2017cites this paper
• Identification of textual entailments in business rules

  2016cites this paper
• Question Answering of Bar Exams by Paraphrasing and Legal Text Analysis

  2016cites this paper
• Recognizing Textual Entailment by Soft Dependency Tree Matching

  2015cites this paper
• Applying a Convolutional Neural Network to Legal Question Answering

  2015cites this paper
• A Convolutional Neural Network in Legal Question Answering

  2015cites this paper
• Using Legal Ontologies with Rules for Legal Textual Entailment

  2015cites this paper
• Legal Question Answering Using Ranking SVM and Syntactic/Semantic Similarity

  2014cites this paper
• Sentence extraction in recognition textual entailment task

  2014cites this paper
• Methods for measuring semantic similarity of texts

  2014influential citation
• Answering Yes/No Questions in Legal Bar Exams

  2013cites this paper
• Automatic Induction of Background Knowledge Axioms for Recognising Textual Entailment

  2012cites this paper
• Thai Sentence Paraphrasing from the Lexical Resource

  2012cites this paper
• Word meaning in context: a probabilistic model and its application to question answering

  2011cites this paper
• Intrinsic and extrinsic approaches to recognizing textual entailment

  2011cites this paper
• Parameterizing phrase based statistical machine translation models: an analytic study

  2011cites this paper
• Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering

  2010cites this paper
• Inference Rules and their Application to Recognizing Textual Entailment

  2009cites this paper
• Inference Rules for Recognizing Textual Entailment

  2009cites this paper
• A machine learning approach to textual entailment recognition

  2009cites this paper
• Multi-word expressions in textual inference: Much ado about nothing?

  2009cites this paper
• Extracting paraphrase patterns from bilingual parallel corpora

  2009cites this paper
• TE4AV: Textual Entailment for Answer Validation

  2008influential citation
• Workshop: Application of LCC's GROUNDHOG System for RTE-4

  2008cites this paper
• Answering questions with authority

  2008cites this paper
• Discourse oriented summarization

  2008cites this paper
• Making Text Resources Accessible to the Reader: the Case of Patent Claims

  2008cites this paper