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1
Promoting user engagement and learning in search tasks by effective document representation
Arora, Piyush. - : Dublin City University. School of Computing, 2018. : Dublin City University. ADAPT, 2018
In: Arora, Piyush orcid:0000-0002-4261-2860 (2018) Promoting user engagement and learning in search tasks by effective document representation. PhD thesis, Dublin City University. (2018)
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2
How do users perceive information: analyzing user feedback while annotating textual units
In: Arora, Piyush orcid:0000-0003-0055-345X and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2017) How do users perceive information: analyzing user feedback while annotating textual units. In: CHIIR 2017 Workshop on Supporting Complex Search Tasks, 11 Mar 2017, Oslo, Norway. (2017)
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3
DCU-SEManiacs at SemEval-2016 task 1: synthetic paragram embeddings for semantic textual similarity
In: Hokamp, Chris orcid:0000-0002-7850-9398 and Arora, Piyush orcid:0000-0002-4261-2860 (2016) DCU-SEManiacs at SemEval-2016 task 1: synthetic paragram embeddings for semantic textual similarity. In: 10th International Workshop on Semantic Evaluation (SemEval-2016), 16-17 June 2016, San Diego, Ca. USA. (2016)
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4
A comparative study of online translation services for cross language Information retrieval
In: Hosseinzadeh Vahid, Ali, Arora, Piyush orcid:0000-0002-4261-2860 , Liu, Qun orcid:0000-0002-7000-1792 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2015) A comparative study of online translation services for cross language Information retrieval. In: 24th International Conference on World Wide Web Companion, 18–22 May 2015, Florence, Italy. ISBN 978-1-4503-3473-0 (2015)
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5
DCU: using distributional semantics and domain adaptation for the semantic textual similarity SemEval-2015 Task 2
In: Arora, Piyush orcid:0000-0002-4261-2860 , Hokamp, Chris orcid:0000-0002-7850-9398 , Foster, Jennifer orcid:0000-0002-7789-4853 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2015) DCU: using distributional semantics and domain adaptation for the semantic textual similarity SemEval-2015 Task 2. In: International Workshop on Semantic Evaluation (SemEval 2015), 4-5 June 2015, Denver, Co. USA. (2015)
Abstract: We describe the work carried out by the DCU team on the Semantic Textual Similarity task at SemEval-2015. We learn a regression model to predict a semantic similarity score between a sentence pair. Our system exploits distributional semantics in combination with tried-and-tested features from previous tasks in order to compute sentence similarity. Our team submitted 3 runs for each of the five English test sets. For two of the test sets, belief and headlines, our best system ranked second and fourth out of the 73 submitted systems. Our best submission averaged over all test sets ranked 26 out of the 73 systems.
Keyword: Computational linguistics
URL: http://doras.dcu.ie/22795/
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6
DCU: aspect-based polarity classification for SemEval task 4
In: Wagner, Joachim orcid:0000-0002-8290-3849 , Arora, Piyush orcid:0000-0002-4261-2860 , Cortes, Santiago, Barman, Utsab, Bogdanova, Dasha, Foster, Jennifer orcid:0000-0002-7789-4853 and Tounsi, Lamia (2014) DCU: aspect-based polarity classification for SemEval task 4. In: International Workshop on Semantic Evaluation (SemEval-2014), 23-24 Aug 2014, Dublin, Ireland. ISBN 978-1-941643-24-2 (2014)
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7
DCU at FIRE 2013: cross-language !ndian news story search
In: Arora, Piyush orcid:0000-0002-4261-2860 , Foster, Jennifer orcid:0000-0002-7789-4853 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2013) DCU at FIRE 2013: cross-language !ndian news story search. In: FIRE-Forum for Information Retrieval Evaluation, 5-7 Dec 2013, Bangalore, India. (2013)
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8
Applying query formulation and fusion techniques for cross language news story search
In: Arora, Piyush orcid:0000-0002-4261-2860 , Foster, Jennifer orcid:0000-0002-7789-4853 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2013) Applying query formulation and fusion techniques for cross language news story search. In: 5th Forum on Information Retrieval Evaluation (FIRE'13), 4 -6 Dec 2013, New Delhi, India. ISBN 978-1-4503- 2830-2 (2013)
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