Osama El Demerdash, Leila Kosseim, Sabine Bergler
This paper presents our participation at the ImageCLEFPhoto 2008 task. We submitted six runs, experimenting with our own block-based visual retrieval as well as with query expansion. The results we...
Shallow Semantics for Textual Entailment Determination (2009)
Alina Andreevskaia, Zhuoyan Li, Sabine Bergler
This paper analyses the contribution of shallow syntactic matching and thesaurus based equivalence in determining semantic equivalence of a pair of sentences. The performance of this approach is...
linguistically motivated perspective (2009)
Bmc Bioinformatics, Halil Kilicoglu, Sabine Bergler
This is an open access article distributed under the terms of the Creative Commons Attribution License
The Counselor Project at the Un/versity of Massachusetts (2008)
David D. Mcdonald, James D. Pustejowky, Kevin Getllagher, Joann M. Brooks, John Brolio, Sabine Bergler, ...
The COUNSELOR PROJECT began in the fall of 1984 with the goal of exploring basic problems in discourse structure and text processing within an integrated interface to a strong expert system. The...
Interactive Retrieval Using Weights (2008)
Jonathan Schuman, Sabine Bergler
Using the same interactive IR component as for TREC 2006, this submission probed the ability of a user without requisite domain knowledge to interactively set appropriate weights. The weighted...
Abstract Multi-ERSS and ERSS 2004 (2008)
Sabine Bergler, René Witte, Zhuoyan Li, Michelle Khalifé, Yunyu Chen, Monia Do, ...
Last year, we presented a system, ERSS, which constructed 10 word summaries in form of a list of noun phrases. It was based on a knowledge-poor extraction of noun phrase coreference chains...
Verantwortlicher Betreuer: (2008)
Automatische Analyse Und, Ralf Krestel, Peter C. Lockemann, Betreuender Mitarbeiter, ...
Ich erkläre hiermit, dass ich die vorliegende Arbeit selbständig verfasst und keine anderen als die angegebenen Quellen und Hilfsmittel verwendet habe.
Kilicoglu, Halil, Bergler, Sabine
Abstract Background Due to the nature of scientific methodology, research articles are rich in speculative and tentative statements, also known as hedges. We explore a linguistically motivated...
Developing AMIE: an Adaptive Multimedia Integrated Environment (2008)
Osama El Demerdash, Sabine Bergler, Leila Kosseim, Pk Langshaw
Abstract. Large multimedia repositories can be used more effectively by providing a hybrid environment for accomplishing common tasks, such as searching, browsing, presenting and indexing of the...
Indexing Low Frequency Information for Question Answering (2008)
Abolfazl Keighobadi Lamjiri, Julien Dubuc, Leila Kosseim, Sabine Bergler
This paper presents our experiments with a low-frequency approach to information retrieval for question answering over a small, closed domain corpus and a variety of question types. With a corpus of...
Processing of Beliefs extracted from Reported Speech in Newspaper Articles (2008)
Ralf Krestel, René Witte, Sabine Bergler
The growing number of publicly available information sources makes it impossible for individuals to keep track of all the various opinions on one topic. The goal of our artificial believer system...
Osama El Demerdash, Leila Kosseim, Sabine Bergler
We present our participation in the 2007 ImageCLEF Ad-hoc photographic retrieval task. Our first participation in this year’s imageCLEF comprised six runs. The main purpose of three of these runs...
Creating a Fuzzy Believer to Model Human Newspaper Readers (2008)
Ralf Krestel, René Witte, Sabine Bergler
Abstract. We present a system capable of modeling human newspaper readers. It is based on the extraction of reported speech, which is subsequently converted into a fuzzy theory-based representation...
Generating Adaptive Multimedia Presentations Based on a Semiotic Framework (2008)
Osama El Demerdash, Sabine Bergler, Leila Kosseim, Pk Langshaw
Abstract. We propose a framework for generating adaptive multimedia presentations through the dynamic selection of files from a large data repository. The presentation is generated based on the...
Indexing Low Frequency Information for Question Answering (2008)
Abolfazl Keighobadi Lamjiri, Julien Dubuc, Leila Kosseim, Sabine Bergler
This paper presents our experiments with a low-frequency approach to information retrieval for question answering over a small, closed domain corpus and a variety of question types. With a corpus of...
The Aspectual Type BEGIN (2007)
Mariana Damova, Sabine Bergler
This paper deals with the notion of aspect as it is understood in the eventuality structure based formal approaches to aspect. These approaches typically link aspect to the interpretation of the...
Metonymy and Metaphor Boundary Cases and the Role of a Generative Lexicon (2007)
Recently, principled treatments of metonymy based on the structure of the lexicon have been proposed. This paper addresses the question whether these structure based approaches to metonymy resolution...
2. Segmentation Centre for Pattern Recognition and Machine Intelligence (2007)
Sabine Bergler, Ching Y. Suen, Christine Nadal, Nicola Nobile, Boulos Waked, Alan Bloch, ...
Fuzzy Clustering for Topic Analysis and Summarization of Document Collections (2007)
Abstract. Large document collections, such as those delivered by Internet search engines, are difficult and time-consuming for users to read and analyse. The detection of common and distinctive...
Mining WordNet for Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses (2006)
Alina Andreevskaia, Sabine Bergler
Many of the tasks required for semantic tagging of phrases and texts rely on a list of words annotated with some semantic features. We present a method for extracting sentiment-bearing adjectives...
A general literature navigation system at TREC Genomics 2006 (2006)
Sabine Bergler, Jonathan Schuman, Julien Dubuc, R Lebedev
We present the passage reranking component of a general literature navigation system. Based on weighted keyword scoring without automatic enhancements such as term expansion, the system performed...
Semantic Tag Extraction from WordNet Glosses (2006)
Alina Andreevskaia, Sabine Bergler
We propose a method that uses information from WordNet glosses to assign semantic tags to individual word meanings, rather than to entire words. The produced lists of annotated words will be used in...
Bergler: ”Can shallow predicate argument structures determine entailment (2005)
Alina Andreevskaia, Zhuoyan Li, Sabine Bergler
The CLaC Lab’s system for the PAS-CAL RTE challenge explores the potential of simple general heuristics and a knowledge-poor approach for recognising paraphrases, using NP coreference, NP chunking,...
Using knowledge-poor coreference resolution for text summarization (2003)
Sabine Bergler, René Witte, Michelle Khalife, Zhuoyan Li, Frank Rudzicz
We present a system that produces 10-word summaries based on the single summarization strategy of outputting noun phrases representing the most important text entities (as represented by noun phrase...
Coreference patterns in the wall street journal (1996)
We describe the analysis of coreference patterns of 79 Wall Street Journal articles. Of 4999 reference chains, only 1048 contain more than one NP and thus involve resolution. Those 1048 chains...
From Lexical Semantics to Text Analysis (1995)
One of the major challenges today is coping with an overabundance of potentially important information. With newspapers such as the Wall Street Journal available electronically as a large text data...
Generative Lexicon Principles for Machine Translation: A Case for Meta-Lexical Structure (1995)
Abstract. This paper addresses two types of mismatches in the translation of reported speech between German and English. The first mismatch is between the repeated use of the reported speech...
Semantic dimensions in the field of reporting verbs (1993)
This paper proposes a methodology to detect the semantic dimensions along which members of a semantic field are distinguished. The notion of semantic fields, while often assumed, has not to date been...
The semantics of collocational patterns for reporting verbs (1991)
One of the hardest problems for knowledge extraction from machine readable textual sources is distinguishing entities and events that are part of the main story from those that are part of the...