標(biāo)題: Titlebook: Computational Processing of the Portuguese Language; 15th International C Vládia Pinheiro,Pablo Gamallo,Hugo Pinto Conference proceedings 2 [打印本頁] 作者: malcontented 時(shí)間: 2025-3-21 16:17
書目名稱Computational Processing of the Portuguese Language影響因子(影響力)
書目名稱Computational Processing of the Portuguese Language影響因子(影響力)學(xué)科排名
書目名稱Computational Processing of the Portuguese Language網(wǎng)絡(luò)公開度
書目名稱Computational Processing of the Portuguese Language網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Processing of the Portuguese Language被引頻次
書目名稱Computational Processing of the Portuguese Language被引頻次學(xué)科排名
書目名稱Computational Processing of the Portuguese Language年度引用
書目名稱Computational Processing of the Portuguese Language年度引用學(xué)科排名
書目名稱Computational Processing of the Portuguese Language讀者反饋
書目名稱Computational Processing of the Portuguese Language讀者反饋學(xué)科排名
作者: 綠州 時(shí)間: 2025-3-21 21:36 作者: 淘氣 時(shí)間: 2025-3-22 04:22 作者: deriver 時(shí)間: 2025-3-22 05:56 作者: 光明正大 時(shí)間: 2025-3-22 10:26 作者: Intersect 時(shí)間: 2025-3-22 16:15 作者: Intersect 時(shí)間: 2025-3-22 18:12 作者: Genistein 時(shí)間: 2025-3-22 22:20
Conference proceedings 2022in Fortaleza, Brazil, in March 2021...The 36 full papers presented together with 4 short papers were carefully reviewed and selected from 88 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural 作者: 谷物 時(shí)間: 2025-3-23 04:51
0302-9743 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural language processing tasks; and multilinguality..978-3-030-98304-8978-3-030-98305-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 誘拐 時(shí)間: 2025-3-23 07:17
Koordination von Zuliefernetzwerkennd an internally built NMT system trained over 30?h on 2,5M sentences. It was found that ambiguity, named entity & terminology and verb valency are the categories where MT systems struggle most. Negation, pronouns, subordination, verb tense/aspect/mood and false friends are the categories where MT systems perform best.作者: 意外的成功 時(shí)間: 2025-3-23 11:18 作者: FICE 時(shí)間: 2025-3-23 17:33 作者: 同義聯(lián)想法 時(shí)間: 2025-3-23 20:44
Vera Schmitt,Elisabeth Fr?hlich information to, for instance, check whether any product was bought or sold by a business without issuing an invoice. The results were evaluated according to precision, recall, and f-score. The proposed approach can correctly detect more than 90% of cases of each type of information, showing its feasibility to process invoice data.作者: Indelible 時(shí)間: 2025-3-24 01:11
https://doi.org/10.1007/978-3-658-38350-3also present an automatic process for the corpus creation, which allows keeping it constantly updated. To validate our results and methodology, we performed a news classification experiment using the LSTM model, and we achieved great results, with a precision of 97% on classifying fake news and 92% on classifying real news.作者: Harbor 時(shí)間: 2025-3-24 04:10 作者: 掙扎 時(shí)間: 2025-3-24 10:30 作者: 織布機(jī) 時(shí)間: 2025-3-24 11:51
Fakepedia Corpus: A Flexible Fake News Corpus in Portuguesealso present an automatic process for the corpus creation, which allows keeping it constantly updated. To validate our results and methodology, we performed a news classification experiment using the LSTM model, and we achieved great results, with a precision of 97% on classifying fake news and 92% on classifying real news.作者: 進(jìn)入 時(shí)間: 2025-3-24 18:36
CRPC-DB a Discourse Bank for Portugueseannotator agreement was performed and holds results of 0.88 F1-score for discourse relation identification, 0.71 Cohen’s K for the classification of discourse relation types, and 0,75 for top-level sense classification. The CRPC-DB will be distributed free of charge through the PORTULAN CLARIN infrastructure.作者: nonchalance 時(shí)間: 2025-3-24 21:53 作者: cumulative 時(shí)間: 2025-3-25 03:11
Standortplanung in der Katastrophenlogistikactors in long-distance dependencies. Moreover, the different behavior of monolingual models trained with the same corpora reinforces the need for a deep exploration of the network architectures and their learning process.作者: Grandstand 時(shí)間: 2025-3-25 04:58 作者: vitreous-humor 時(shí)間: 2025-3-25 10:59 作者: Mitigate 時(shí)間: 2025-3-25 14:02
A Targeted Assessment of the Syntactic Abilities of Transformer Models for Galician-Portugueseactors in long-distance dependencies. Moreover, the different behavior of monolingual models trained with the same corpora reinforces the need for a deep exploration of the network architectures and their learning process.作者: CLASH 時(shí)間: 2025-3-25 15:48 作者: HEAVY 時(shí)間: 2025-3-25 23:39 作者: Guileless 時(shí)間: 2025-3-26 00:58 作者: 染色體 時(shí)間: 2025-3-26 06:23
FakeRecogna: A New Brazilian Corpus for Fake News Detectionperform a toy evaluation over the created dataset using traditional classifiers such as Naive Bayes, Optimum-Path Forest, and Support Vector Machines. A Convolutional Neural Network is also evaluated in the context of fake news detection in the proposed dataset.作者: 兩種語言 時(shí)間: 2025-3-26 11:47
SS-PT: A Stance and Sentiment Data Set from Portuguese Quoted Tweetsneutral, sarcasm or inconclusive. Our annotators yield strong inter-annotator agreement. In addition, we test a baseline model using a pre-trained BERT model for Portuguese. Results suggest that our data set is in line with its counterparts in other languages.作者: 遵循的規(guī)范 時(shí)間: 2025-3-26 12:38 作者: ACE-inhibitor 時(shí)間: 2025-3-26 18:43 作者: ostensible 時(shí)間: 2025-3-26 23:52 作者: 膠狀 時(shí)間: 2025-3-27 02:54
MINT - Mainstream and?Independent News Text Corpusary classification problem. However, such approach oversimplifies the diversity of properties usually associated with credibility of different textual genres and types. To address this problem, we created MINT, a comprehensive annotated corpus of online articles collected from mainstream and indepen作者: 記憶 時(shí)間: 2025-3-27 08:19 作者: 招募 時(shí)間: 2025-3-27 13:25 作者: 含鐵 時(shí)間: 2025-3-27 14:38 作者: CHARM 時(shí)間: 2025-3-27 20:16 作者: CRAFT 時(shí)間: 2025-3-28 01:49
CRPC-DB a Discourse Bank for Portuguese annotation. The annotation is performed on the PAROLE corpus, a free subset of the Reference Corpus of Contemporary Portuguese (CRPC) that includes news, fiction and didactic/scientific texts. The discourse bank covers explicit and implicit relations at intra and inter-sentential levels, and includ作者: exceptional 時(shí)間: 2025-3-28 04:21
Challenges in?Annotating a?Treebank of?Clinical Narratives in?Brazilian Portugueses are essential to deal with clinical narratives, but models for Brazilian Portuguese dependency parsing are scarce, even less for clinical texts and its specificities. This paper reports on the development of a treebank of clinical narratives in Brazilian Portuguese and the drafting of guidelines. 作者: vector 時(shí)間: 2025-3-28 08:52 作者: Frequency 時(shí)間: 2025-3-28 13:00 作者: 背心 時(shí)間: 2025-3-28 18:03 作者: Complement 時(shí)間: 2025-3-28 19:16 作者: abduction 時(shí)間: 2025-3-29 00:34 作者: Conquest 時(shí)間: 2025-3-29 06:08 作者: Amorous 時(shí)間: 2025-3-29 08:43
Entity Extraction from Portuguese Legal Documents Using Distant Supervisionnput document. In this work, we leverage an existing knowledge base (KB) of entities to perform document-level REE from drug seizure petitions. We propose a system that learns to extract entities from petitions to fill 29 roles of a drug seizure event. Although we have access to a KB covering more t作者: 冒號(hào) 時(shí)間: 2025-3-29 15:07 作者: single 時(shí)間: 2025-3-29 18:05 作者: 漂亮才會(huì)豪華 時(shí)間: 2025-3-29 20:22
Computational Processing of the Portuguese Language978-3-030-98305-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 新娘 時(shí)間: 2025-3-30 02:42 作者: 侵略主義 時(shí)間: 2025-3-30 05:25 作者: V洗浴 時(shí)間: 2025-3-30 09:02 作者: DEAF 時(shí)間: 2025-3-30 13:36
https://doi.org/10.1007/978-3-658-38350-3nt of health crises. In this context, automatic fake news classification systems have been profitably created to tackle this problem. These systems require balanced corpus to be used as training data for the machine learning models. In this article, we present a flexible corpus of fake news in Portu作者: 任命 時(shí)間: 2025-3-30 18:07
Standortplanung in der Katastrophenlogistikhow these models, trained with a masked language modeling objective, encode syntactic knowledge. To do so, we created a new dataset including test instances of number (subject-verb), gender (subject-predicative adjective), and person (subject-inflected infinitive) agreement. This dataset was used to作者: instulate 時(shí)間: 2025-3-30 23:42
