Joint (building)
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Prefix-Tuning: Optimizing Continuous Prompts for Generation Open
Xiang Lisa Li, Percy Liang. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.
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Making Pre-trained Language Models Better Few-shot Learners Open
Tianyu Gao, Adam Fisch, Danqi Chen. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.
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Joint Deep Modeling of Users and Items Using Reviews for Recommendation Open
A large amount of information exists in reviews written by users. This source of information has been ignored by most of the current recommender systems while it can potentially alleviate the sparsity problem and improve the quality of rec…
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Fasting is not routinely required for determination of a lipid profile: clinical and laboratory implications including flagging at desirable concentration cut-points—a joint consensus statement from the European Atherosclerosis Society and European Federation of Clinical Chemistry and Laboratory Medicine Open
We recommend that non-fasting blood samples be routinely used for the assessment of plasma lipid profiles. Laboratory reports should flag abnormal values on the basis of desirable concentration cut-points. Non-fasting and fasting measureme…
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Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme Open
Joint extraction of entities and relations is an important task in information extraction. To tackle this problem, we firstly propose a novel tagging scheme that can convert the joint extraction task to a tagging problem.. Then, based on o…
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Joint 2D-3D-Semantic Data for Indoor Scene Understanding Open
We present a dataset of large-scale indoor spaces that provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations. The dataset covers over 6,000m2 and contains …
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Knowledge Enhanced Contextual Word Representations Open
Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Nat…
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Joint Event Extraction via Recurrent Neural Networks Open
Event extraction is a particularly challenging problem in information extraction.The stateof-the-art models for this problem have either applied convolutional neural networks in a pipelined framework (Chen et al., 2015) or followed the joi…
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The EBJIS definition of periprosthetic joint infection Open
Aims The diagnosis of periprosthetic joint infection (PJI) can be difficult. All current diagnostic tests have problems with accuracy and interpretation of results. Many new tests have been proposed, but there is no consensus on the place …
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Refracting RIS-Aided Hybrid Satellite-Terrestrial Relay Networks: Joint Beamforming Design and Optimization Open
peer reviewed
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Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT Open
Shijie Wu, Mark Dredze. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation Open
Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets. The most crucial factors for this task lie in two aspects: the intra-frame representation for joint co…
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Associative Embedding: End-to-End Learning for Joint Detection and Grouping Open
We introduce associative embedding, a novel method for supervising convolutional neural networks for the task of detection and grouping. A number of computer vision problems can be framed in this manner including multi-person pose estimati…
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A framework for the classification of joint hypermobility and related conditions Open
In the last decade, growing attention has been placed on joint hypermobility and related disorders. The new nosology for Ehlers–Danlos syndrome (EDS), the best‐known and probably the most common of the disorders featuring joint hypermobili…
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Looking to listen at the cocktail party Open
We present a joint audio-visual model for isolating a single speech signal from a mixture of sounds such as other speakers and background noise. Solving this task using only audio as input is extremely challenging and does not provide an a…
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Standardized Loads Acting in Hip Implants Open
With the increasing success of hip joint replacements, the average age of patients has decreased, patients have become more active and their expectations of the implant durability have risen. Thus, pre-clinical endurance tests on hip impla…
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Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence Open
Language communication plays an important role in human learning and knowledge acquisition.With the emergence of a new generation of cognitive robots, empowering these robots to learn directly from human partners becomes increasingly impor…
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Using Convolutional Neural Network to Design and Predict the Forces and Kinematic Performance and External Rotation Moment of the Hip Joint in the Pelvis Open
In order to improve the dynamic and kinematic adaptability of the hip joint, this paper presented a control attitude and kinematics and torque of the hip joint with power based neural network control. The CNN neural network uses input data…
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Slot-Gated Modeling for Joint Slot Filling and Intent Prediction Open
Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu, Yun-Nung Chen. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologie…
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ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer Open
Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volum…
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PubMedQA: A Dataset for Biomedical Research Question Answering Open
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, Xinghua Lu. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJC…
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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance Open
A robust evaluation metric has a profound impact on the development of text generation systems. A desirable metric compares system output against references based on their semantics rather than surface forms. In this paper we investigate s…
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Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification Open
Correctly identifying sleep stages is important in diagnosing and treating sleep disorders. This paper proposes a joint classification-and-prediction framework based on convolutional neural networks (CNNs) for automatic sleep staging, and,…
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AlignedReID: Surpassing Human-Level Performance in Person Re-Identification Open
In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features. Global feature learning benefits greatly from local feature learning, which performs an alignment/matc…
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Joint Embedding of Words and Labels for Text Classification Open
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.
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Improving Intent Detection Accuracy Through Token Level Labeling Open
Intent detection is traditionally modeled as a sequence classification task where the role of the models is to map the users' utterances to their class. In this paper, however, we show that the classification accuracy can be improved with …
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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Open
Bipartite b-matching, where agents on one side of a market are matched to one or more agents or items on the other, is a classical model that is used in myriad application areas such as healthcare, advertising, education, and general resou…
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Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree Open
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP).…
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Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems Open
Over-dependence on domain ontology and lack of knowledge sharing across domains are two practical and yet less studied problems of dialogue state tracking. Existing approaches generally fall short in tracking unknown slot values during inf…
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Joint Charge Storage for High‐Rate Aqueous Zinc–Manganese Dioxide Batteries Open
Aqueous rechargeable zinc–manganese dioxide batteries show great promise for large‐scale energy storage due to their use of environmentally friendly, abundant, and rechargeable Zn metal anodes and MnO 2 cathodes. In the literature various …