Roget’s Thesaurus has not been sufficiently appreciated in Natural Language Processing. We show t... more Roget’s Thesaurus has not been sufficiently appreciated in Natural Language Processing. We show that Roget's and WordNet are birds of a feather. In a few typical tests, we compare how the two resources help measure semantic similarity. One of the benchmarks is Miller and Charles ’ list of 30 noun pairs to which human judges had assigned similarity measures. We correlate these measures with those computed by several NLP systems. The 30 pairs can be traced back to Rubenstein and Goodenough’s 65 pairs, which we have also studied. Our Roget’sbased system gets correlations of.878 for the smaller and.818 for the larger list of noun pairs; this is quite close to the.885 that Resnik obtained when he employed humans to replicate the Miller and Charles experiment. We further evaluate our measure by using Roget’s and Word-Net to answer 80 TOEFL, 50 ESL and 300 Reader’s Digest questions: the correct synonym must be selected amongst a group of four words. Our system gets 78.75%, 82.00 % and...
Abstract. Morris and Hirst [10] present a method of linking significant words that are about the ... more Abstract. Morris and Hirst [10] present a method of linking significant words that are about the same topic. The resulting lexical chains are a means of identifying cohesive regions in a text, with applications in many natural language processing tasks, including text summarization. The first lexical chains were constructed manually using Roget’s International Thesaurus. Morris and Hirst wrote that automation would be straightforward given an electronic thesaurus. All applications so far have used WordNet to produce lexical chains, perhaps because adequate electronic versions of Roget’s were not available until recently. We discuss the building of lexical chains using an electronic version of Roget’s Thesaurus. We implement a variant of the original algorithm, and explain the necessary design decisions. We include a comparison with other implementations. 1
This paper presents the steps involved in creating an electronic lexical knowledge base from the ... more This paper presents the steps involved in creating an electronic lexical knowledge base from the 1987 Penguin edition of Roget's Thesaurus. Semantic relations are labelled with the help of WordNet. The two resources are compared in a qualitative and quantitative manner. Differences in the organization of the lexical material are discussed, as well as the possibility of merging both resources.
The dynamic logic of each channel of a multichannel protection system for a nuclear power plant p... more The dynamic logic of each channel of a multichannel protection system for a nuclear power plant provides a trip logic path and a global bypass logic path by which pulse signals from a clock source may be transmitted to a dc-to-dc power converter which energizes the undervoltage coils for a pair of contactors in the reactor trip switchgear. Each of the logic paths is constructed of basic logic units which in turn, each include a toroidal core of rectangular hysteresis loop magnetic material having a control winding which must be energized by a dc current in order for pulses applied to an input winding to appear at an output winding. Blockage of pulses through any one of the serially connected basic logic units in a logic path terminates the flow of pulses to the converter through that logic path. The control windings of corresponding logic units of the trip logic path in each channel are energized by one of a set of redundant sensors which monitor one of a plurality of reactor trip p...
Abstract. This paper presents a system for bilingual information retrieval using commercial off-t... more Abstract. This paper presents a system for bilingual information retrieval using commercial off-the-shelf search engines (COTS). Several custom query construction, expansion and translation strategies are compared. We present the experiments and the corresponding results for the CLEF 2004 event. 1
Morris and Hirst [10] present a method of linking significant words that are about the same topic... more Morris and Hirst [10] present a method of linking significant words that are about the same topic. The resulting lexical chains are a means of identifying cohesive regions in a text, with applications in many natural language processing tasks, including text summarization. The first lexical chains were constructed manually using Roget's International Thesaurus. Morris and Hirst wrote that automation would be straightforward given an electronic thesaurus. All applications so far have used WordNet to produce lexical chains, perhaps because adequate electronic versions of Roget's were not available until recently. We discuss the building of lexical chains using an electronic version of Roget's Thesaurus. We implement a variant of the original algorithm, and explain the necessary design decisions. We include a comparison with other implementations.
A method and system to help photographers to take better quality pictures of landmarks and scenes... more A method and system to help photographers to take better quality pictures of landmarks and scenes are disclosed. A user is guided with examples of existing quality images, which are extracted from a database, of the same or similar landmarks or scenes. The method includes taking a query photograph that may include an image associated with a GPS location and other metadata, and using information extracted from the image to retrieve existing, similar images. The images retrieved may be ordered according to different criteria. When a user ...
This paper proposes some modest improvements to Extractor, a state-of-the-art keyphrase extractio... more This paper proposes some modest improvements to Extractor, a state-of-the-art keyphrase extraction system, by using a terabyte-sized corpus to estimate the informativeness and semantic similarity of keyphrases. We present two techniques to improve the organization and remove outliers of lists of keyphrases. The first is a simple ordering according to their occurrences in the corpus; the second is clustering according to semantic similarity. Evaluation issues are discussed. We present a novel technique of comparing extracted keyphrases to a gold standard which relies on semantic similarity rather than string matching or an evaluation involving human judges.
WordNet proved that it is possible to construct a large-scale electronic lexical database on the ... more WordNet proved that it is possible to construct a large-scale electronic lexical database on the principles of lexical semantics. It has been accepted and used extensively by computational linguists ever since it was released. Inspired by WordNet's success, we propose as an alternative a similar resource, based on the 1987 Penguin edition of Roget's Thesaurus of English Words and Phrases.
Mario Jarmasz and Stan Szpakowicz School of Information Technology and Engineering, University of... more Mario Jarmasz and Stan Szpakowicz School of Information Technology and Engineering, University of Ottawa Ottawa, Ontario, Canada, K1N 6N5 {mjarmasz, szpak}@site.uottawa.ca ... With the advent of the Internet, inexpensive yet powerful computers and wide bandwidth, it is ...
Canadian Conference on Artificial Intelligence, 2001
Thesauri have always been a useful resource for natural language processing WordNet , a kind of t... more Thesauri have always been a useful resource for natural language processing WordNet , a kind of thesaurus, has proven invaluable in computational linguistics We present the various applications of Roget's Thesaurus in this field and discuss the advantages of its structure We evaluate the merits of the 1987 edition of Penguin's Roget's Thesaurus of English Words
... Mario JARMASZ, Stan SZPAKOWICZ School of Information Technology and Engineering University of... more ... Mario JARMASZ, Stan SZPAKOWICZ School of Information Technology and Engineering University of Ottawa Ottawa, Canada, K1N 6N5 {mjarmasz,szpak}@site ... com (Lexico, 2001) and the one prepared by the University of Chicago Project for American and French Treasury of ...
We have implemented a system that measures semantic similarity using a computerized 1987 Roget's ... more We have implemented a system that measures semantic similarity using a computerized 1987 Roget's Thesaurus, and evaluated it by performing a few typical tests. We compare the results of these tests with those produced by WordNet-based similarity measures. One of the benchmarks is Miller and Charles' list of 30 noun pairs to which human judges had assigned similarity measures. We correlate these measures with those computed by several NLP systems. The 30 pairs can be traced back to Rubenstein and Goodenough's 65 pairs, which we have also studied. Our Roget's-based system gets correlations of .878 for the smaller and .818 for the larger list of noun pairs; this is quite close to the .885 that Resnik obtained when he employed humans to replicate the Miller and Charles experiment. We further evaluate our measure by using Roget's and WordNet to answer 80 TOEFL, 50 ESL and 300 Reader's Digest questions: the correct synonym must be selected amongst a group of four words. Our system gets 78.75%, 82.00% and 74.33% of the questions respectively.
This paper presents a system for bilingual information retrieval using commercial off-the-shelf s... more This paper presents a system for bilingual information retrieval using commercial off-the-shelf search engines (COTS). Several custom query construction, expansion and translation strategies are compared. We present the experiments and the corresponding results for the CLEF 2004 event.
This paper presents a system for bilingual information retrieval using commercial offthe-shelf se... more This paper presents a system for bilingual information retrieval using commercial offthe-shelf search engines (COTS). Several custom query construction, expansion and translation strategies are compared. We present the experiments and the corresponding results for the CLEF 2004 event.
Roget’s Thesaurus has not been sufficiently appreciated in Natural Language Processing. We show t... more Roget’s Thesaurus has not been sufficiently appreciated in Natural Language Processing. We show that Roget's and WordNet are birds of a feather. In a few typical tests, we compare how the two resources help measure semantic similarity. One of the benchmarks is Miller and Charles ’ list of 30 noun pairs to which human judges had assigned similarity measures. We correlate these measures with those computed by several NLP systems. The 30 pairs can be traced back to Rubenstein and Goodenough’s 65 pairs, which we have also studied. Our Roget’sbased system gets correlations of.878 for the smaller and.818 for the larger list of noun pairs; this is quite close to the.885 that Resnik obtained when he employed humans to replicate the Miller and Charles experiment. We further evaluate our measure by using Roget’s and Word-Net to answer 80 TOEFL, 50 ESL and 300 Reader’s Digest questions: the correct synonym must be selected amongst a group of four words. Our system gets 78.75%, 82.00 % and...
Abstract. Morris and Hirst [10] present a method of linking significant words that are about the ... more Abstract. Morris and Hirst [10] present a method of linking significant words that are about the same topic. The resulting lexical chains are a means of identifying cohesive regions in a text, with applications in many natural language processing tasks, including text summarization. The first lexical chains were constructed manually using Roget’s International Thesaurus. Morris and Hirst wrote that automation would be straightforward given an electronic thesaurus. All applications so far have used WordNet to produce lexical chains, perhaps because adequate electronic versions of Roget’s were not available until recently. We discuss the building of lexical chains using an electronic version of Roget’s Thesaurus. We implement a variant of the original algorithm, and explain the necessary design decisions. We include a comparison with other implementations. 1
This paper presents the steps involved in creating an electronic lexical knowledge base from the ... more This paper presents the steps involved in creating an electronic lexical knowledge base from the 1987 Penguin edition of Roget's Thesaurus. Semantic relations are labelled with the help of WordNet. The two resources are compared in a qualitative and quantitative manner. Differences in the organization of the lexical material are discussed, as well as the possibility of merging both resources.
The dynamic logic of each channel of a multichannel protection system for a nuclear power plant p... more The dynamic logic of each channel of a multichannel protection system for a nuclear power plant provides a trip logic path and a global bypass logic path by which pulse signals from a clock source may be transmitted to a dc-to-dc power converter which energizes the undervoltage coils for a pair of contactors in the reactor trip switchgear. Each of the logic paths is constructed of basic logic units which in turn, each include a toroidal core of rectangular hysteresis loop magnetic material having a control winding which must be energized by a dc current in order for pulses applied to an input winding to appear at an output winding. Blockage of pulses through any one of the serially connected basic logic units in a logic path terminates the flow of pulses to the converter through that logic path. The control windings of corresponding logic units of the trip logic path in each channel are energized by one of a set of redundant sensors which monitor one of a plurality of reactor trip p...
Abstract. This paper presents a system for bilingual information retrieval using commercial off-t... more Abstract. This paper presents a system for bilingual information retrieval using commercial off-the-shelf search engines (COTS). Several custom query construction, expansion and translation strategies are compared. We present the experiments and the corresponding results for the CLEF 2004 event. 1
Morris and Hirst [10] present a method of linking significant words that are about the same topic... more Morris and Hirst [10] present a method of linking significant words that are about the same topic. The resulting lexical chains are a means of identifying cohesive regions in a text, with applications in many natural language processing tasks, including text summarization. The first lexical chains were constructed manually using Roget's International Thesaurus. Morris and Hirst wrote that automation would be straightforward given an electronic thesaurus. All applications so far have used WordNet to produce lexical chains, perhaps because adequate electronic versions of Roget's were not available until recently. We discuss the building of lexical chains using an electronic version of Roget's Thesaurus. We implement a variant of the original algorithm, and explain the necessary design decisions. We include a comparison with other implementations.
A method and system to help photographers to take better quality pictures of landmarks and scenes... more A method and system to help photographers to take better quality pictures of landmarks and scenes are disclosed. A user is guided with examples of existing quality images, which are extracted from a database, of the same or similar landmarks or scenes. The method includes taking a query photograph that may include an image associated with a GPS location and other metadata, and using information extracted from the image to retrieve existing, similar images. The images retrieved may be ordered according to different criteria. When a user ...
This paper proposes some modest improvements to Extractor, a state-of-the-art keyphrase extractio... more This paper proposes some modest improvements to Extractor, a state-of-the-art keyphrase extraction system, by using a terabyte-sized corpus to estimate the informativeness and semantic similarity of keyphrases. We present two techniques to improve the organization and remove outliers of lists of keyphrases. The first is a simple ordering according to their occurrences in the corpus; the second is clustering according to semantic similarity. Evaluation issues are discussed. We present a novel technique of comparing extracted keyphrases to a gold standard which relies on semantic similarity rather than string matching or an evaluation involving human judges.
WordNet proved that it is possible to construct a large-scale electronic lexical database on the ... more WordNet proved that it is possible to construct a large-scale electronic lexical database on the principles of lexical semantics. It has been accepted and used extensively by computational linguists ever since it was released. Inspired by WordNet's success, we propose as an alternative a similar resource, based on the 1987 Penguin edition of Roget's Thesaurus of English Words and Phrases.
Mario Jarmasz and Stan Szpakowicz School of Information Technology and Engineering, University of... more Mario Jarmasz and Stan Szpakowicz School of Information Technology and Engineering, University of Ottawa Ottawa, Ontario, Canada, K1N 6N5 {mjarmasz, szpak}@site.uottawa.ca ... With the advent of the Internet, inexpensive yet powerful computers and wide bandwidth, it is ...
Canadian Conference on Artificial Intelligence, 2001
Thesauri have always been a useful resource for natural language processing WordNet , a kind of t... more Thesauri have always been a useful resource for natural language processing WordNet , a kind of thesaurus, has proven invaluable in computational linguistics We present the various applications of Roget's Thesaurus in this field and discuss the advantages of its structure We evaluate the merits of the 1987 edition of Penguin's Roget's Thesaurus of English Words
... Mario JARMASZ, Stan SZPAKOWICZ School of Information Technology and Engineering University of... more ... Mario JARMASZ, Stan SZPAKOWICZ School of Information Technology and Engineering University of Ottawa Ottawa, Canada, K1N 6N5 {mjarmasz,szpak}@site ... com (Lexico, 2001) and the one prepared by the University of Chicago Project for American and French Treasury of ...
We have implemented a system that measures semantic similarity using a computerized 1987 Roget's ... more We have implemented a system that measures semantic similarity using a computerized 1987 Roget's Thesaurus, and evaluated it by performing a few typical tests. We compare the results of these tests with those produced by WordNet-based similarity measures. One of the benchmarks is Miller and Charles' list of 30 noun pairs to which human judges had assigned similarity measures. We correlate these measures with those computed by several NLP systems. The 30 pairs can be traced back to Rubenstein and Goodenough's 65 pairs, which we have also studied. Our Roget's-based system gets correlations of .878 for the smaller and .818 for the larger list of noun pairs; this is quite close to the .885 that Resnik obtained when he employed humans to replicate the Miller and Charles experiment. We further evaluate our measure by using Roget's and WordNet to answer 80 TOEFL, 50 ESL and 300 Reader's Digest questions: the correct synonym must be selected amongst a group of four words. Our system gets 78.75%, 82.00% and 74.33% of the questions respectively.
This paper presents a system for bilingual information retrieval using commercial off-the-shelf s... more This paper presents a system for bilingual information retrieval using commercial off-the-shelf search engines (COTS). Several custom query construction, expansion and translation strategies are compared. We present the experiments and the corresponding results for the CLEF 2004 event.
This paper presents a system for bilingual information retrieval using commercial offthe-shelf se... more This paper presents a system for bilingual information retrieval using commercial offthe-shelf search engines (COTS). Several custom query construction, expansion and translation strategies are compared. We present the experiments and the corresponding results for the CLEF 2004 event.
Uploads
Papers by Mario Jarmasz