標(biāo)題: Titlebook: Computational Linguistics and Intelligent Text Processing; 16th International C Alexander Gelbukh Conference proceedings 2015 Springer Inte [打印本頁] 作者: 可怖 時(shí)間: 2025-3-21 16:14
書目名稱Computational Linguistics and Intelligent Text Processing影響因子(影響力)
書目名稱Computational Linguistics and Intelligent Text Processing影響因子(影響力)學(xué)科排名
書目名稱Computational Linguistics and Intelligent Text Processing網(wǎng)絡(luò)公開度
書目名稱Computational Linguistics and Intelligent Text Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Linguistics and Intelligent Text Processing被引頻次
書目名稱Computational Linguistics and Intelligent Text Processing被引頻次學(xué)科排名
書目名稱Computational Linguistics and Intelligent Text Processing年度引用
書目名稱Computational Linguistics and Intelligent Text Processing年度引用學(xué)科排名
書目名稱Computational Linguistics and Intelligent Text Processing讀者反饋
書目名稱Computational Linguistics and Intelligent Text Processing讀者反饋學(xué)科排名
作者: 哺乳動物 時(shí)間: 2025-3-21 21:41 作者: 惡意 時(shí)間: 2025-3-22 00:58 作者: 發(fā)出眩目光芒 時(shí)間: 2025-3-22 06:40
978-3-319-18110-3Springer International Publishing Switzerland 2015作者: 左右連貫 時(shí)間: 2025-3-22 12:40 作者: 休息 時(shí)間: 2025-3-22 16:57 作者: 休息 時(shí)間: 2025-3-22 18:20 作者: 會議 時(shí)間: 2025-3-22 23:08 作者: Gullible 時(shí)間: 2025-3-23 03:09
Catherine Burnheim,Andrew Harveye are treated in syntactically annotated corpora and to attempt at a categorization of deletions within a multilevel annotation scheme. We explain first (Sect. 1) the motivations of our research into this matter and in Sect. 2 we briefly overview how deletions are treated in some of the advanced ann作者: 碳水化合物 時(shí)間: 2025-3-23 07:56
Framing the Framework: The Origins of , such as taggers or parsers, can be trained. In recent years, there have been increasing efforts to apply NLP methods to a much broader swathe of the worlds languages. In many cases this involves bootstrapping the learning process with enriched or partially enriched resources. One promising line of 作者: photopsia 時(shí)間: 2025-3-23 13:44
Student Evaluation in Higher Educationnal corpus, being limited by the texts it contains and their proportions, presents lexical contexts (and thus meanings) which are different from those found ‘in the wild’ or in a language in use..To do such a comparison, we used both corpora as training sets to learn vector word representations and 作者: 逢迎白雪 時(shí)間: 2025-3-23 14:32
Student Evaluation in Higher Educationts the list of relevant sentences in French (noted by list.) that respond to a given Arabic query. In a first step we generate the semantic network covering the content of the list.. The generation of the network is based on our approach of semantic and conceptual indexing. In a second step, we appl作者: Self-Help-Group 時(shí)間: 2025-3-23 19:47 作者: Libido 時(shí)間: 2025-3-23 22:29
Student Feedback on Teaching in Schools possible. We will review the current state of the art for three existing resources and then propose a method to link them in addition to augment them in a manner that would render them even more useful for natural language processing whether targeting enabling technologies such as part of speech ta作者: 蠟燭 時(shí)間: 2025-3-24 06:01 作者: LEERY 時(shí)間: 2025-3-24 08:58
Jan-Erik Schmidt,Caterina Gawrilowifferent strategies with the purpose of encouraging 1) the visualization process of the language and 2) the sensibilization of the use of the language, by means of computational tools. With the intention of making a contribution to both of these areas, the building of an information retrieval system作者: inquisitive 時(shí)間: 2025-3-24 14:44 作者: explicit 時(shí)間: 2025-3-24 18:55
Student Feedback on Teaching in Schoolsnguage data (with focus on morphology). Second, it presents a system for unsupervised morphological segmentation comprising two complementary methods that can handle a broad range of morphological processes. The first method collects words which share distributional and form similarity and applies M作者: 誘導(dǎo) 時(shí)間: 2025-3-24 19:31
So-hyun Joo Ph.D.,Swarn Chatterjee Ph.D. including not fully productive derivation. The method is data-driven and does not require manually generated rules. We leverage so called “transition chains” that help pruning false segmentations, while keeping correct ones. At the disambiguation step we use a standard HMM-based approach. Evaluatin作者: conquer 時(shí)間: 2025-3-25 02:02
Evaluating Financial Education Programs,ology. This paper presents a statistical approach to build a sandhi splitter for agglutinative languages. The input to the model is a valid string in the language and the output is a split of that string into meaningful word/s. The approach adopted comprises of two stages namely Segmentation and Wor作者: 侵略者 時(shí)間: 2025-3-25 06:55 作者: diskitis 時(shí)間: 2025-3-25 09:25 作者: 終端 時(shí)間: 2025-3-25 14:34
https://doi.org/10.1057/978-1-137-53901-4PCFGs) based on the Bayesian finite mixture model, where we assume that there are several PCFGs and each of these PCFGs share the same CFG but with different rule probabilities. Sentences of the same article in the corpus are generated from a common multinomial distribution over these PCFGs. We deri作者: 弓箭 時(shí)間: 2025-3-25 16:02 作者: STING 時(shí)間: 2025-3-26 00:03
Deletions and Node Reconstructions in a Dependency-Based Multilevel Annotation Schemelected types of reconstructions of the deleted items on the underlying (tectogrammatical) level of PDT (Sect. 3.3). In Section 3.4 we present some statistical data that offer a stimulating and encouraging ground for further investigations, both for linguistic theory and annotation practice. The resu作者: 貧窮地活 時(shí)間: 2025-3-26 03:36
Tharawat: A Vision for a Comprehensive Resource for Arabic Computational Processing Expression (MWE) version of Tharwa but instead of listing lemmas and their correspondents, it lists MWE and their correspondents. Moreover, we present a roadmap for incorporating links for Tharawat to existing English resources and corpora leveraging advanced machine learning techniques and crowd s作者: 泥瓦匠 時(shí)間: 2025-3-26 05:35
Building a Nasa Yuwe Language Test Collection first test collection in Nasa Yuwe, as well as showing its construction process and results. The results allow appreciation of:1) the process of building the Nasa Yuwe test collection, 2) the queries, expert opinions and documents; and 3) a statistical analysis of the data, including an analysis of作者: 全國性 時(shí)間: 2025-3-26 09:19
Catherine Burnheim,Andrew Harveylected types of reconstructions of the deleted items on the underlying (tectogrammatical) level of PDT (Sect. 3.3). In Section 3.4 we present some statistical data that offer a stimulating and encouraging ground for further investigations, both for linguistic theory and annotation practice. The resu作者: FOLLY 時(shí)間: 2025-3-26 15:54 作者: 擺動 時(shí)間: 2025-3-26 20:12
Jan-Erik Schmidt,Caterina Gawrilow first test collection in Nasa Yuwe, as well as showing its construction process and results. The results allow appreciation of:1) the process of building the Nasa Yuwe test collection, 2) the queries, expert opinions and documents; and 3) a statistical analysis of the data, including an analysis of作者: Spongy-Bone 時(shí)間: 2025-3-26 23:28 作者: EVADE 時(shí)間: 2025-3-27 01:39 作者: 方便 時(shí)間: 2025-3-27 07:41 作者: opportune 時(shí)間: 2025-3-27 11:05 作者: 開玩笑 時(shí)間: 2025-3-27 16:23
Towards a Universal Grammar for Natural Language Processingthe motivation behind the initiative and explain how the basic design principles follow from these requirements. I then discuss the different components of the annotation standard, including principles for word segmentation, morphological annotation, and syntactic annotation. I conclude with some thoughts on the challenges that lie ahead.作者: Ceramic 時(shí)間: 2025-3-27 19:58 作者: 羊齒 時(shí)間: 2025-3-28 01:58 作者: 使服水土 時(shí)間: 2025-3-28 04:36 作者: 聚集 時(shí)間: 2025-3-28 09:19
Kevin Crouse,Drew H. Gitomer,Jeanette Joyceopriate tag, case and sign has been implemented. The proposed system has been tested and the experiments show that it achieves a 89.74% token accuracy and a 63.56% overall sentence accuracy and it has the potential to be further improved.作者: A保存的 時(shí)間: 2025-3-28 14:14
To Split or Not, and If so, Where? Theoretical and Empirical Aspects of Unsupervised Morphological Sts of the first method. The challenges presented in the theoretical part are demonstrated exemplarily on the workings and output of the introduced unsupervised system and accompanied by suggestions how to address them in future works.作者: 不給啤 時(shí)間: 2025-3-28 14:40 作者: hypertension 時(shí)間: 2025-3-28 21:59 作者: 有說服力 時(shí)間: 2025-3-29 01:36 作者: 貿(mào)易 時(shí)間: 2025-3-29 04:53
Framing the Framework: The Origins of , machines since it remains “trapped” in linguistic scholarly documents and in human readable form. In this paper, we introduce several tools that make IGT more accessible and consumable by NLP researchers.作者: TOXIN 時(shí)間: 2025-3-29 09:46 作者: LUT 時(shí)間: 2025-3-29 12:07
Jan-Erik Schmidt,Caterina Gawrilow a rule-based morphology can be extended. This is achieved by predicting the correct paradigm for words not present in the lexicon. The supervised machine learning algorithm described in this paper is based on longest matching suffixes and lexical frequency data, and is demonstrated and evaluated for Russian.作者: 向外才掩飾 時(shí)間: 2025-3-29 16:34
Enriching, Editing, and Representing Interlinear Glossed Text machines since it remains “trapped” in linguistic scholarly documents and in human readable form. In this paper, we introduce several tools that make IGT more accessible and consumable by NLP researchers.作者: micronutrients 時(shí)間: 2025-3-29 20:53
Comparing Neural Lexical Models of a Classic National Corpus and a Web Corpus: The Case for Russian the language of web pages from the Russian language in the National corpus. About 15% of words were found to acquire completely new neighbors in the web corpus..In this paper, the methodology of research is described and implications for Russian National Corpus are proposed. All experimental data are available online.作者: Ibd810 時(shí)間: 2025-3-30 01:41 作者: Palpate 時(shí)間: 2025-3-30 05:45 作者: Exaggerate 時(shí)間: 2025-3-30 09:16 作者: Cubicle 時(shí)間: 2025-3-30 16:07
High Quality Arabic Lexical Ontology Based on MUHIT, WordNet, SUMO and DBpediaty coverage using DBpedia, English-to-Arabic Transliteration, and Named Entity Recognition. We end up with an Arabic lexical ontology that has 228K Arabic synsets, linked to 7.8K concepts and 143K instances. This ontology achieves a precision of 96.9% and recall of 75.5% for NLU scenarios.作者: 過時(shí) 時(shí)間: 2025-3-30 20:03
Data-Driven Morphological Analysis and Disambiguation for Kazakhg our method against open source solutions on several data sets, we show that it achieves better or on par performance. We also provide an extensive error analysis that sheds light on common problems of the morphological disambiguation of the language.作者: 遠(yuǎn)地點(diǎn) 時(shí)間: 2025-3-30 23:00 作者: invert 時(shí)間: 2025-3-31 02:24
