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Hits 1 – 20 of 85
1
Social changes through the lens of language: A big data study of Chinese modal verbs
Wang, Shan
;
Liu, Ruhan
;
Huang, Chu-Ren
In: PLoS One (2022)
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2
Not all arguments are processed equally: a distributional model of argument complexity [<Journal>]
Chersoni, Emmanuele
[Verfasser];
Santus, Enrico
[Verfasser];
Lenci, Alessandro
[Verfasser].
DNB Subject Category Language
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3
From language to meteorology: kinesis in weather events and weather verbs across Sinitic languages [<Journal>]
Huang, Chu-Ren
[Verfasser];
Dong, Sicong
[Verfasser];
Yang, Yike
[Verfasser].
DNB Subject Category Language
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4
Database of word-level statistics for Mandarin Chinese (DoWLS-MAN)
Neergaard, Karl David
;
Xu, Hongzhi
;
German, James Sneed
...
In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-03328510 ; Behavior Research Methods, Psychonomic Society, Inc, In press, ⟨10.3758/s13428-021-01620-7⟩ (2021)
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5
Not all arguments are processed equally: a distributional model of argument complexity
Chersoni, Emmanuele
;
Santus, Enrico
;
Lenci, Alessandro
...
In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03533181 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (4), pp.873-900. ⟨10.1007/s10579-021-09533-9⟩ (2021)
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6
Distribution of Mandarin synesthetic adjectives in five senses
Zhao, Qingqing
;
Ahrens, Kathleen
;
Huang, Chu-Ren
. - : Institute of Linguistics, Chinese Academy of Social Sciences, 2021
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7
Not all arguments are processed equally: a distributional model of argument complexity
Chersoni, Emmanuele
;
Santus, Enrico
;
Lenci, Alessandro
...
In: Springer Netherlands (2021)
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8
From Contact Prevention to Social Distancing: The Co-Evolution of Bilingual Neologisms and Public Health Campaigns in Two Cities in the Time of COVID-19 ...
Wang, Xiaowen
;
Huang, Chu-Ren
. - : SAGE Journals, 2021
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9
From Contact Prevention to Social Distancing: The Co-Evolution of Bilingual Neologisms and Public Health Campaigns in Two Cities in the Time of COVID-19 ...
Wang, Xiaowen
;
Huang, Chu-Ren
. - : SAGE Journals, 2021
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10
Automatic Analysis of Linguistic Features in Journal Articles of Different Academic Impacts with Feature Engineering Techniques ...
Lei, Siyu
;
Yang, Ruiying
;
Huang, Chu-Ren
. - : arXiv, 2021
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11
Decoding Word Embeddings with Brain-Based Semantic Features ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chersoni, Emmanuele
;
Huang, Chu-ren
. - : Underline Science Inc., 2021
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12
Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Yu-yin
;
Chersoni, Emmanuele
. - : Underline Science Inc., 2021
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13
Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features ...
Liesenfeld, Andreas
;
Parti, Gábor
;
Hsu, Yu-Yin
. - : arXiv, 2021
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14
Improving attention model based on cognition grounded data for sentiment analysis
Long, Yunfei
;
Xiang, Rong
;
Lu, Qin
. - : Institute of Electrical and Electronics Engineers, 2021
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15
Lexical data augmentation for sentiment analysis
Xiang, Rong
;
Chersoni, Emmanuele
;
Lu, Qin
. - : Wiley, 2021
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16
From new form to new entry: introduction to the special theme on loanwords and non-standard orthography [<Journal>]
Huang, Chu-Ren
[Verfasser];
Wang, Shan
[Verfasser]
DNB Subject Category Language
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17
Orthographic features for emotion classification in Chinese in informal short texts [<Journal>]
Long, Yunfei
[Verfasser];
Huang, Chu-Ren
[Verfasser];
Lu, Qin
[Verfasser].
DNB Subject Category Language
Show details
18
Comparing Probabilistic, Distributional and Transformer-Based Models on Logical Metonymy Interpretation
Rambelli, Giulia
;
Chersoni, Emmanuele
;
Lenci, Alessandro
;
Blache, Philippe
;
Huang, Chu-Ren
In: Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP) ; https://hal.archives-ouvertes.fr/hal-03042410 ; Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP), Dec 2020, Suzhou, China (2020)
Abstract:
International audience ; In linguistics and cognitive science, Logical metonymies are defined as type clashes between an event-selecting verb and an entitydenoting noun (e.g. The editor finished the article), which are typically interpreted by inferring a hidden event (e.g. reading) on the basis of contextual cues. This paper tackles the problem of logical metonymy interpretation, that is, the retrieval of the covert event via computational methods. We compare different types of models, including the probabilistic and the distributional ones previously introduced in the literature on the topic. For the first time, we also tested on this task some of the recent Transformer-based models, such as BERT, RoBERTa, XLNet, and GPT-2. Our results show a complex scenario, in which the best Transformer-based models and some traditional distributional models perform very similarly. However, the low performance on some of the testing datasets suggests that logical metonymy is still a challenging phenomenon for computational modeling.
Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
;
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
;
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
;
[SCCO.LING]Cognitive science/Linguistics
;
[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
URL:
https://hal.archives-ouvertes.fr/hal-03042410/file/Rambelli_AACL.pdf
https://hal.archives-ouvertes.fr/hal-03042410
https://hal.archives-ouvertes.fr/hal-03042410/document
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19
SemTransCNC
Wang, Shichang
;
Huang, Chu-Ren
;
Yao, Yao
. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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20
EVALution
Santus, Enrico
;
Liu, Hongchao
;
Huang, Chu-Ren
. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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