標(biāo)題: Titlebook: Evaluation of Natural Language and Speech Tool for Italian; International Worksh Bernardo Magnini,Francesco Cutugno,Emanuele Pianta Confere [打印本頁] 作者: 拿著錫 時(shí)間: 2025-3-21 16:42
書目名稱Evaluation of Natural Language and Speech Tool for Italian影響因子(影響力)
書目名稱Evaluation of Natural Language and Speech Tool for Italian影響因子(影響力)學(xué)科排名
書目名稱Evaluation of Natural Language and Speech Tool for Italian網(wǎng)絡(luò)公開度
書目名稱Evaluation of Natural Language and Speech Tool for Italian網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evaluation of Natural Language and Speech Tool for Italian被引頻次
書目名稱Evaluation of Natural Language and Speech Tool for Italian被引頻次學(xué)科排名
書目名稱Evaluation of Natural Language and Speech Tool for Italian年度引用
書目名稱Evaluation of Natural Language and Speech Tool for Italian年度引用學(xué)科排名
書目名稱Evaluation of Natural Language and Speech Tool for Italian讀者反饋
書目名稱Evaluation of Natural Language and Speech Tool for Italian讀者反饋學(xué)科排名
作者: HEDGE 時(shí)間: 2025-3-21 20:13 作者: GAVEL 時(shí)間: 2025-3-22 02:54 作者: 滲入 時(shí)間: 2025-3-22 07:33
A Combination of Classifiers for Named Entity Recognition on Transcriptiond reports its performance which is evaluated by taking part in Evalita 2011 in the task of Named Entity Recognition on Transcribed Broadcast News. In addition, the Evalita 2009 dataset, consisting of newspapers articles, is used to present a comparative analysis by extracting named entities from new作者: 變態(tài) 時(shí)間: 2025-3-22 08:59 作者: 平靜生活 時(shí)間: 2025-3-22 13:17 作者: 平靜生活 時(shí)間: 2025-3-22 18:28
Jürgen Schmitt,J?rg Dombrowski,Faruk Muratn held in 2011. It presents and compares the resources exploited for development and testing, the participant systems and the results, showing also the improvement of resources and scores during the three editions of this contest.作者: Emasculate 時(shí)間: 2025-3-22 22:39 作者: VEN 時(shí)間: 2025-3-23 01:23
https://doi.org/10.1007/978-3-8349-3942-5ion test data. On the manual transcriptions of the same test data (although having no sentence boundary and punctuation symbol), the system achieves an F1-score of . which is quite high considering the fact that the system is language independent and uses no external dictionaries, gazetteers or ontologies.作者: Biofeedback 時(shí)間: 2025-3-23 08:52
https://doi.org/10.1007/978-3-658-29688-9n is often noisy, this represents a challenge for state of the art NER tools. We report on the results of our experiments using the Tanl Tagger as well as another widely available tagger in both the closed and open modalities.作者: 腐爛 時(shí)間: 2025-3-23 10:17 作者: conscience 時(shí)間: 2025-3-23 17:09 作者: 一個(gè)姐姐 時(shí)間: 2025-3-23 18:58 作者: ACME 時(shí)間: 2025-3-24 00:37
A Simple Yet Effective Approach for Named Entity Recognition from Transcribed Broadcast Newsion test data. On the manual transcriptions of the same test data (although having no sentence boundary and punctuation symbol), the system achieves an F1-score of . which is quite high considering the fact that the system is language independent and uses no external dictionaries, gazetteers or ontologies.作者: 符合國情 時(shí)間: 2025-3-24 04:02 作者: SEMI 時(shí)間: 2025-3-24 08:59 作者: RAFF 時(shí)間: 2025-3-24 12:28
Conference proceedings 2013uage. The objective of the shared tasks proposed at EVALITA is to promote the development of language technologies for Italian, providing a common framework where different systems and approaches can be evaluated and compared in a consistent manner. This volume collects the final and extended contri作者: Parley 時(shí)間: 2025-3-24 18:56
https://doi.org/10.1007/978-3-658-30472-0bmission achieved best accuracy among pure statistical parsers. An analysis of the errors shows that the accuracy is quite high on half of the test set and lower on the second half, which belongs to a different domain. We propose a variant of the parsing algorithm to address these shortcomings.作者: 含糊其辭 時(shí)間: 2025-3-24 20:52
Tuning DeSR for Dependency Parsing of Italianbmission achieved best accuracy among pure statistical parsers. An analysis of the errors shows that the accuracy is quite high on half of the test set and lower on the second half, which belongs to a different domain. We propose a variant of the parsing algorithm to address these shortcomings.作者: gout109 時(shí)間: 2025-3-25 02:03
0302-9743 of both Natural Language Processing and Speech Technologies for the Italian language. The objective of the shared tasks proposed at EVALITA is to promote the development of language technologies for Italian, providing a common framework where different systems and approaches can be evaluated and com作者: 苦惱 時(shí)間: 2025-3-25 03:58 作者: Subdue 時(shí)間: 2025-3-25 07:47
Grundlagen und Stand der Technik,n MaltParser with an ensemble model made available by Mihai Surdeanu. The best results were achieved by the ensemble model which was selected for the official submission. In the final evaluation, our system finished third in the dependency parsing task.作者: Cougar 時(shí)間: 2025-3-25 15:02 作者: NEXUS 時(shí)間: 2025-3-25 18:36 作者: 賭博 時(shí)間: 2025-3-25 23:18
,Methode Design und Durchführung,oken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants’ results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.作者: Esophagitis 時(shí)間: 2025-3-26 00:37 作者: 夾死提手勢 時(shí)間: 2025-3-26 08:20 作者: reaching 時(shí)間: 2025-3-26 10:39 作者: 牢騷 時(shí)間: 2025-3-26 15:43 作者: 健談 時(shí)間: 2025-3-26 20:42
Experiments in Newswire-to-Law Adaptation of Graph-Based Dependency Parsers was unlikely to be efficient, but some of the semi-supervised approaches led to significant improvements on development data. Unfortunately, this improvement did not carry over to the released test data.作者: 擦掉 時(shí)間: 2025-3-27 00:21
Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011oken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants’ results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.作者: 易受騙 時(shí)間: 2025-3-27 04:01 作者: convulsion 時(shí)間: 2025-3-27 07:58 作者: 開花期女 時(shí)間: 2025-3-27 11:31
Bewertung der Untersuchungsergebnisse, from the target domain. The process was repeated a few times for building a new training resource partially adapted to the target domain. Using the new resource we trained three stacked parsers, and their combination was used to produce the final results.作者: freight 時(shí)間: 2025-3-27 13:45
https://doi.org/10.1007/978-3-322-81698-6respond to sub-trees. A binary classifier, based on Maximum Entropy, is used to decide whether there is a coreference relationship between each pair of mentions detected in the previous phase. Clustering of entities is performed by a greedy clustering algorithm.作者: Concrete 時(shí)間: 2025-3-27 18:48
https://doi.org/10.1007/978-3-658-03547-1 semantic categories, and it is an easier and more practical task with respect to WSD, that deals with very specific senses. We will report on the organization and results of the Evalita 2011 SuperSense Tagging task.作者: 壓倒性勝利 時(shí)間: 2025-3-27 23:26 作者: ear-canal 時(shí)間: 2025-3-28 05:46 作者: NIL 時(shí)間: 2025-3-28 08:01 作者: 書法 時(shí)間: 2025-3-28 13:32 作者: colony 時(shí)間: 2025-3-28 17:57 作者: IDEAS 時(shí)間: 2025-3-28 20:36
Use of Semantic Information in a Syntactic Dependency Parsere it was already used in Evalita 2009: describing it would be a duplication of the description already given there. On the contrary, the paper addresses two extensions that have been adopted in a more recent version of the parser. The reason why this version was not used in Evalita is that it is bas作者: 柔美流暢 時(shí)間: 2025-3-28 23:16 作者: ineffectual 時(shí)間: 2025-3-29 04:11 作者: 悲觀 時(shí)間: 2025-3-29 09:58 作者: FOLD 時(shí)間: 2025-3-29 13:55
Looking Back to the EVALITA Constituency Parsing Task: 2007-2011els and approaches, comparing paradigms and annotation formats. Therefore, in all the editions, held respectively in 2007, 2009 and 2011, the Task has been organized around two tracks, namely Dependency Parsing and Constituency Parsing, exploiting the same data sets made available by the organizers 作者: sphincter 時(shí)間: 2025-3-29 16:55 作者: MAL 時(shí)間: 2025-3-29 20:47 作者: Myosin 時(shí)間: 2025-3-30 02:45 作者: Merited 時(shí)間: 2025-3-30 06:18 作者: 諄諄教誨 時(shí)間: 2025-3-30 10:12
A Simple Yet Effective Approach for Named Entity Recognition from Transcribed Broadcast Newspproach for NER on speech transcriptions which achieves good results despite the peculiarities. The novelty of our approach is that it emphasizes on the maximum exploitation of the tokens, as they are, in the data. We developed a system for participating in the “NER on Transcribed Broadcast News” (c作者: 失誤 時(shí)間: 2025-3-30 15:24
A Combination of Classifiers for Named Entity Recognition on Transcriptionat the output of one of the classifiers is exploited by the other to refine its decision. The approach we followed is similar to that used in Typhoon, which is a NER system designed for newspaper articles; in that respect, one of the distinguishing features of our approach is the use of Conditional 作者: nocturia 時(shí)間: 2025-3-30 18:16
The Tanl Tagger for Named Entity Recognition on Transcribed Broadcast News at Evalita 2011eatures according to feature templates expressed through patterns provided in a configuration file. The Tanl Tagger was applied to the task of Named Entity Recognition (NER) on Transcribed Broadcast News of Evalita 2011. The goal of the task was to identify named entities within texts produced by an作者: BAIL 時(shí)間: 2025-3-30 21:40 作者: gregarious 時(shí)間: 2025-3-31 03:42
Evalita 2011: Anaphora Resolution Taskbe seen as a successor of the Evalita-2009 Local Entity Detection and Recognition (LEDR) track, expanding on the scope of addressed phenomena. The annotation guidelines have been designed to cover a large variety of linguistic issues related to anaphora/coreference..We describe the annotation scheme作者: 上釉彩 時(shí)間: 2025-3-31 06:43
UNIPI Participation in the Evalita 2011 Anaphora Resolution Task entity within a given document. The UNIPI system is based on the analysis of dependency parse trees and on similarity clustering. Mention detection relies on parse trees obtained by re-parsing texts with DeSR, and on ad-hoc heuristics to deal with specific cases, when mentions boundaries do not cor作者: INTER 時(shí)間: 2025-3-31 11:54 作者: 拉開這車床 時(shí)間: 2025-3-31 15:18
Super-Sense Tagging Using Support Vector Machines and Distributional Featuresper-sense that defines a general concept such as ., . or .. Due to the smaller set of concepts involved the task is simpler than Word Sense Disambiguation one which identifies a specific meaning for each word. In this task, we exploit a supervised learning method based on Support Vector Machines. Ho作者: 繁榮中國 時(shí)間: 2025-3-31 21:06 作者: 西瓜 時(shí)間: 2025-4-1 01:24 作者: 首創(chuàng)精神 時(shí)間: 2025-4-1 05:12
978-3-642-35827-2Springer-Verlag Berlin Heidelberg 2013作者: Indicative 時(shí)間: 2025-4-1 07:05
Evaluation of Natural Language and Speech Tool for Italian978-3-642-35828-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: acolyte 時(shí)間: 2025-4-1 10:19
Jürgen Schmitt,J?rg Dombrowski,Faruk Muratels and approaches, comparing paradigms and annotation formats. Therefore, in all the editions, held respectively in 2007, 2009 and 2011, the Task has been organized around two tracks, namely Dependency Parsing and Constituency Parsing, exploiting the same data sets made available by the organizers 作者: 征服 時(shí)間: 2025-4-1 15:56
https://doi.org/10.1007/978-3-658-42079-6e it was already used in Evalita 2009: describing it would be a duplication of the description already given there. On the contrary, the paper addresses two extensions that have been adopted in a more recent version of the parser. The reason why this version was not used in Evalita is that it is bas
