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Massimiliano Ciaramita
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2020 – today
- 2024
- [c44]Jannis Bulian, Mike S. Schäfer, Afra Amini, Heidi Lam, Massimiliano Ciaramita, Ben Gaiarin, Michelle Chen Huebscher, Christian Buck, Niels Mede, Markus Leippold, Nadine Strauß:
Assessing Large Language Models on Climate Information. ICML 2024 - 2023
- [i14]Afra Amini, Massimiliano Ciaramita:
Probing in Context: Toward Building Robust Classifiers via Probing Large Language Models. CoRR abs/2305.14171 (2023) - [i13]Jannis Bulian, Mike S. Schäfer, Afra Amini, Heidi Lam, Massimiliano Ciaramita, Ben Gaiarin, Michelle Chen Huebscher, Christian Buck, Niels Mede, Markus Leippold, Nadine Strauß
:
Assessing Large Language Models on Climate Information. CoRR abs/2310.02932 (2023) - 2022
- [j4]Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain:
Boosting Search Engines with Interactive Agents. Trans. Mach. Learn. Res. 2022 (2022) - [c43]Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann:
Decoding a Neural Retriever's Latent Space for Query Suggestion. EMNLP 2022: 8786-8804 - [i12]Michelle Chen Huebscher, Christian Buck, Massimiliano Ciaramita, Sascha Rothe:
Zero-Shot Retrieval with Search Agents and Hybrid Environments. CoRR abs/2209.15469 (2022) - [i11]Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann:
Decoding a Neural Retriever's Latent Space for Query Suggestion. CoRR abs/2210.12084 (2022) - 2021
- [i10]Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher:
Boosting Search Engines with Interactive Agents. CoRR abs/2109.00527 (2021) - 2020
- [c42]Gino Brunner, Yang Liu, Damian Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer:
On Identifiability in Transformers. ICLR 2020 - [i9]Francesco S. Varini, Jordan L. Boyd-Graber, Massimiliano Ciaramita, Markus Leippold:
ClimaText: A Dataset for Climate Change Topic Detection. CoRR abs/2012.00483 (2020) - [i8]Thomas Diggelmann
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. CoRR abs/2012.00614 (2020)
2010 – 2019
- 2019
- [j3]Marco Cornolti, Paolo Ferragina
SMAPH: A Piggyback Approach for Entity-Linking in Web Queries. ACM Trans. Inf. Syst. 37(1): 13:1-13:42 (2019) - [c41]Rodrigo Nogueira, Jannis Bulian, Massimiliano Ciaramita:
Multi-agent query reformulation: Challenges and the role of diversity. DeepRLStructPred@ICLR 2019 - [i7]Benjamin Börschinger, Jordan L. Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, Lierni Sestorain Saralegu:
Meta Answering for Machine Reading. CoRR abs/1911.04156 (2019) - 2018
- [c40]Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang:
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. ICLR 2018 - [i6]Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang:
Analyzing Language Learned by an Active Question Answering Agent. CoRR abs/1801.07537 (2018) - [i5]Lierni Sestorain, Massimiliano Ciaramita, Christian Buck, Thomas Hofmann:
Zero-Shot Dual Machine Translation. CoRR abs/1805.10338 (2018) - [i4]Rodrigo Nogueira, Jannis Bulian, Massimiliano Ciaramita:
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation. CoRR abs/1809.10658 (2018) - 2017
- [r2]Massimiliano Ciaramita:
Text Mining for Advertising. Encyclopedia of Machine Learning and Data Mining 2017: 1242-1247 - [i3]Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Andrea Gesmundo, Neil Houlsby, Wojciech Gajewski, Wei Wang:
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. CoRR abs/1705.07830 (2017) - 2016
- [c39]Marco Cornolti, Paolo Ferragina
A Piggyback System for Joint Entity Mention Detection and Linking in Web Queries. WWW 2016: 567-578 - 2015
- [c38]Zhendong Zhao, Lan Du, Benjamin Börschinger, John K. Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson
A Computationally Efficient Algorithm for Learning Topical Collocation Models. ACL (1) 2015: 1460-1469 - [c37]Lan Du, Anish Kumar, Mark Johnson, Massimiliano Ciaramita:
Using Entity Information from a Knowledge Base to Improve Relation Extraction. ALTA 2015: 31-38 - 2014
- [c36]Neil Houlsby, Massimiliano Ciaramita:
A Scalable Gibbs Sampler for Probabilistic Entity Linking. ECIR 2014: 335-346 - [c35]Marco Cornolti, Paolo Ferragina
The SMAPH system for query entity recognition and disambiguation. ERD@SIGIR 2014: 25-30 - 2013
- [c34]Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita:
A framework for benchmarking entity-annotation systems. WWW 2013: 249-260 - [i2]Neil Houlsby, Massimiliano Ciaramita:
Scalable Probabilistic Entity-Topic Modeling. CoRR abs/1309.0337 (2013) - 2012
- [c33]Ugo Scaiella, Paolo Ferragina
Topical clustering of search results. WSDM 2012: 223-232 - 2011
- [j2]Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza:
Learning to Rank Answers to Non-Factoid Questions from Web Collections. Comput. Linguistics 37(2): 351-383 (2011) - [c32]Stefan Rüd, Massimiliano Ciaramita, Jens Müller, Hinrich Schütze:
Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition. ACL 2011: 965-975 - 2010
- [c31]Ricardo Martin-Brualla, Enrique Alfonseca, Marius Pasca, Keith B. Hall, Enrique Robledo-Arnuncio, Massimiliano Ciaramita:
Instance Sense Induction from Attribute Sets. COLING (Posters) 2010: 819-827 - [c30]Fabio De Bona, Stefan Riezler, Keith B. Hall, Massimiliano Ciaramita, Amac Herdagdelen, Maria Holmqvist:
Learning Dense Models of Query Similarity from User Click Logs. HLT-NAACL 2010: 474-482 - [c29]Amac Herdagdelen, Massimiliano Ciaramita, Daniel Mahler, Maria Holmqvist, Keith B. Hall
Generalized syntactic and semantic models of query reformulation. SIGIR 2010: 283-290 - [p2]Massimiliano Ciaramita, Giuseppe Attardi:
Dependency Parsing with Second-Order Feature Maps and Annotated Semantic Information. Trends in Parsing Technology 2010: 87-104 - [r1]Massimiliano Ciaramita:
Text Mining for Advertising. Encyclopedia of Machine Learning 2010: 963-968
2000 – 2009
- 2009
- [c28]Jan Hajic, Massimiliano Ciaramita, Richard Johansson, Daisuke Kawahara, Maria Antònia Martí, Lluís Màrquez, Adam Meyers, Joakim Nivre, Sebastian Padó, Jan Stepánek, Pavel Stranák, Mihai Surdeanu, Nianwen Xue, Yi Zhang:
The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages. CoNLL Shared Task 2009: 1-18 - [c27]Katja Filippova, Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza:
Company-Oriented Extractive Summarization of Financial News. EACL 2009: 246-254 - [c26]Enrique Alfonseca, Massimiliano Ciaramita, Keith B. Hall:
Gazpacho and summer rash: lexical relationships from temporal patterns of web search queries. EMNLP 2009: 1046-1055 - 2008
- [j1]Peter Mika, Massimiliano Ciaramita, Hugo Zaragoza, Jordi Atserias
Learning to Tag and Tagging to Learn: A Case Study on Wikipedia. IEEE Intell. Syst. 23(5): 26-33 (2008) - [c25]Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza:
Learning to Rank Answers on Large Online QA Collections. ACL 2008: 719-727 - [c24]Andrei Z. Broder, Massimiliano Ciaramita, Marcus Fontoura, Evgeniy Gabrilovich
To swing or not to swing: learning when (not) to advertise. CIKM 2008: 1003-1012 - [c23]Massimiliano Ciaramita, Giuseppe Attardi, Felice Dell'Orletta, Mihai Surdeanu:
DeSRL: A Linear-Time Semantic Role Labeling System. CoNLL 2008: 258-262 - [c22]Jordi Atserias, Hugo Zaragoza, Massimiliano Ciaramita, Giuseppe Attardi:
Semantically Annotated Snapshot of the English Wikipedia. LREC 2008 - [c21]Davide Picca, Alfio Massimiliano Gliozzo, Massimiliano Ciaramita:
Supersense Tagger for Italian. LREC 2008 - [c20]Ximena Olivares, Massimiliano Ciaramita, Roelof van Zwol:
Boosting image retrieval through aggregating search results based on visual annotations. ACM Multimedia 2008: 189-198 - [c19]Ricardo Baeza-Yates
Towards Semantic Search. NLDB 2008: 4-11 - [c18]Massimiliano Ciaramita, Vanessa Murdock, Vassilis Plachouras:
Online learning from click data for sponsored search. WWW 2008: 227-236 - [p1]Massimiliano Ciaramita, Aldo Gangemi, Esther Ratsch, Jasmin Saric, Isabel Rojas:
Unsupervised Learning of Semantic Relations for Molecular Biology Ontologies. Ontology Learning and Population 2008: 91-104 - 2007
- [c17]Vanessa Murdock, Massimiliano Ciaramita, Vassilis Plachouras:
A noisy-channel approach to contextual advertising. AdKDD@KDD 2007: 21-27 - [c16]Hugo Zaragoza, Henning Rode, Peter Mika, Jordi Atserias
Ranking very many typed entities on wikipedia. CIKM 2007: 1015-1018 - [c15]Giuseppe Attardi, Felice Dell'Orletta, Maria Simi, Atanas Chanev, Massimiliano Ciaramita:
Multilingual Dependency Parsing and Domain Adaptation using DeSR. EMNLP-CoNLL 2007: 1112-1118 - [c14]Massimiliano Ciaramita, Giuseppe Attardi:
Dependency Parsing with Second-Order Feature Maps and Annotated Semantic Information. IWPT 2007: 133-143 - [c13]Giuseppe Attardi, Massimiliano Ciaramita:
Tree Revision Learning for Dependency Parsing. HLT-NAACL 2007: 388-395 - [c12]Rada Mihalcea, Andras Csomai, Massimiliano Ciaramita:
UNT-Yahoo: SuperSenseLearner: Combining SenseLearner with SuperSense and other Coarse Semantic Features. SemEval@ACL 2007: 406-409 - [c11]Bennett A. Hagedorn, Massimiliano Ciaramita, Jordi Atserias
World knowledge in broad-coverage information filtering. SIGIR 2007: 801-802 - 2006
- [c10]Massimiliano Ciaramita, Marco Baroni:
A Figure of Merit for the Evaluation of Web-Corpus Randomness. EACL 2006 - [c9]Massimiliano Ciaramita, Yasemin Altun:
Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger. EMNLP 2006: 594-602 - [c8]Aldo Gangemi
Modelling Ontology Evaluation and Validation. ESWC 2006: 140-154 - [c7]Aldo Gangemi, Carola Catenacci, Massimiliano Ciaramita, Jos Lehmann:
Qood grid: A metaontology-based framework for ontology evaluation and selection. EON@WWW 2006 - 2005
- [c6]Massimiliano Ciaramita, Aldo Gangemi, Esther Ratsch, Jasmin Saric, Isabel Rojas:
Unsupervised Learning of Semantic Relations between Concepts of a Molecular Biology Ontology. IJCAI 2005: 659-664 - [c5]Aldo Gangemi, Carola Catenacci, Massimiliano Ciaramita, Jos Lehmann:
A theoretical framework for ontology evaluation and validation. SWAP 2005 - 2004
- [c4]Massimiliano Ciaramita, Mark Johnson:
Multi-component Word Sense Disambiguation. SENSEVAL@ACL 2004 - 2003
- [c3]Massimiliano Ciaramita, Mark Johnson:
Supersense Tagging of Unknown Nouns in WordNet. EMNLP 2003 - [c2]Massimiliano Ciaramita, Thomas Hofmann, Mark Johnson:
Hierarchical Semantic Classification: Word Sense Disambiguation with World Knowledge. IJCAI 2003: 817-822 - 2000
- [c1]Massimiliano Ciaramita, Mark Johnson:
Explaining away ambiguity: Learning verb selectional preference with Bayesian networks. COLING 2000: 187-193 - [i1]Massimiliano Ciaramita, Mark Johnson:
Explaining away ambiguity: Learning verb selectional preference with Bayesian networks. CoRR cs.CL/0008020 (2000)
Coauthor Index
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last updated on 2024-09-04 01:24 CEST by the dblp team
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