Papers for Relevance Assessment by Katja Markert

Research Question: How well can classical inference engines, namely theorem proving and model building, be adapted for solving the textual entailment problem?

Paper ID
(Link to PDF)

Title

Author(s)

Lev

Solving logic puzzles: From robust processing to precise semantics

Iddo Lev, Bill MacCartney, Christopher Manning and Roger Levy

W02-1806

PCFG Parsing for Restricted Classical Chinese Texts

Liang Huang; Yinan Peng; Huan Wang; Zhenyu Wu

J03-2002

Implementing the Binding and Accommodation Theory for Anaphora Resolution and Presupposition Projection

Johan Bos

79_Paper

Inferring Sentence-internal Temporal Relations

Mirella Lapata and Alex Lascarides

P96-1048

Using Textual Clues to Improve Metaphor Processing

Stephane Ferrari

P93-1028

A LOGICAL SEMANTICS FOR NONMONOTONIC SORTS

Mark A. Young and Bill Rounds

C69-7501

SOME REMARKS ON J. L. MEY's PAPER (Preprint No. 20)

P. Sgall; E. Hajicova

W05-1208

A Probabilistic Setting and Lexical Coocurrence Model for Textual Entailment

Oren Glickman; Ido Dagan

C02-1067

An Inference-based Approach to Dialogue System Design

Johan Bos; Tetsushi Oka

T78-1030

ON REASONING BY DEFAULT

Raymond Reiter

57-873

A Formal Model for Information Selection in Multi-Sentence Text Extraction

Elena Filatova and Vasileios Hatzivassiloglou

W03-0906

Entailment, intensionality and text understanding

Cleo Condoravdi; Dick Crouch; Valeria de Paiva; Reinhard Stolle; Daniel G. Bobrow

W98-0708

Linking WordNet Verb Classes to Semantic Interpretation

Fernando Gomez

W05-1207

Discovering Entailment Relations Using “Textual Entailment Patterns”

Fabio Massimo Zanzotto; Maria Teresa Pazienza; Marco Pennacchiotti

P90-1028

ALGORITHMS FOR GENERATION IN LAMBEK THEOREM PROVING

van der Linden, Erik-Jan; Minnen, Guido