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ORCIDMassimo Poesio
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- affiliation: Queen Mary University of London, UK
- affiliation (former): University of Essex, UK
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2020 – today
- 2024
[j38]Janosch Haber, Massimo Poesio:
Polysemy - Evidence from Linguistics, Behavioral Science, and Contextualized Language Models. Comput. Linguistics 50(1): 351-417 (2024)- [c139]Yuan Liang, Massimo Poesio, Roonak Rezvani:
A Fine-grained citation graph for biomedical academic papers: the finding-citation graph. BioNLP@ACL 2024: 416-426 - [c138]Wateen A. Aliady, Massimo Poesio:
Master the Linguistic Landscape: Puzzle Integration in a 3D NLP Game. CoG 2024: 1-8 - [c137]Yujian Gan, Massimo Poesio, Juntao Yu:
Assessing the Capabilities of Large Language Models in Coreference: An Evaluation. LREC/COLING 2024: 1645-1665 - [c136]Julian Hough, Sina Zarrieß, Casey Kennington, David Schlangen, Massimo Poesio:
Conceptual Pacts for Reference Resolution Using Small, Dynamically Constructed Language Models: A Study in Puzzle Building Dialogues. LREC/COLING 2024: 3689-3699 - [c135]Massimo Poesio, Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Amir Zeldes, Anna Nedoluzhko, Michal Novák, Martin Popel, Zdenek Zabokrtský, Daniel Zeman:
Universal Anaphora: The First Three Years. LREC/COLING 2024: 17087-17100 - [c134]Changling Li, Yujian Gan, Zhenrong Yang, Youyang Chen, Xinxuan Qiu, Yanni Lin, Matthew Purver, Massimo Poesio:
Analyzing and Enhancing Clarification Strategies for Ambiguous References in Consumer Service Interactions. SIGDIAL 2024: 289-296 - [c133]Andrea Bruera, Farbod Zamani, Massimo Poesio:
Polysemy through the lens of psycholinguistic variables: a dataset and an evaluation of static and contextualized language models. *SEM@NAACL 2024: 35-48 - [i26]Chris Madge, Massimo Poesio:
Large Language Models as Minecraft Agents. CoRR abs/2402.08392 (2024) - [i25]Teun van der Weij, Massimo Poesio, Nandi Schoots:
Extending Activation Steering to Broad Skills and Multiple Behaviours. CoRR abs/2403.05767 (2024) - [i24]Pengcheng Lu, Massimo Poesio:
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain. CoRR abs/2404.10696 (2024) - [i23]Maja Pavlovic, Massimo Poesio:
The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation. CoRR abs/2405.01299 (2024) - [i22]Chris Madge, Massimo Poesio:
A LLM Benchmark based on the Minecraft Builder Dialog Agent Task. CoRR abs/2407.12734 (2024) - 2023
- [j37]Andrea Bruera
, Yuan Tao, Andrew Anderson, Derya Cokal, Janosch Haber, Massimo Poesio:
Modeling Brain Representations of Words' Concreteness in Context Using GPT-2 and Human Ratings. Cogn. Sci. 47(12) (2023) - [j36]Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, Massimo Poesio:
Scoring Coreference Chains with Split-Antecedent Anaphors. Dialogue Discourse 14(2): 1-48 (2023) - [c132]Fatima Althani, Chris Madge, Massimo Poesio:
The Onboarding Phase in a Game for Text Labelling: Comparing the Effect of Animated vs. Textual Onboarding on Player Experience and Accuracy. CoG 2023: 1-8 - [c131]Juntao Yu, Silviu Paun, Maris Camilleri, Paloma Carretero Garcia, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts. EACL 2023: 767-781 - [c130]Ming Liu, Massimo Poesio:
Data Augmentation for Fake Reviews Detection. RANLP 2023: 673-680 - [c129]Elisa Leonardelli, Gavin Abercrombie, Dina Almanea, Valerio Basile, Tommaso Fornaciari, Barbara Plank, Verena Rieser, Alexandra Uma, Massimo Poesio:
SemEval-2023 Task 11: Learning with Disagreements (LeWiDi). SemEval@ACL 2023: 2304-2318 - [i21]Elisa Leonardelli, Alexandra Uma, Gavin Abercrombie, Dina Almanea, Valerio Basile, Tommaso Fornaciari, Barbara Plank, Verena Rieser, Massimo Poesio:
SemEval-2023 Task 11: Learning With Disagreements (LeWiDi). CoRR abs/2304.14803 (2023) - 2022
- [j35]Andrea Bruera, Massimo Poesio:
Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics. Frontiers Artif. Intell. 5: 796793 (2022) - [j34]Alexandra Uma, Dina Almanea, Massimo Poesio:
Scaling and Disagreements: Bias, Noise, and Ambiguity. Frontiers Artif. Intell. 5: 818451 (2022) - [c128]Tommaso Fornaciari, Alexandra Uma, Massimo Poesio, Dirk Hovy:
Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa. ACL (demo) 2022: 127-134 - [c127]Chris Madge, Jussi Brightmore, Doruk Kicikoglu, Fatima Althani, Richard A. Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
LingoTowns: A Virtual World For Natural Language Annotation and Language Learning. CHI PLAY 2022: 57-62 - [c126]Dina Almanea, Massimo Poesio:
ArMIS - The Arabic Misogyny and Sexism Corpus with Annotator Subjective Disagreements. LREC 2022: 2282-2291 - [c125]Juntao Yu, Sopan Khosla, Nafise Sadat Moosavi, Silviu Paun, Sameer Pradhan, Massimo Poesio:
The Universal Anaphora Scorer. LREC 2022: 4873-4883 - [c124]Abdulrahman Aloraini, Sameer Pradhan, Massimo Poesio:
Joint Coreference Resolution for Zeros and non-Zeros in Arabic. WANLP@EMNLP 2022: 11-21 - [c123]Wateen A. Aliady, Abdulrahman Aloraini, Christopher Madge, Juntao Yu, Richard A. Bartle, Massimo Poesio:
Coreference Annotation of an Arabic Corpus using a Virtual World Game. WANLP@EMNLP 2022: 388-393 - [i20]Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, Massimo Poesio:
Scoring Coreference Chains with Split-Antecedent Anaphors. CoRR abs/2205.12323 (2022) - [i19]Juntao Yu, Silviu Paun, Maris Camilleri, Paloma Carretero Garcia, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts. CoRR abs/2210.05581 (2022) - [i18]Abdulrahman Aloraini, Sameer Pradhan, Massimo Poesio:
Joint Coreference Resolution for Zeros and non-Zeros in Arabic. CoRR abs/2210.12169 (2022) - 2021
- [j33]Alexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio:
Learning from Disagreement: A Survey. J. Artif. Intell. Res. 72: 1385-1470 (2021) - [c122]Tommaso Fornaciari, Federico Bianchi, Massimo Poesio, Dirk Hovy:
BERTective: Language Models and Contextual Information for Deception Detection. EACL 2021: 2699-2708 - [c121]Janosch Haber, Massimo Poesio:
Patterns of Polysemy and Homonymy in Contextualised Language Models. EMNLP (Findings) 2021: 2663-2676 - [c120]Tommaso Fornaciari, Alexandra Uma, Silviu Paun, Barbara Plank, Dirk Hovy, Massimo Poesio:
Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning. NAACL-HLT 2021: 2591-2597 - [c119]Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Stay Together: A System for Single and Split-antecedent Anaphora Resolution. NAACL-HLT 2021: 4174-4184 - [c118]Alexandra Uma, Tommaso Fornaciari, Anca Dumitrache, Tristan Miller, Jon Chamberlain, Barbara Plank, Edwin Simpson, Massimo Poesio:
SemEval-2021 Task 12: Learning with Disagreements. SemEval@ACL/IJCNLP 2021: 338-347 - [d1]Alexandra Nnemamaka Uma, Tommaso Fornaciari, Anca Dumitrache, Tristan Miller, Jon Chamberlain, Barbara Plank, Edwin Simpson, Massimo Poesio:
SemEval-2021 Task 12: Learning with Disagreements. Zenodo, 2021
- [i17]Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Stay Together: A System for Single and Split-antecedent Anaphora Resolution. CoRR abs/2104.05320 (2021) - [i16]Abdulrahman Aloraini, Massimo Poesio:
Data Augmentation Methods for Anaphoric Zero Pronouns. CoRR abs/2109.09825 (2021) - [i15]Pengcheng Lu, Massimo Poesio:
Coreference Resolution for the Biomedical Domain: A Survey. CoRR abs/2109.12424 (2021) - [i14]Janosch Haber, Massimo Poesio:
Patterns of Lexical Ambiguity in Contextualised Language Models. CoRR abs/2109.13032 (2021) - 2020
- [j32]Ayman Alhelbawy, Mark Lattimer, Udo Kruschwitz, Chris Fox, Massimo Poesio:
An NLP-Powered Human Rights Monitoring Platform. Expert Syst. Appl. 153: 113365 (2020) - [j31]Tommaso Fornaciari, Leticia C. Cagnina, Paolo Rosso, Massimo Poesio:
Fake opinion detection: how similar are crowdsourced datasets to real data? Lang. Resour. Evaluation 54(4): 1019-1058 (2020) - [j30]Olga Uryupina, Ron Artstein, Antonella Bristot, Federica Cavicchio, Francesca Delogu, Kepa Joseba Rodríguez, Massimo Poesio:
Annotating a broad range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus. Nat. Lang. Eng. 26(1): 95-128 (2020) - [c117]Juntao Yu, Bernd Bohnet, Massimo Poesio:
Named Entity Recognition as Dependency Parsing. ACL 2020: 6470-6476 - [c116]Juntao Yu, Massimo Poesio:
Multitask Learning-Based Neural Bridging Reference Resolution. COLING 2020: 3534-3546 - [c115]Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. COLING 2020: 6113-6125 - [c114]Alexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio:
A Case for Soft Loss Functions. HCOMP 2020: 173-177 - [c113]Juntao Yu, Bernd Bohnet, Massimo Poesio:
Neural Mention Detection. LREC 2020: 1-10 - [c112]Juntao Yu, Alexandra Uma, Massimo Poesio:
A Cluster Ranking Model for Full Anaphora Resolution. LREC 2020: 11-20 - [c111]Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
Speaking Outside the Box: Exploring the Benefits of Unconstrained Input in Crowdsourcing and Citizen Science Platforms. CLLRD@LREC 2020: 26-34 - [c110]Abdulrahman Aloraini, Massimo Poesio:
Cross-lingual Zero Pronoun Resolution. LREC 2020: 90-98 - [c109]Janosch Haber, Massimo Poesio:
Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance. *SEM@COLING 2020: 114-124 - [c108]Abdulrahman Aloraini, Massimo Poesio, Ayman Alhelbawy:
The QMUL/HRBDT contribution to the NADI Arabic Dialect Identification Shared Task. WANLP@COLING 2020: 295-301 - [i13]Juntao Yu, Massimo Poesio:
Multi-task Learning Based Neural Bridging Reference Resolution. CoRR abs/2003.03666 (2020) - [i12]Juntao Yu, Bernd Bohnet, Massimo Poesio:
Named Entity Recognition as Dependency Parsing. CoRR abs/2005.07150 (2020) - [i11]Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. CoRR abs/2011.00245 (2020) - [i10]Abdulrahman Aloraini, Juntao Yu, Massimo Poesio:
Neural Coreference Resolution for Arabic. CoRR abs/2011.00286 (2020)
2010 – 2019
- 2019
- [c107]Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio:
Crowdsourcing and Aggregating Nested Markable Annotations. ACL (1) 2019: 797-807 - [c106]Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube:
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection. ACL (1) 2019: 4168-4178 - [c105]Christopher Madge, Richard A. Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
Incremental Game Mechanics Applied to Text Annotation. CHI PLAY 2019: 545-558 - [c104]Chris Madge, Richard A. Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
The Design Of A Clicker Game for Text Labelling. CoG 2019: 1-4 - [c103]Doruk Kicikoglu, Richard A. Bartle, Jon Chamberlain, Massimo Poesio:
Wormingo: a 'true gamification' approach to anaphoric annotation. FDG 2019: 75:1-75:7 - [c102]Chris Madge, Richard A. Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
Making text annotation fun with a clicker game. FDG 2019: 77:1-77:6 - [c101]Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio:
Progression in a Language Annotation Game with a Purpose. HCOMP 2019: 77-85 - [c100]Massimo Poesio, Jon Chamberlain, Silviu Paun, Juntao Yu, Alexandra Uma, Udo Kruschwitz:
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation. NAACL-HLT (1) 2019: 1778-1789 - [i9]Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube:
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection. CoRR abs/1906.06703 (2019) - [i8]Juntao Yu, Bernd Bohnet, Massimo Poesio:
Neural Mention Detection. CoRR abs/1907.12524 (2019) - [i7]Keith Vella, Massimo Poesio, Michael Sigamani, Cihan Dogan, Aimore Dutra, Dimitrios Dimakopoulos, Alfredo Gemma, Ella Walters:
Measuring Conversational Fluidity in Automated Dialogue Agents. CoRR abs/1910.11790 (2019) - [i6]Juntao Yu, Alexandra Uma, Massimo Poesio:
A Cluster Ranking Model for Full Anaphora Resolution. CoRR abs/1911.09532 (2019) - 2018
- [j29]Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
Optimising crowdsourcing efficiency: Amplifying human computation with validation. it Inf. Technol. 60(1): 41-49 (2018) - [j28]Silviu Paun, Bob Carpenter, Jon Chamberlain, Dirk Hovy, Udo Kruschwitz, Massimo Poesio:
Comparing Bayesian Models of Annotation. Trans. Assoc. Comput. Linguistics 6: 571-585 (2018) - [c99]Silviu Paun, Jon Chamberlain, Udo Kruschwitz, Juntao Yu, Massimo Poesio:
A Probabilistic Annotation Model for Crowdsourcing Coreference. EMNLP 2018: 1926-1937 - 2017
- [j27]Andrew J. Anderson, Douwe Kiela, Stephen Clark, Massimo Poesio:
Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns. Trans. Assoc. Comput. Linguistics 5: 17-30 (2017) - [c98]Chris Madge, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
Experiment-Driven Development of a GWAP for Marking Segments in Text. CHI PLAY (Companion) 2017: 397-404 - [c97]Sophie Chesney, Maria Liakata, Massimo Poesio, Matthew Purver:
Incongruent Headlines: Yet Another Way to Mislead Your Readers. NLPmJ@EMNLP 2017: 56-61 - 2016
- [c96]Fabio Celli, Evgeny A. Stepanov, Massimo Poesio, Giuseppe Riccardi:
Predicting Brexit: Classifying Agreement is Better than Sentiment and Pollsters. PEOPLES@COLING 2016: 110-118 - [c95]Ayman Alhelbawy, Massimo Poesio, Udo Kruschwitz:
Towards a Corpus of Violence Acts in Arabic Social Media. LREC 2016 - [c94]Jon Chamberlain, Massimo Poesio, Udo Kruschwitz:
Phrase Detectives Corpus 1.0 Crowdsourced Anaphoric Coreference. LREC 2016 - [c93]Mijail A. Kabadjov, Udo Kruschwitz, Massimo Poesio, Josef Steinberger, Marc Poch, Hugo Zaragoza:
The OnForumS corpus from the Shared Task on Online Forum Summarisation at MultiLing 2015. LREC 2016 - [c92]Olga Uryupina, Ron Artstein, Antonella Bristot, Federica Cavicchio, Kepa Joseba Rodríguez, Massimo Poesio:
ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions. LREC 2016 - [c91]Ander Soraluze, Olatz Arregi, Xabier Arregi, Arantza Díaz de Ilarraza, Mijail A. Kabadjov, Massimo Poesio:
Coreference Resolution for the Basque Language with BART. CORBON@HLT-NAACL 2016: 67-73 - [p11]Massimo Poesio:
Linguistic and Cognitive Evidence About Anaphora. Anaphora Resolution - Algorithms, Resources, and Applications 2016: 23-54 - [p10]Massimo Poesio, Roland Stuckardt, Yannick Versley, Renata Vieira:
Early Approaches to Anaphora Resolution: Theoretically Inspired and Heuristic-Based. Anaphora Resolution - Algorithms, Resources, and Applications 2016: 55-94 - [p9]Massimo Poesio, Sameer Pradhan, Marta Recasens, Kepa Joseba Rodríguez, Yannick Versley:
Annotated Corpora and Annotation Tools. Anaphora Resolution - Algorithms, Resources, and Applications 2016: 97-140 - [p8]Olga Uryupina, Mijail A. Kabadjov, Massimo Poesio:
Detecting Non-reference and Non-anaphoricity. Anaphora Resolution - Algorithms, Resources, and Applications 2016: 369-392 - [p7]Yannick Versley, Massimo Poesio, Simone Paolo Ponzetto:
Using Lexical and Encyclopedic Knowledge. Anaphora Resolution - Algorithms, Resources, and Applications 2016: 393-429 - [p6]Josef Steinberger, Mijail A. Kabadjov, Massimo Poesio:
Coreference Applications to Summarization. Anaphora Resolution - Algorithms, Resources, and Applications 2016: 433-456 - [p5]Massimo Poesio, Roland Stuckardt, Yannick Versley:
Challenges and Directions of Further Research. Anaphora Resolution - Algorithms, Resources, and Applications 2016: 487-500 - [e2]Massimo Poesio, Roland Stuckardt, Yannick Versley:
Anaphora Resolution - Algorithms, Resources, and Applications. Theory and Applications of Natural Language Processing, Springer 2016, ISBN 978-3-662-47908-7 [contents] - 2015
- [j26]Andrew J. Anderson, Elia Bruni, Alessandro Lopopolo, Massimo Poesio, Marco Baroni:
Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text. NeuroImage 120: 309-322 (2015) - [j25]Utpal Kumar Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio:
Differential evolution-based feature selection technique for anaphora resolution. Soft Comput. 19(8): 2149-2161 (2015) - [j24]Maha Althobaiti, Udo Kruschwitz, Massimo Poesio:
Combining Minimally-supervised Methods for Arabic Named Entity Recognition. Trans. Assoc. Comput. Linguistics 3: 243-255 (2015) - [c90]Miguel Martinez-Alvarez, Udo Kruschwitz, Wesley Hall, Massimo Poesio:
Signal: Advanced Real-Time Information Filtering. ECIR 2015: 793-796 - [c89]Giuseppe Riccardi, Frédéric Béchet, Morena Danieli, Benoît Favre, Robert J. Gaizauskas, Udo Kruschwitz, Massimo Poesio:
The SENSEI Project: Making Sense of Human Conversations. FETLT 2015: 10-33 - [c88]Mijail A. Kabadjov, Josef Steinberger, Emma Barker, Udo Kruschwitz, Massimo Poesio:
OnForumS: The Shared Task on Online Forum Summarisation at MultiLing'15. FIRE 2015: 21-26 - [c87]Massimo Poesio, Jon Chamberlain, Udo Kruschwitz, Livio Robaldo, Luca Ducceschi:
Phrase Detectives: Utilizing Collective Intelligence for Internet-Scale Language Resource Creation (Extended Abstract). IJCAI 2015: 4202-4206 - [c86]George Giannakopoulos, Jeff Kubina, John M. Conroy, Josef Steinberger, Benoît Favre, Mijail A. Kabadjov, Udo Kruschwitz, Massimo Poesio:
MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations. SIGDIAL Conference 2015: 270-274 - 2014
- [j23]Andrew J. Anderson, Brian Murphy, Massimo Poesio:
Discriminating Taxonomic Categories and Domains in Mental Simulations of Concepts of Varying Concreteness. J. Cogn. Neurosci. 26(3): 658-681 (2014) - [j22]Yuqiao Gu, Fabio Celli, Josef Steinberger, Andrew J. Anderson, Massimo Poesio, Carlo Strapparava, Brian Murphy:
Using Brain Data for Sentiment Analysis. J. Lang. Technol. Comput. Linguistics 29(1): 79-94 (2014) - [c85]Maha Althobaiti, Udo Kruschwitz, Massimo Poesio:
Automatic Creation of Arabic Named Entity Annotated Corpus Using Wikipedia. EACL 2014: 106-115 - [c84]Tommaso Fornaciari, Massimo Poesio:
Identifying fake Amazon reviews as learning from crowds. EACL 2014: 279-287 - [c83]Maha Althobaiti, Udo Kruschwitz, Massimo Poesio:
AraNLP: a Java-based Library for the Processing of Arabic Text. LREC 2014: 4134-4138 - [i5]Fabio Celli, Massimo Poesio:
PR2: A Language Independent Unsupervised Tool for Personality Recognition from Text. CoRR abs/1402.2796 (2014) - 2013
- [j21]Tommaso Fornaciari, Massimo Poesio:
Automatic deception detection in Italian court cases. Artif. Intell. Law 21(3): 303-340 (2013) - [j20]Utpal Kumar Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio:
Resolución de anáfora para el bengalí: un experimento con la aplicación al dominio. Computación y Sistemas 17(2) (2013) - [j19]Massimo Poesio, Jon Chamberlain, Udo Kruschwitz, Livio Robaldo, Luca Ducceschi:
Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation. ACM Trans. Interact. Intell. Syst. 3(1): 3:1-3:44 (2013) - [c82]Tommaso Fornaciari, Fabio Celli, Massimo Poesio:
The Effect of Personality Type on Deceptive Communication Style. EISIC 2013: 1-6 - [c81]Andrew J. Anderson, Elia Bruni, Ulisse Bordignon, Massimo Poesio, Marco Baroni:
Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts. EMNLP 2013: 1960-1970 - [c80]Utpal Kumar Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio:
Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language. IJCNLP 2013: 815-821 - [c79]Maha Althobaiti, Udo Kruschwitz, Massimo Poesio:
A Semi-supervised Learning Approach to Arabic Named Entity Recognition. RANLP 2013: 32-40 - [p4]Jon Chamberlain, Karën Fort, Udo Kruschwitz, Mathieu Lafourcade, Massimo Poesio:
Using Games to Create Language Resources: Successes and Limitations of the Approach. The People's Web Meets NLP 2013: 3-44 - [r1]Jon Chamberlain, Udo Kruschwitz, Massimo Poesio:
Methods for Engaging and Evaluating Users of Human Computation Systems. Handbook of Human Computation 2013: 679-694 - 2012
- [j18]Hiroyuki Akama, Brian Murphy, Li Na, Yumiko Shimizu, Massimo Poesio:
Decoding semantics across fMRI sessions with different stimulus modalities: a practical MVPA study. Frontiers Neuroinformatics 6: 24 (2012) - [j17]Federica Cavicchio, Massimo Poesio:
(Non)cooperative Dialogues: The Role of Emotions. Hum. Factors 54(4): 546-559 (2012)