Travelled to:
1 × Australia
1 × Austria
1 × Chile
1 × Ireland
1 × Portugal
1 × Russia
2 × United Kingdom
3 × Italy
5 × USA
Collaborated with:
A.Severyn ∅ R.Basili S.Bloehdorn Q.Ju M.Nicosia F.M.Zanzotto G.Barlacchi R.Johansson D.Croce S.Quarteroni S.Manandhar M.Tsagkias R.Berendsen M.d.Rijke S.Patwardhan B.Boguraev A.Agarwal J.Chu-Carroll
Talks about:
text (9) kernel (8) learn (7) structur (6) rank (6) classif (5) semant (5) convolut (3) classifi (3) answer (3)
Person: Alessandro Moschitti
DBLP: Moschitti:Alessandro
Contributed to:
Wrote 19 papers:
- ECIR-2015-NicosiaBM #learning #rank
- Learning to Rank Aggregated Answers for Crossword Puzzles (MN, GB, AM), pp. 556–561.
- SIGIR-2015-SeverynM #learning #network #rank
- Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks (AS, AM), pp. 373–382.
- SIGIR-2015-SeverynM15a #analysis #network #sentiment #twitter
- Twitter Sentiment Analysis with Deep Convolutional Neural Networks (AS, AM), pp. 959–962.
- SIGIR-2014-SeverynMTBR #microblog #retrieval
- A syntax-aware re-ranker for microblog retrieval (AS, AM, MT, RB, MdR), pp. 1067–1070.
- CIKM-2013-SeverynNM #classification #ranking
- Building structures from classifiers for passage reranking (AS, MN, AM), pp. 969–978.
- ECIR-2013-JuM #classification #incremental #ranking
- Incremental Reranking for Hierarchical Text Classification (QJ, AM), pp. 726–729.
- ECIR-2013-JuMJ #classification #learning #rank
- Learning to Rank from Structures in Hierarchical Text Classification (QJ, AM, RJ), pp. 183–194.
- SIGIR-2013-Moschitti #kernel #learning #rank #semantics
- Kernel-based learning to rank with syntactic and semantic structures (AM), p. 1128.
- CIKM-2012-PatwardhanBAMC
- Labeling by landscaping: classifying tokens in context by pruning and decorating trees (SP, BB, AA, AM, JCC), pp. 1133–1142.
- SIGIR-2012-SeverynM #learning #ranking #scalability
- Structural relationships for large-scale learning of answer re-ranking (AS, AM), pp. 741–750.
- CIKM-2011-CroceMB #dependence #kernel #semantics
- Semantic convolution kernels over dependency trees: smoothed partial tree kernel (DC, AM, RB), pp. 2013–2016.
- SFM-2011-Moschitti #automation #kernel #learning #modelling
- Kernel-Based Machines for Abstract and Easy Modeling of Automatic Learning (AM), pp. 458–503.
- CIKM-2008-Moschitti #categorisation #kernel #relational #semantics #syntax
- Kernel methods, syntax and semantics for relational text categorization (AM), pp. 253–262.
- CIKM-2007-BloehdornM #kernel #semantics
- Structure and semantics for expressive text kernels (SB, AM), pp. 861–864.
- ECIR-2007-BloehdornM #classification #kernel #semantics
- Combined Syntactic and Semantic Kernels for Text Classification (SB, AM), pp. 307–318.
- ECIR-2007-QuarteroniMMB #classification #ranking
- Advanced Structural Representations for Question Classification and Answer Re-ranking (SQ, AM, SM, RB), pp. 234–245.
- ICML-2007-MoschittiZ #effectiveness #kernel #learning #performance #relational
- Fast and effective kernels for relational learning from texts (AM, FMZ), pp. 649–656.
- ECIR-2004-MoschittiB #classification
- Complex Linguistic Features for Text Classification: A Comprehensive Study (AM, RB), pp. 181–196.
- ECIR-2003-Moschitti #case study #classification #parametricity
- A Study on Optimal Parameter Tuning for Rocchio Text Classifier (AM), pp. 420–435.