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Chersoni, E
26  results:
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1

A structured distributional model of sentence meaning and p..:

Chersoni, E. ; Santus, E. ; Pannitto, L....
Natural Language Engineering.  25 (2019)  4 - p. 483-502 , 2019
Link: https://doi.org/10.1017/..
 
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2

Are language models sensitive to semantic attraction? A stu..:

Cong, Y ; Chersoni, E ; Hsu, Y Y.
The 12th Joint Conference on Lexical and Computational Semantics: Proceedings of the Conference (*SEM 2023).  , 2023
Link: http://hdl.handle.net/10..
 
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3

NADE : a benchmark for robust adverse drug events extractio..:

Scaboro, S ; Portelli, B ; Chersoni, E..
Workshop on Noisy User-generated Text [W-NUT].  , 2023
Link: http://hdl.handle.net/10..
 
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4

Decoding word embeddings with brain-based semantic features:

Chersoni, E ; Santus, E ; Huang, CR.
0891-2017.  , 2023
Link: http://hdl.handle.net/10..
 
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5

Are frequent phrases directly retrieved like idioms ? An in..:

Rambelli, G ; Chersoni, E ; Senaldi, M..
Workshop on Multiword Expressions [MWE].  , 2023
Link: http://hdl.handle.net/10..
 
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6

Iconic bias in Italian spatial demonstratives:

Joo, I ; Hsu, YY ; Chersoni, E
0726-8602.  , 2023
Link: http://hdl.handle.net/10..
 
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7

Did the cat drink the coffee ? Challenging transformers wit..:

Pedinotti, P ; Rambelli, G ; Chersoni, E...
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics.  , 2023
Link: http://hdl.handle.net/10..
 
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8

Comparing and predicting eye-tracking data in Mandarin and ..:

Li, J ; Peng, B ; Hsu, YY.
Workshop on NLP for Similar Languages, Varieties and Dialects [VarDial].  , 2023
Link: http://hdl.handle.net/10..
 
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9

Exploring a unified sequence-to-sequence transformer for me..:

Raval, S ; Sedghamiz, H ; Santus, E...
Findings of the Association for Computational Linguistics [Findings].  , 2023
Link: http://hdl.handle.net/10..
 
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10

PolyU-CBS at TSAR-2022 : a simple, rank-based method for co..:

Chersoni, E ; Hsu, YY
Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022).  , 2023
Link: http://hdl.handle.net/10..
 
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11

Looking for a role for word embeddings in eye-tracking feat..:

Salicchi, L ; Lenci, A ; Chersoni, E
International Conference on Computational Semantics [IWCS].  , 2023
Link: http://hdl.handle.net/10..
 
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12

CMCL 2021 shared task on eye-tracking prediction:

Hollenstein, N ; Chersoni, E ; Jacobs, C...
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics.  , 2023
Link: http://hdl.handle.net/10..
 
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13

Is domain adaptation worth your investment? Comparing BERT ..:

Peng, B ; Chersoni, E ; Hsu, YY.
Proceedings of the Third Workshop on Economics and Natural Language Processing (ECONLP 2021), November 11, 2021, Punta Cana, Dominican Republic and Online.  , 2022
Link: http://hdl.handle.net/10..
 
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14

Using conceptual norms for metaphor detection:

Wan, M ; Ahrens, K ; Chersoni, E...
Workshop on Figurative Language Processing.  , 2022
Link: http://hdl.handle.net/10..
 
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15

Modeling the influence of verb aspect on the activation of ..:

Cho, WI ; Chersoni, E ; Hsu, YY.
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, August 1 - 6, 2021.  , 2022
Link: http://hdl.handle.net/10..
 
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