標(biāo)題: Titlebook: Computational Processing of the Portuguese Language; 12th International C Jo?o Silva,Ricardo Ribeiro,António Branco Conference proceedings [打印本頁(yè)] 作者: Embolism 時(shí)間: 2025-3-21 18:58
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作者: 協(xié)奏曲 時(shí)間: 2025-3-21 21:43
https://doi.org/10.1007/978-981-10-1723-0 the academic and professional future of every citizen. Tools for classifying the complexity of reading materials for children aim to improve the quality of the model of teaching reading and text comprehension. For English, Feng’s work [.] is considered the state-of-art in grade level prediction and作者: Nomogram 時(shí)間: 2025-3-22 03:50
Strategic Sourcing: Introduction,s that store those triples, related sentences and documents. It processes the questions and retrieves answers based on the triples..For purposes of testing and evaluation, we have used the CHAVE corpus, used in multiple editions of the CLEF multilingual QA tracks. The questions from those editions w作者: Concomitant 時(shí)間: 2025-3-22 08:32 作者: delegate 時(shí)間: 2025-3-22 11:14
https://doi.org/10.1007/978-3-658-26954-8 English to Portuguese for the specific domain of information technology (IT), building a small in-domain parallel corpus to address the lack of IT-specific and publicly-available parallel corpora and then adapted an existing hybrid MT system to the new language pair (English to Portuguese). We furt作者: Intrepid 時(shí)間: 2025-3-22 16:54 作者: Intrepid 時(shí)間: 2025-3-22 19:30 作者: motivate 時(shí)間: 2025-3-23 00:40
https://doi.org/10.1007/978-3-8349-8796-9nd WordAffectBR lexicons, and Sequential Machine Optimization and Naive Bayes algorithms for this task. In our study, we used the Computer-BR corpus that contains messages about the technology area. We obtained better results using the Comprehensive Measurement Feature Selection method and the Seque作者: amorphous 時(shí)間: 2025-3-23 03:00
https://doi.org/10.1007/978-3-8349-8796-9ences, opinions, and feelings of users or customers. These electronic . statements expressed on the web are prevalent in business and service industry to enable a customer to share his/her point of view. However, it is impossible for humans to fully understand it in a reasonable amount of time. Opin作者: 無(wú)可爭(zhēng)辯 時(shí)間: 2025-3-23 06:39
Maximilian Merath,Christoph Bode done for Portuguese. Here, we describe the results of creating a unified environment, entitled Coh-Metrix-Dementia, based on a previous tool to analyze discourse, named Coh-Metrix-Port. After adding 25 new metrics for measuring syntactical complexity, idea density, and text cohesion through latent 作者: 用肘 時(shí)間: 2025-3-23 12:56 作者: overshadow 時(shí)間: 2025-3-23 17:26
Nicolas Fugger,Christian Paul,Achim Wambachences, opinions, and feelings of users or customers. Opinion Mining (OM) is a sub-field of text mining in which the main task is to extract opinions from UGC. Given that Portuguese is one of the most common spoken languages in the world, and it is also the second most frequent on Twitter, the goal o作者: 羊齒 時(shí)間: 2025-3-23 20:24 作者: PON 時(shí)間: 2025-3-23 22:39 作者: Systemic 時(shí)間: 2025-3-24 04:39 作者: Ballerina 時(shí)間: 2025-3-24 08:07
Ramona Niederschweiberer,Florian C. Kleemannguage processing techniques employed. This paper presents the extraction and structuring of open relations between named entities from Portuguese texts. We apply the Conditional Random Fields model for the extraction of relation descriptors between named entities belonging to Person, Place and Organ作者: insomnia 時(shí)間: 2025-3-24 12:52
Computational Processing of the Portuguese Language978-3-319-41552-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: VEST 時(shí)間: 2025-3-24 15:33
Conference proceedings 201616, held in Tomar, Portugal, in July 2016...The 23 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections named: language applications, language processing, and language resources..作者: evanescent 時(shí)間: 2025-3-24 21:30 作者: tenuous 時(shí)間: 2025-3-25 02:38 作者: 閃光東本 時(shí)間: 2025-3-25 06:37
Jo?o Silva,Ricardo Ribeiro,António BrancoIncludes supplementary material: 作者: 立即 時(shí)間: 2025-3-25 07:59
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232921.jpg作者: COLON 時(shí)間: 2025-3-25 13:47 作者: 高射炮 時(shí)間: 2025-3-25 18:46 作者: 小故事 時(shí)間: 2025-3-25 20:56 作者: yohimbine 時(shí)間: 2025-3-26 01:34
Applying Lexical-Conceptual Knowledge for Multilingual Multi-document Summarizationone in the user’s language and one in a foreign language, and presenting it as a summary in the user’s language. Although it is a relevant task due to the increasing amount of on-line information in different languages, there are only baselines for (Brazilian) Portuguese, which apply machine-transla作者: Missile 時(shí)間: 2025-3-26 06:20 作者: blight 時(shí)間: 2025-3-26 12:18 作者: SNEER 時(shí)間: 2025-3-26 16:02 作者: 金絲雀 時(shí)間: 2025-3-26 18:05
Comparing Approaches to Subjectivity Classification: A Study on Portuguese Tweetsnd WordAffectBR lexicons, and Sequential Machine Optimization and Naive Bayes algorithms for this task. In our study, we used the Computer-BR corpus that contains messages about the technology area. We obtained better results using the Comprehensive Measurement Feature Selection method and the Seque作者: 折磨 時(shí)間: 2025-3-27 00:51
TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers’ Sentiment in Brazilian Portuguesences, opinions, and feelings of users or customers. These electronic . statements expressed on the web are prevalent in business and service industry to enable a customer to share his/her point of view. However, it is impossible for humans to fully understand it in a reasonable amount of time. Opin作者: 分發(fā) 時(shí)間: 2025-3-27 01:27
Evaluating Progression of Alzheimer’s Disease by Regression and Classification Methods in a Narrativ done for Portuguese. Here, we describe the results of creating a unified environment, entitled Coh-Metrix-Dementia, based on a previous tool to analyze discourse, named Coh-Metrix-Port. After adding 25 new metrics for measuring syntactical complexity, idea density, and text cohesion through latent 作者: 向下五度才偏 時(shí)間: 2025-3-27 05:23 作者: NEEDY 時(shí)間: 2025-3-27 11:35 作者: 梯田 時(shí)間: 2025-3-27 13:35
Finding Compositional Rules for Determining the Semantic Orientation of Phrasesed on that principle, this paper presents a method for finding the set of compositional rules that best explain the ., ., and . semantic orientation (SO) of two-word phrases, in terms of the SO of its words. For instance, the phrase “.” has a negative SO. A corpus was built for evaluating the propos作者: conifer 時(shí)間: 2025-3-27 20:10 作者: Introduction 時(shí)間: 2025-3-27 22:03
Semantic Relation Extraction. Resources, Tools and Strategiesan be arranged in machine-readable formats, useful for several applications that need structured semantic knowledge. The work presented in this paper explores different strategies to automate the extraction of semantic relations from texts in Portuguese, Galician and Spanish. Both machine learning (作者: 被告 時(shí)間: 2025-3-28 03:03
Extracting and Structuring Open Relations from Portuguese Textguage processing techniques employed. This paper presents the extraction and structuring of open relations between named entities from Portuguese texts. We apply the Conditional Random Fields model for the extraction of relation descriptors between named entities belonging to Person, Place and Organ作者: 變化無(wú)常 時(shí)間: 2025-3-28 06:41 作者: majestic 時(shí)間: 2025-3-28 12:11 作者: 博愛(ài)家 時(shí)間: 2025-3-28 15:24 作者: Firefly 時(shí)間: 2025-3-28 21:54
Evaluating Progression of Alzheimer’s Disease by Regression and Classification Methods in a Narrativs in Coh-Metrix-Dementia must be reduced in size. Three feature selection methods are compared. In our experiments with classification, it was possible to separate CTL, AD, and MCI with 0.817 . score, and separate CTL and MCI with 0.900 . score. As for regression, the best results for MAE were 0.238作者: 不確定 時(shí)間: 2025-3-29 00:47 作者: Ovulation 時(shí)間: 2025-3-29 06:24
0302-9743 were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections named: language applications, language processing, and language resources..978-3-319-41551-2978-3-319-41552-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 急急忙忙 時(shí)間: 2025-3-29 09:39
Strategic Sourcing: Introduction,ere used to query and benchmark our system. Currently, the system manages to answer up?to 42?% of those questions. This document describes the modules that compose the system and how they are combined, providing a brief analysis on them, and also current results, as well as some expectations regarding future work.作者: Etching 時(shí)間: 2025-3-29 13:17 作者: 清真寺 時(shí)間: 2025-3-29 17:20
Advanced Studies in Supply Managemented method and several experiences are reported. We also use the conditional probability as a reliability measure of the compositional rules. The reliability of the learned rules ranges from 60.44?% for verb-noun phrases to 100?% for adjective-adjective phrases.作者: 可耕種 時(shí)間: 2025-3-29 23:15
Ramona Niederschweiberer,Florian C. Kleemannsampled configurations. RNTN achieved the best result on the over-sampled corpus. The Naive Bayes baseline was not surpassed in the under-sampled corpus with Pos/Neg classes, which was the smallest corpus configuration.作者: Eulogy 時(shí)間: 2025-3-30 00:03 作者: Insufficient 時(shí)間: 2025-3-30 06:31
https://doi.org/10.1007/978-981-10-1723-0customized reading to avoid the lack of interest by students who are more advanced in reading and the blocking of those that still need to make further progress. We obtained 52?% of accuracy in classifying texts into 5 levels and 74?% in 3 levels. The results prove to be promising when compared to the state-of-art work.作者: MUT 時(shí)間: 2025-3-30 09:15
Jakob Keller,Christian Hein,Rainer Laschor nouns annotation and applying MT to translate selected sentences in English to Portuguese. The experiments were performed using a . of 20 clusters, and show that lexical-conceptual knowledge improves the linguistic quality and informativeness of extracts.作者: fatuity 時(shí)間: 2025-3-30 14:04 作者: 改革運(yùn)動(dòng) 時(shí)間: 2025-3-30 19:25 作者: NOCT 時(shí)間: 2025-3-31 00:35 作者: Trigger-Point 時(shí)間: 2025-3-31 03:14
