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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)
Abstract: We experiment with learning word representations designed to be combined into sentence level semantic representations, using an objective function which does not directly make use of the supervised scores provided with the training data, instead opting for a simpler objective which encourages similar phrases to be close together in the embedding space. This simple objective lets us start with high quality embeddings trained using the Paraphrase Database (PPDB) (Wieting et al., 2015; Ganitkevitch et al., 2013), and then tune these embeddings using the official STS task training data, as well as synthetic paraphrases for each test dataset, obtained by pivoting through machine translation. Our submissions include runs which only compare the similarity of phrases in the embedding space, directly using the similarity score to produce predictions, as well as a run which uses vector similarity in addition to a suite of features we investigated for our 2015 Semeval submission. For the crosslingual task, we simply translate the Spanish sentences to English, and use the same system we designed for the monolingual task.
URL: http://doras.dcu.ie/22800/
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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)
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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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