K. Markert

Publications
Influence

Learning Models for Object Recognition from Natural Language Descriptions

Josiah Wang, K. Markert, M. Everingham
Computer Science
BMVC
2009

We investigate the task of learning models for visual object recognition from natural language descriptions alone. Expand

Recognising Textual Entailment with Logical Inference

Johan Bos, K. Markert
Computer Science
HLT/EMNLP
6 October 2005

We use logical inference techniques for recognising textual entailment. As the performance of theorem proving turns out to be highly dependent on not readily available background knowledge, we… Expand

The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives for Arabic

Amal Al-Saif, K. Markert
Computer Science
LREC
1 May 2010

We present the first effort towards producing an Arabic Discourse Treebank,a news corpus where all discourse connectives are identified and annotated with the discourse relations they convey as well as with the two arguments they relate. Expand

Collective Classification for Fine-grained Information Status

K. Markert, Yufang Hou, Michael Strube
Computer Science
ACL
8 July 2012

We add a fine-grained information status layer to the Wall Street Journal portion of the OntoNotes corpus. Expand

Using the Web for Nominal Anaphora Resolution

K. Markert, M. Nissim, Natalia N. Modjeska
Computer Science
2003

We present a novel method for resolving non-pronominal anaphora. Instead of using handcrafted lexical resources, we search the Web with shallow patterns which can be predetermined for the type of… Expand

The Web Library of Babel: evaluating genre collections

S. Sharoff, Z. Wu, K. Markert
Computer Science
LREC
1 May 2010

We present experiments in automatic genre classification on web corpora, comparing a wide variety of features on several different genreannotated datasets (HGC, I-EN, KI-04, KRYS-I, MGC and SANTINIS). Expand

Syntactic Features and Word Similarity for Supervised Metonymy Resolution

M. Nissim, K. Markert
Computer Science
ACL
7 July 2003

We show that syntactic head-modifier relations are a high precision feature for metonymy recognition but suffer from data sparseness. Expand

Towards a Corpus Annotated for Metonymies: the Case of Location Names

K. Markert, M. Nissim
Computer Science
LREC
1 May 2002

We present a framework for annotating metonymies in domain-independent text that considers the regularity, productivity and underspecification of metonymic usage. Expand

Global Inference for Bridging Anaphora Resolution

Yufang Hou, K. Markert, Michael Strube
Computer Science
HLT-NAACL
1 June 2013

We present the first work on antecedent selection for bridging resolution without restrictions on anaphor or relation types and show that the variety of bridging anaphora is much higher than reported previously. Expand

Comparing Knowledge Sources for Nominal Anaphora Resolution

K. Markert, M. Nissim
Computer Science
Computational Linguistics
1 September 2005

We compare two ways of obtaining lexical knowledge for antecedent selection in other-anaphora and definite noun phrase coreference. Expand

Recommended Authors