Suchergebnisse - "Computer Science - Computation and Language"

ClueReader: Heterogeneous Graph Attention Network for Multi-Hop Machine Reading Comprehension von Peng Gao, Feng Gao, Peng Wang, Jian-Cheng Ni, Fei Wang, Hamido Fujita

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A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations von Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Le Minh Nguyen

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Controllable Neural Story Plot Generation via Reward Shaping von Tambwekar, Pradyumna, Dhuliawala, Murtaza, Martin, Lara J, Mehta, Animesh, Harrison, Brent, Riedl, Mark O

“… Human-subject studies show that the generated stories have more plausible event ordering than baseline plot generation techniques …”
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PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning von Feng, Yubo, Li, Lishuang, Xiang, Yi, Qin, Xueyang

“… The representation of events in text plays a significant role in various NLP tasks. Recent research demonstrates that contrastive learning has the ability to …”
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Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task von Lasri, Karim, Lenci, Alessandro, Poibeau, Thierry

“… They have been shown to perform strongly on subject-verb number agreement in a wide array of settings, suggesting that they learned to track syntactic dependencies during their training even without …”
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Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception von Ziegelmayer, Sebastian, Marka, Alexander W, Lenhart, Nicolas, Nehls, Nadja, Reischl, Stefan, Harder, Felix, Sauter, Andreas, Makowski, Marcus, Graf, Markus, Gawlitza, Joshua

“… The remarkable generative capabilities of multimodal foundation models are currently being explored for a variety of applications. Generating radiological …”
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py-irt: A Scalable Item Response Theory Library for Python von Lalor, John P, Rodriguez, Pedro

“… py-irt is a Python library for fitting Bayesian Item Response Theory (IRT) models. py-irt estimates latent traits of subjects and items, making it appropriate for use in IRT tasks as well as ideal-point models …”
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QiBERT -- Classifying Online Conversations Messages with BERT as a Feature von Ferreira-Saraiva, Bruno D, Pirola, Zuil, Matos-Carvalho, João P, Marques-Pita, Manuel

“… Recent developments in online communication and their usage in everyday life have caused an explosion in the amount of a new genre of text data, short text …”
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A Survey of Data Mining Techniques for Social Media Analysis von Adedoyin-Olowe, Mariam, Gaber, Mohamed Medhat, Stahl, Frederic

“… + through the internet and the web 2.0 technologies has become more affordable. People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters …”
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A Survey of Data Mining Techniques for Social Media Analysis von Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl

“… + through the internet and the web 2.0 technologies has become more affordable. People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters …”
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Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders von Ribadas-Pena, Francisco J, Cao, Shuyuan, Víctor M Darriba Bilbao

“… and to regenerate the predicted labels from this latent space. We have evaluated our proposal in a large portion of the MEDLINE biomedical document collection which uses the Medical Subject Headings (MeSH …”
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Enhancing Event-Level Sentiment Analysis with Structured Arguments von Zhang, Qi, Zhou, Jie, Chen, Qin, Bai, Qinchun, He, Liang

“… , subject, object, time and location) that have potential effects on the sentiment are not well studied …”
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Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks von Li, Panfeng, Abouelenien, Mohamed, Mihalcea, Rada, Ding, Zhicheng, Yang, Qikai, Zhou, Yiming

“… We use a dataset built by interviewing 104 subjects about two topics, with one truthful and one falsified response from each subject about each topic …”
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Kratt: Developing an Automatic Subject Indexing Tool for The National Library of Estonia von Asula, Marit, Makke, Jane, Freienthal, Linda, Hele-Andra Kuulmets, Sirel, Raul

“… Manual subject indexing in libraries is a time-consuming and costly process and the quality of the assigned subjects is affected by the cataloguer's knowledge on the specific topics contained in the book …”
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Improving the Validity of Automatically Generated Feedback via Reinforcement Learning von Scarlatos, Alexander, Smith, Digory, Woodhead, Simon, Lan, Andrew

“… However, both feedback generation and evaluation are challenging: feedback content has to be valid especially in subjects like math, which requires models to understand the problem, the solution, and where the student's error lies …”
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The Causal Structure of Semantic Ambiguities von Wang, Daphne, Sadrzadeh, Mehrnoosh

“… Ambiguity is a natural language phenomenon occurring at different levels of syntax, semantics, and pragmatics. It is widely studied; in Psycholinguistics, for …”
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ASAG2024: A Combined Benchmark for Short Answer Grading von Meyer, Gérôme, Breuer, Philip, Fürst, Jonathan

“… However, open-ended questions are tedious to grade and subject to personal bias. Therefore, there have been efforts to speed up the grading process through automation …”
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Temporally Consistent Factuality Probing for Large Language Models von Bajpai, Ashutosh, Goyal, Aaryan, Anwer, Atif, Chakraborty, Tanmoy

“… However, structural simplicity (subject-relation-object) and contemporary association in their query formulation limit the broader definition of factuality and consistency …”
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Predictability and Causality in Spanish and English Natural Language Generation von Busto-Castiñeira, Andrea, González-Castaño, Francisco J, García-Méndez, Silvia, Francisco de Arriba-Pérez

“… In this work we depart from the hypothesis that they may introduce generation bias in target languages with less rigid word ordering, subject omission, or different attachment preferences …”
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Do PLMs Know and Understand Ontological Knowledge? von Wu, Weiqi, Jiang, Chengyue, Jiang, Yong, Xie, Pengjun, Tu, Kewei

“… Ontological knowledge, which comprises classes and properties and their relationships, is integral to world knowledge. It is significant to explore whether …”
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