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1
Tempo-lexical context driven word embedding for cross-session search task extraction
In: Sen, Procheta, Ganguly, Debasis orcid:0000-0003-0050-7138 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2018) Tempo-lexical context driven word embedding for cross-session search task extraction. In: 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1-6 June 2018, New Orleans, LA, USA. (2018)
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2
Retrievability of code mixed microblogs
In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Bandyopadhyay, Ayan, Mitra, Mandar and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2016) Retrievability of code mixed microblogs. In: 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 17-21 July 2016, Pisa, Italy. ISBN 978-1-4503-4069-4 (2016)
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3
Joint estimation of topics and hashtag relevance in cross-lingual tweets
In: Sen, Procheta, Ganguly, Debasis orcid:0000-0003-0050-7138 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2016) Joint estimation of topics and hashtag relevance in cross-lingual tweets. In: ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, 12- 6 Sept 2016., Newark, DE, USA. ISBN 978-1-4503-4497-5 (2016)
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4
FaDA: fast document aligner using word embedding
In: Lohar, Pintu, Ganguly, Debasis orcid:0000-0003-0050-7138 , Afli, Haithem orcid:0000-0002-7449-4707 , Way, Andy orcid:0000-0001-5736-5930 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2016) FaDA: fast document aligner using word embedding. Prague Bulletin of Mathematical Linguistics (106). pp. 169-179. ISSN 1804-0462 (2016)
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5
DCU@FIRE-2014: fuzzy queries with rule-based normalization for mixed script information retrieval
In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Pal, Santanu and Jones, Gareth J.F. orcid:0000-0002-4033-9135 (2014) DCU@FIRE-2014: fuzzy queries with rule-based normalization for mixed script information retrieval. In: Forum for Information Retrieval Evaluation (FIRE 2014) workshop, 5-7 Dec 2014, Bangalore, India. (2014)
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6
Automatic prediction of text aesthetics and interestingness
In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Leveling, Johannes orcid:0000-0003-0603-4191 and Jones, Gareth J.F. orcid:0000-0002-4033-9135 (2014) Automatic prediction of text aesthetics and interestingness. In: 25th International Conference on Computational Linguistics (COLING 2014), 23-29 Aug 2014, Dublin, Ireland. (2014)
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7
A case study in decompounding for Bengali information retrieval
In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Leveling, Johannes orcid:0000-0003-0603-4191 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2013) A case study in decompounding for Bengali information retrieval. In: CLEF 2013 - Conference and Labs, 23-26 Sept 2013, Valencia, Spain. (2013)
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8
DCU@FIRE-2012: rule-based stemmers for Bengali and Hindi
In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Leveling, Johannes orcid:0000-0003-0603-4191 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2012) DCU@FIRE-2012: rule-based stemmers for Bengali and Hindi. In: FIRE 2012 Workshop, 17-19 Dec 2012, Kolkata, India. (2012)
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9
Cross-lingual topical relevance models
In: Ganguly, Debasis orcid:0000-0003-0603-4191 , Leveling, Johannes orcid:0000-0003-0603-4191 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2012) Cross-lingual topical relevance models. In: 24th International Conference on Computational Linguistics (COLING 2012), 8-15 Dec 2012, Mumbai, India. (2012)
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10
Approximate sentence retrieval for scalable and efficient example-based machine translation
In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Leveling, Johannes orcid:0000-0003-0603-4191 , Dandapat, Sandipan and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2012) Approximate sentence retrieval for scalable and efficient example-based machine translation. In: 24th International Conference on Computational Linguistics (COLING 2012), 8-15 Dec 2012, Mumbai, India. (2012)
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11
Towards evaluation of personalized and collaborative information retrieval
In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Leveling, Johannes orcid:0000-0003-0603-4191 , Li, Wei B. orcid:0000-0001-7347-3501 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2011) Towards evaluation of personalized and collaborative information retrieval. In: The First Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011), 6th June 2011, Eindhoven, The Netherlands. (2011)
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12
Simulation of within-session query variations using a text segmentation approach
In: Ganguly, Debasis orcid:0000-0003-0050-7138 , Leveling, Johannes orcid:0000-0003-0603-4191 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2011) Simulation of within-session query variations using a text segmentation approach. In: CLEF 2011 Conference on Multilingual and Multimodal Information Access Evaluation, 19-22 Sept 2011, Amsterdam, The Netherlands. (2011)
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13
DCU@FIRE2010: term conflation, blind relevance feedback, and cross-language IR with manual and automatic query translation
In: Leveling, Johannes orcid:0000-0003-0603-4191 , Ganguly, Debasis orcid:0000-0003-0050-7138 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2010) DCU@FIRE2010: term conflation, blind relevance feedback, and cross-language IR with manual and automatic query translation. In: FIRE 2010 - Forum for Information Retrieval Evaluation, 19-21 February 2010, Gandhinagar, India. (2010)
Abstract: For the first participation of Dublin City University (DCU) in the FIRE 2010 evaluation campaign, information retrieval (IR) experiments on English, Bengali, Hindi, and Marathi documents were performed to investigate term conation (different stemming approaches and indexing word prefixes), blind relevance feedback, and manual and automatic query translation. The experiments are based on BM25 and on language modeling (LM) for IR. Results show that term conation always improves mean average precision (MAP) compared to indexing unprocessed word forms, but different approaches seem to work best for different languages. For example, in monolingual Marathi experiments indexing 5-prefixes outperforms our corpus-based stemmer; in Hindi, the corpus-based stemmer achieves a higher MAP. For Bengali, the LM retrieval model achieves a much higher MAP than BM25 (0.4944 vs. 0.4526). In all experiments using BM25, blind relevance feedback yields considerably higher MAP in comparison to experiments without it. Bilingual IR experiments (English!Bengali and English!Hindi) are based on query translations obtained from native speakers and the Google translate web service. For the automatically translated queries, MAP is slightly (but not significantly) lower compared to experiments with manual query translations. The bilingual English!Bengali (English!Hindi) experiments achieve 81.7%-83.3% (78.0%-80.6%) of the best corresponding monolingual experiments.
Keyword: Information retrieval
URL: http://doras.dcu.ie/15842/
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