Latent Graph Induction Networks and Dependency Graph Networks for Events Detection by Jing Yang, Hu Gao, Depeng Dang

“…In real-world scenarios, multiple events often coexist within the same sentence, making the extraction of these events more challenging than extracting a single event. …”
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The Relevance of Biblical Exegesis to the Study of the Dynamics of the Educational Relationship in Contemporary Pedagogy. An Example of the Biblical Story of the Calling of Levi by Leszek Waga

“…The interpretative possibilities of this story, or rather of the one sentence linking the calling with the description of the meal (Mark 2:15), will be presented in the light of contemporary possibilities of biblical exegesis. …”
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An Unbridgeable Gap? The Treatment of Definiteness Restrictions in French and Chinese Presentational Constructions by Ludovica Lena

“…It is shown that most il y a-constructions appear in enumerative contexts (including the sentence-level and inter-clause list-reading, as well as the instantiation of an explicit part-whole relation). …”
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Exploring the intricacies of politeness and impoliteness in Acehnese speech variations by Rostina Taib, Muhammad Kiki Wardana, Maya Safhida, Nurrahmah Nurrahmah, Subhayni Subhayni

“…Generally, in Acehnese, language is considered polite if the utterance uses proclitics corresponding to the actor in a sentence. However, in the South West Aceh dialect, this rule does not apply. …”
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A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm by Qinying Yuan

“…For the problem of extracting emotion features of whole-sentence speech, we propose an attention mechanism-based emotion recognition algorithm for variable-length speech and design a spatiotemporal attention module for the speech emotion algorithm and a convolutional channel attention module for the CNN network to reduce the contribution of the spatiotemporal data of the speech emotion algorithm and the unimportant parts of the CNN convolutional channel feature data in the subsequent recognition by the attention mechanism. …”
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Intelligent Topical Sentiment Analysis for the Classification of E-Learners and Their Topics of Interest by M. Ravichandran, G. Kulanthaivel, T. Chellatamilan

“…In this paper, rather than using the opinion polarity of each message relevant to the topic, authors focus on sentence level opinion classification upon using the unsupervised algorithm named bigram item response theory (BIRT). …”
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Key n-Gram Extractions and Analyses of Different Registers Based on Attention Network by Haiyan Wu, Ying Liu, Shaoyun Shi, Qingfeng Wu, Yunlong Huang

“…By summarizing the advantages and disadvantages of existing models, we propose a novel key n-gram extraction model “attentive n-gram network” (ANN) based on the attention mechanism and multilayer perceptron, in which the attention mechanism scores each n-gram in a sentence by mining the internal semantic relationship between words, and their importance is given by the scores. …”
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Auxiliary clitics in Polish by Dorota Jagódzka

“…He concluded that clitics appeared in the second position in the clause, after the first word in a sentence. This pattern was true to some degree in Old Church Slavonic and still holds for a number of contemporary Slavic languages e.g. …”
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Where authority, speech acts and modality meet: A pragmatic analysis of the trial record of King Charles I by Minako Nakayasu, Michi Shiina

“…The analysis of authority, speech acts and modality reveals that the King becomes less authoritative as the trial proceeds, particularly after the sentence has been pronounced. On the other hand, the authority of the Court, which is manifested in the Lord President’s speech, stays the same throughout the course of the trial. …”
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Verbal prefixation and realizations of antipassive alternations in Polish by Katarzyna Mroczyńska

“…The second section, illustrated with examples extracted from the National Corpus of Polish (NKJP) and the corpus of Wielki Słownik Języka Polskiego (KWSJP), gives an overview of Polish perfectivizing verbal prefixes, i.e. a roz‑, na-, o-/ob- and u-prefix, and deals with the effect they may have on sentence structure and semantics. It also shows how the prefixed verbs combine with the marker się, which flags antipassive, i.e. is a recurring marker attested in antipassive constructions in the Polish language. …”
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Language Interference in Arabic Learning: A Case Study of Islamic Boarding Schools in Indonesia by Muhamad Solehudin, Yusuf Arisandi

“…Common interference patterns include mispronunciation of Arabic phonemes absent in students' native languages, the use of Indonesian-influenced sentence structures, and inappropriate vocabulary choices. …”
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L’illusion de la désillusion : Essai d’interprétation génétique de L’Éducation sentimentale by Kazuhiro Matsuzawa

“…In the draft Madame Arnoux’s initial sentence was: “I came to pay back 15 thousand francs”. …”
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p-Norm Broad Learning for Negative Emotion Classification in Social Networks by Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie

“…Then, we employ the fine-tuned RoBERTa to extract features of original texts and generate sentence vectors. Secondly, we adopt p-BL to construct a classifier and then predict negative emotions of texts using the classifier. …”
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Decoding Sentiment in Online Communication: A Social Media Analysis of Fashion Companies by Karolina Mania, Monika Jedynak, Aneta Kuźniarska, Karolina Woszczyna

“…Analysis was performed at sentence, document, and aspect levels, employing both lexicon-based methods and machine learning. …”
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PERIPHRASTIC CONSTRUCTIONS WITH THE VERB IMET’ (TO HAVE) AND THE PASSIVE PARTICIPLE IN PYOTR TOLSTOY’S TRANSLATION OF THE HISTORY OF THE PRESENT STATE OF THE OTTOMAN EMPIRE by Tatiana V. Pentkovskaia

“…Such verbal periphrases occur when there is a direct complement in the sentence. The participle in this construction is most often coordinated with the direct object, but in some examples, it can take the form of the neuter singular. …”
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Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules by Yunguo Yu, Cesar A. Gomez-Cabello, Svetlana Makarova, Yogesh Parte, Sahar Borna, Syed Ali Haider, Ariana Genovese, Srinivasagam Prabha, Antonio J. Forte

“…LLM was trained on encoded pathways versions using DOT language, embedding them with SentenceTransformer, and then presented with hypothetical patient cases. …”
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MT Evaluation in the Context of Language Complexity by Dasa Munkova, Michal Munk, null Ľubomír Benko, Jiri Stastny

“…We examine this impact from the point of view of language complexity in terms of word and sentence structure. By the proposed methodology, we analyzed 24 733 tags of English to Slovak translations of technical texts, corresponding to the output of two MT systems (Google Translate and the European Commission’s MT tool). …”
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Study on Main Drugs and Drug Combinations of Patient-Controlled Analgesia Based on Text Mining by Xing Jin, Ying Wu

“…First, the names of the drugs in the sample were identified by MetaMap package; then, Bicomb software was used to extract high-frequency drugs for the word frequency analysis and to construct a drug-sentence matrix. Finally, “hclust” package and “arules” package of R were used for the cluster analysis and association analysis of drugs. 39 main PCA drugs were screened out. …”
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Qiraat 'Ashr and The Determination of The Concepts of Nasakh and Mansukh by Ismail Abd Halim, Azhar Muhammad, M. Jismani Yusoff

“…Verse 106 of Surah al-Baqarah is among the arguments used by most scholars in setting this concept. However, this sentence contains qiraat differences that can influence interpretation. …”
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Application of Citizen Science to Sheep as a Model to Sensitize Young Citizens to Biodiversity, Animal Welfare and the Social Utility of Research by Sara Moscatelli, Anna Paniccià, Elisa Palmioli, Laura Del Gobbo, Francesca Mercati, Paola Scocco

“…The MPT aim was to evaluate if children had understood the explained topics by true/false options in respect to a sentence. The correlations between MPT scores and school evaluations for science subjects were analyzed. …”
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