小画像
发表于 2025-3-26 21:15:12
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rheumatology
发表于 2025-3-27 02:27:14
Bi-directional Capsule Network Model for Chinese Biomedical Community Question Answeringularly in the biomedical field. On biomedical CQA platforms, patients share information about diseases, drugs and symptoms by communicating with each other. Therefore, the biomedical CQA platforms become particularly valuable resources for information and knowledge acquisition of patients. To accura
AWL
发表于 2025-3-27 05:33:47
Neural Response Generation with Relevant Emotions for Short Text Conversationy relevant to the post, but should also carry an appropriate emotion. In this paper, we conduct analysis based on social media data to investigate how emotions influence conversation generation. Based on observation, we propose methods to determine the appropriate emotions to be included in a respon
爱哭
发表于 2025-3-27 12:39:24
Using Bidirectional Transformer-CRF for Spoken Language Understandingnd slot filling (SF). Currently, most effective models carry out these two tasks jointly and often result in better performance than separate models. However, these models usually fail to model the interaction between intent and slots and ties these two tasks only by a joint loss function. In this p
insurgent
发表于 2025-3-27 16:06:51
Evaluating and Enhancing the Robustness of Retrieval-Based Dialogue Systems with Adversarial Examplebustness towards malicious attacks remains largely untested. In this paper, we generate adversarial examples in black-box settings to evaluate the robustness of retrieval-based dialogue systems. On three representative retrieval-based dialogue models, our attacks reduce R. by 38.3., 45.0. and 31.5.
同时发生
发表于 2025-3-27 19:28:04
Many vs. Many Query Matching with Hierarchical BERT and Transformer consist of multiple sentences, namely query matching with informal text. On the basis, we first construct two datasets towards different domains. Then, we propose a novel query matching approach for informal text, namely Many vs. Many Matching with hierarchical BERT and transformer. First, we emplo
atopic
发表于 2025-3-27 22:15:57
A Knowledge Selective Adversarial Network for Link Prediction in Knowledge GraphKGs, KG completion task, which is also called link prediction, is a newly emerging hot research topic. During KG embedding model training, negative sampling is a fundamental method for obtaining negative samples. Inspired by an adversarial learning framework KBGAN, this paper proposes a new knowledg
evasive
发表于 2025-3-28 02:10:57
Feature-Level Attention Based Sentence Encoding for Neural Relation Extractionall the features as neural network model input, ignoring the different contribution of the features to the semantic representation of entities relations. In this paper, we propose a feature-level attention model to encode sentences, which tries to reveal the different effects of features for relatio
进取心
发表于 2025-3-28 08:49:19
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迁移
发表于 2025-3-28 14:12:37
Evidence Distilling for Fact Extraction and Verificationm is supposed to extract information from given Wikipedia documents and verify the given claim. In this paper, we present a four-stage model for this task including document retrieval, sentence selection, evidence sufficiency judgement and claim verification. Different from most existing models, we