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1
Not all arguments are processed equally: a distributional model of argument complexity
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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2
Not all arguments are processed equally: a distributional model of argument complexity
In: Springer Netherlands (2021)
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3
Decoding Word Embeddings with Brain-Based Semantic Features ...
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4
EVALution
Santus, Enrico; Liu, Hongchao; Huang, Chu-Ren. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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5
EVALution ...
Liu, Hongchao; Huang, Chu-Ren; Santus, Enrico. - : Linguistic Data Consortium, 2020
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6
A Structured Distributional Model of Sentence Meaning and Processing
In: ISSN: 1351-3249 ; EISSN: 1469-8110 ; Natural Language Engineering ; https://hal.archives-ouvertes.fr/hal-02151765 ; Natural Language Engineering, Cambridge University Press (CUP), 2019, 25, no. 4 (2019)
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7
A Structured Distributional Model of Sentence Meaning and Processing ...
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8
Testing APSyn against Vector Cosine on Similarity Estimation
In: PACLIC-2016 ; https://hal.archives-ouvertes.fr/hal-01462134 ; PACLIC-2016, 2016, Seoul, South Korea (2016)
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9
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
In: EMNLP-2016 ; https://hal.archives-ouvertes.fr/hal-01462135 ; EMNLP-2016, 2016, Austin, United States (2016)
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10
ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms ...
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11
Nine Features in a Random Forest to Learn Taxonomical Semantic Relations ...
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12
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity ...
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