標題: Titlebook [打印本頁] 作者: metabolism 時間: 2025-3-21 19:20 作者: 易于 時間: 2025-3-22 00:19 作者: 整體 時間: 2025-3-22 03:46 作者: modest 時間: 2025-3-22 04:50
Business Document Information Extraction: Towards Practical Benchmarksical aspects missing in the common definitions and define the . (KILE) and . (LIR) problems. There is a lack of relevant datasets and benchmarks for Document IE on semi-structured business documents as their content is typically legally protected or sensitive. We discuss potential sources of available documents including synthetic data.作者: 強壯 時間: 2025-3-22 11:53 作者: 防止 時間: 2025-3-22 14:54
Langenbecks Archiv für Chirurgiemerging trends observed from the analysis of data gathered before and after the extensive online experience and how these will guide the design of functionality of a search companion for the classroom.作者: 防止 時間: 2025-3-22 19:44
The Effect of?Prolonged Exposure to?Online Education on?a?Classroom Search Companionmerging trends observed from the analysis of data gathered before and after the extensive online experience and how these will guide the design of functionality of a search companion for the classroom.作者: 尖牙 時間: 2025-3-23 00:29 作者: enhance 時間: 2025-3-23 02:56
Current State of Affairs: Economic Impact,ing off-topic). To analyze whether these changes may have contributed to the observed effectiveness drop, we conduct experiments with different document version selection strategies. Our results show that training a retrieval model on the “wrong” version can reduce the nDCG@10 by up to?75%.作者: fiction 時間: 2025-3-23 08:03
https://doi.org/10.1007/978-3-663-20493-0p, we examined two models: DistilBERT and an ensemble learning approach using stacking of SVM and DistilBERT. We compare the results of both models using two argumentation corpora on the level of argument identification task, and further using the dataset of CLEF 2021 Touché Lab shared task 2 on the level of answering comparative questions.作者: 決定性 時間: 2025-3-23 10:28
“Meanspo Please, I Want to?Lose Weight”: A Characterization Study of?Meanspiration Content on?Tumblrn of the posts is evaluated based on sentiments, emotions and readability. These characteristics are used in a classification task to distinguish Meanspiration from regular content on Tumblr with 81% accuracy.作者: Grating 時間: 2025-3-23 17:32
Noise-Reduction for?Automatically Transferred Relevance Judgmentsing off-topic). To analyze whether these changes may have contributed to the observed effectiveness drop, we conduct experiments with different document version selection strategies. Our results show that training a retrieval model on the “wrong” version can reduce the nDCG@10 by up to?75%.作者: 一致性 時間: 2025-3-23 18:59 作者: 內(nèi)部 時間: 2025-3-24 00:06 作者: gout109 時間: 2025-3-24 02:40 作者: 皺痕 時間: 2025-3-24 10:15
https://doi.org/10.1007/978-3-642-68991-8isorders develop around specific hashtags in communities in social networking sites such as Tumblr. One of these trends is #meanspiration, a tag that is used to request and give mean messages from/to social media users to inspire them to lose weight. In this study, images and texts of Meanspiration 作者: 事先無準備 時間: 2025-3-24 13:58 作者: Electrolysis 時間: 2025-3-24 18:50
Bodenordnung und landeskulturelle Aufgaben,of the currently available training datasets for this task (CADEC, PsyTAR, COMETA) only covers a small fraction of the concepts contained in the Systematized Nomenclature of Medical-Clinical Terms (SNOMED-CT). In this work, we propose a distant supervision approach to broaden the training data cover作者: chemoprevention 時間: 2025-3-24 20:27
Current State of Affairs: Economic Impact, previously judged documents were re-crawled. Interestingly, in the track’s 2021?edition, models trained on the new data were less effective than models trained on the old data. To investigate this phenomenon, we compare the predicted relevance probabilities of monoT5 for the two versions of the jud作者: 注意 時間: 2025-3-25 03:11 作者: jarring 時間: 2025-3-25 03:29 作者: synovitis 時間: 2025-3-25 09:40
Albert Günter Herrmann,Helmut R?themeyer6. Accordingly, more attention has been paid to this issue by scientists to develop automated tools to combat those pieces of information that contain misinformation, using natural language processing methods. Although the performance of fake news detection models has increased by using more complex作者: 彎彎曲曲 時間: 2025-3-25 14:03 作者: Optimum 時間: 2025-3-25 17:43 作者: Blatant 時間: 2025-3-25 23:28 作者: 沖突 時間: 2025-3-26 02:52
Christian Riegler,Katrin Weiskirchner-Merten must be made carefully. Additionally, because of the growing amounts of data in almost all areas, research data is already a central artifact in empirical sciences. Consequentially, research dataset recommendations can beneficially supplement scientific publication searches. We formulated the recom作者: coalition 時間: 2025-3-26 04:51 作者: 在駕駛 時間: 2025-3-26 09:48 作者: 不如屎殼郎 時間: 2025-3-26 14:59 作者: 西瓜 時間: 2025-3-26 16:51
Ethics of Science and Technology Assessments to automatically compose coherent captions for a set of medical images. The most popular means of doing this is with an encoder-to-decoder model. In this work, we investigate a set of choices with regards to aspects of an encoder-to-decoder model. Such choices include what pre-training data should作者: Rustproof 時間: 2025-3-27 00:55
Langfristplanung in der Energiewirtschaftle biomedical papers is increasing rapidly, BioQA is attracting more attention. In order to improve the performance of BioQA systems, we designed strategies for the sub-tasks of BioQA and assessed their effectiveness using the BioASQ dataset. We designed data-centric and model-centric strategies bas作者: 過去分詞 時間: 2025-3-27 03:53 作者: Small-Intestine 時間: 2025-3-27 09:14 作者: freight 時間: 2025-3-27 10:05 作者: Tidious 時間: 2025-3-27 14:12 作者: strain 時間: 2025-3-27 18:04 作者: 獨行者 時間: 2025-3-27 21:58 作者: 處理 時間: 2025-3-28 03:36
The Impact of?Pre-processing on?the?Performance of?Automated Fake News Detection6. Accordingly, more attention has been paid to this issue by scientists to develop automated tools to combat those pieces of information that contain misinformation, using natural language processing methods. Although the performance of fake news detection models has increased by using more complex作者: COLON 時間: 2025-3-28 09:27
Business Document Information Extraction: Towards Practical Benchmarksblems related to . (IE) have been studied for decades, many common problem definitions and benchmarks do not reflect domain-specific aspects and practical needs for automating B2B document communication. We review the landscape of Document IE problems, datasets and benchmarks. We highlight the pract作者: 全神貫注于 時間: 2025-3-28 13:06
An Analysis of?Logic Rule Dissemination in?Sentiment Classifierssed for that goal rely on a component that aims to capture and model logic rules, followed by a sequence model to process the input sequence. While these methods claim to effectively capture syntactic structures that affect sentiment, they only show improvement in terms of accuracy to support their 作者: OMIT 時間: 2025-3-28 17:37
Using Entities in?Knowledge Graph Hierarchies to?Classify Sensitive Information to the public. However, automatically classifying sensitive information is difficult, since sensitivity is often due to contextual knowledge that must be inferred from the text. For example, the mention of a specific named entity is unlikely to provide enough context to automatically know if the in作者: synovium 時間: 2025-3-28 22:25 作者: 施加 時間: 2025-3-29 02:08 作者: MILL 時間: 2025-3-29 03:07
Query Expansion, Argument Mining and?Document Scoring for?an?Efficient Question Answering Systemcomparative question by retrieving documents based only on traditional measures (such as TF-IDF and BM25) does not always satisfy the need. In this paper, we propose a multi-layer architecture to answer comparative questions based on arguments. Our approach consists of a pipeline of query expansion,作者: BUDGE 時間: 2025-3-29 09:55
Transformer-Encoder-Based Mathematical Information Retrievalrieval systems should not only be able to process natural language, but also mathematical and scientific notation to retrieve documents..In this work, we evaluate two transformer-encoder-based approaches on a Question Answer retrieval task. Our pre-trained ALBERT-model demonstrated competitive perfo作者: FRONT 時間: 2025-3-29 12:51 作者: 注意力集中 時間: 2025-3-29 17:41 作者: accessory 時間: 2025-3-29 22:42
Tracking News Stories in?Short Messages in?the?Era of?Infodemic[.]), its impact on the results and why it is key to this type of work. We used a supervised algorithm proposed by Miranda et al. [.] and K-Means to provide evaluations for different use cases. We found that TF-IDF vectors are not always the best ones to group documents, and that algorithms are sens作者: 寬宏大量 時間: 2025-3-30 00:39 作者: blister 時間: 2025-3-30 05:52
Rhythmic and?Psycholinguistic Features for?Authorship Tasks in?the?Spanish Parliament: Evaluation anobtained by a BETO transformer, when the latter is trained on the original text, i.e., potentially learning from topical information. Moreover, we further investigate the results for the different authors, showing that variations in performance are partially explainable in terms of the authors’ poli作者: irreparable 時間: 2025-3-30 11:58
The Impact of?Pre-processing on?the?Performance of?Automated Fake News Detectionand BERT pre-trained model. In addition to URLs, we analyzed the impact of different approaches for dealing with emojis and Twitter handles on the performance of the models. Our results show URLs could be good clues for identifying fake news, despite the fact that they are usually removed in pre-pro作者: 禮節(jié) 時間: 2025-3-30 14:56
An Analysis of?Logic Rule Dissemination in?Sentiment Classifiers the predictions of any classifier in an interpretable and faithful manner. Our experiments show that (a) accuracy is misleading in assessing these methods, (b) not all these methods are effectively capturing the . structure, (c) often, the underlying sequence model is what captures the syntactic st作者: 威脅你 時間: 2025-3-30 16:54 作者: 尊重 時間: 2025-3-30 22:55
