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1	The Psychological Effects of Digital Companies’ Employees during the Phase of COVID-19 Pandemic Extracted from Online Employee Reviews
	Zhuo-Ming Ren; Wen-Li Du; Xing-Zhang Wen
	In: Sustainability; Volume 14; Issue 5; Pages: 2609 (2022)
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2	Exploring Bidirectional Performance of Hotel Attributes through Online Reviews Based on Sentiment Analysis and Kano-IPA Model
	Yanyan Chen; Yumei Zhong; Sumin Yu; Yan Xiao; Sining Chen
	In: Applied Sciences; Volume 12; Issue 2; Pages: 692 (2022)
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3	Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
	Chia-Hsien Weng; Kuan-Cheng Lin; Jia-Ching Ying
	In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
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4	Predicting Institution Outcomes for Inter Partes Review (IPR) Proceedings at the United States Patent Trial & Appeal Board by Deep Learning of Patent Owner Preliminary Response Briefs
	Bahrad A. Sokhansanj; Gail L. Rosen
	In: Applied Sciences; Volume 12; Issue 7; Pages: 3656 (2022)
	Abstract: A key challenge for artificial intelligence in the legal field is to determine from the text of a party’s litigation brief whether, and why, it will succeed or fail. This paper shows a proof-of-concept test case from the United States: predicting outcomes of post-grant inter partes review (IPR) proceedings for invalidating patents. The objectives are to compare decision-tree and deep learning methods, validate interpretability methods, and demonstrate outcome prediction based on party briefs. Specifically, this study compares and validates two distinct approaches: (1) representing documents with term frequency inverse document frequency (TF-IDF), training XGBoost gradient-boosted decision-tree models, and using SHAP for interpretation. (2) Deep learning of document text in context, using convolutional neural networks (CNN) with attention, and comparing LIME and attention visualization for interpretability. The methods are validated on the task of automatically determining case outcomes from unstructured written decision opinions, and then used to predict trial institution or denial based on the patent owner’s preliminary response brief. The results show how interpretable deep learning architecture classifies successful/unsuccessful response briefs on temporally separated training and test sets. More accurate prediction remains challenging, likely due to the fact-specific, technical nature of patent cases and changes in applicable law and jurisprudence over time.
	Keyword: explainable artificial intelligence; interpretable machine learning; law; litigation; natural language processing; patents; post-grant reviews
	URL: https://doi.org/10.3390/app12073656
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5	Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis
	Ala’ M. Al-Zoubi; Antonio M. Mora; Hossam Faris
	In: Applied Sciences; Volume 12; Issue 7; Pages: 3634 (2022)
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6	Review of Creating orthographies for endangered languages.
	Hauk, Bryn. - : University of Hawaii Press, 2022
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7	[Ressenya del llibre] Julià-Muné, Joan (2019): Un segle de lingüística catalana: de la Lletra de convit a la GCC (1901- 2002). Lleida: Edicions de la Universitat de Lleida, 256 p
	Feliu, Francesc
	In: Estudis romànics, 2022, vol. 44, p. 493-495 ; Ressenyes publicades (D-FLC) (2022)
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8	Beke Hansen: Corpus linguistics and sociolinguistics. Leiden: Brill Rodopi, 2018
	Westphal, Michael
	In: English language and linguistics. - Cambridge : Cambridge Univ. Press 25 (2021) 1, 205-210
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9	Jana Štefaňáková: Rodovo symetrický jazyk v slovenskom a nemeckom jazykovom prostredí v kontexte európskej rodovej politiky a gender mainstreamingu. Univerzita Mateja Bela v Banskej Bystrici: Belianum, 2020
	Kolek, Vit
	In: Ostravská univerzita / Filozofická fakulta. Studia Germanistica. - Ostrava : Univ. 28 (2021), 137-139
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10	M. Silvia Micheli: Composizione italiana in diacronia. Berlin: De Gruyter, 2020
	Rainer, Franz
	In: Romanische Forschungen. - Frankfurt, M. : Klostermann 133 (2021) 4, 521-529
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11	Paula Rodríguez-Puente: The English phrasal verb, 1650-present. Cambridge: Cambridge University Press, 2019
	Claridge, Claudia
	In: English language and linguistics. - Cambridge : Cambridge Univ. Press 25 (2021) 2, 413-418
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12	Thomas Brunner: Simplicity and typological effects in the emergence of New Englishes. Berlin: De Gruyter Mouton, 2017
	Oppliger, Rahel
	In: English world-wide. - Amsterdam [u.a.] : Benjamins 42 (2021) 2, 227-231
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13	Ana Estrada Arráez: The loss of intervocalic /d/ in European Peninsular Spanish. Salamanca: Ediciones Universidad de Salamanca, 2019
	Zampaulo, André
	In: Revue de linguistique romane. - Strasbourg : Soc. de Linguistique Romane 85 (2021) 339-340, 558-560
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14	Adaptive Kompetenzen von Kindern mit Down-Syndrom – ein Follow-up über zehn Jahre ... : Adaptive competences of children with Down syndrome - a ten-year follow-up ...
	Sarimski, Klaus. - : Pabst Science Publishers, 2021
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15	Predicting emotional links between genre, plot, and reader response ...
	Sharma, Srishti. - : Open Science Framework, 2021
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16	Adaptive Kompetenzen von Kindern mit Down-Syndrom – ein Follow-up über zehn Jahre ; Adaptive competences of children with Down syndrome - a ten-year follow-up
	Sarimski, Klaus
	In: Empirische Sonderpädagogik 13 (2021) 2, S. 100-109 (2021)
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17	School-based language and literacy interventions for multilingual children and adolescents: A systematic evidence map and an overview of reviews ...
	von Hagen, Alexa. - : Open Science Framework, 2021
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18	Sentiment analysis in Galaxy with IMDB movie review dataset ...
	Kaivan Kamali. - : Zenodo, 2021
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19	Sentiment analysis in Galaxy with IMDB movie review dataset ...
	Kaivan Kamali. - : Zenodo, 2021
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20	E se a marca me responde com emoji?: impacto das características da CMC na perceção e atitudes face à marca
	Cruz, Sara Catarina Pires Antunes. - 2021
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