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1
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
BASE
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2
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
Zhang, Qiyuan; Wang, Lei; Yu, Sicheng. - : arXiv, 2021
BASE
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3
Investigating Math Word Problems using Pretrained Multilingual Language Models ...
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4
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.255 Abstract: Conversational KBQA is about answering a sequence of questions related to a KB. Follow-up questions in conversational KBQA often have missing information referring to entities from the conversation history. In this paper, we propose to model these implied entities, which we refer to as the focal entities of the conversation. We propose a novel graph-based model to capture the transitions of focal entities and apply a graph neural network to derive a probability distribution of focal entities for each question, which is then combined with a standard KBQA module to perform answer ranking. Our experiments on two datasets demonstrate the effectiveness of our proposed method. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/yv1r-8040
https://underline.io/lecture/25590-modeling-transitions-of-focal-entities-for-conversational-knowledge-base-question-answering
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5
Translate and label! An encoder-decoder approach for cross-lingual semantic role labeling
Daza, Angel [Verfasser]; Frank, Anette [Verfasser]; Inui, Kentaro [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2019
DNB Subject Category Language
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6
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning ...
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7
Cross-lingual semantic specialization via lexical relation induction
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2019
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8
Do we really need fully unsupervised cross-lingual embeddings?
Vulić, Ivan; Glavaš, Goran; Reichart, Roi. - : Association for Computational Linguistics, 2019
BASE
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9
Neural control of rising and falling tones in Mandarin speakers who stutter
In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 123 (2012) 3, 211-221
BLLDB
OLC Linguistik
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10
Neural Synchronization during Face-to-Face Communication
Jiang, Jing; Dai, Bohan; Peng, Danling. - : Society for Neuroscience, 2012
BASE
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11
Generating templates of entity summaries with an entity-aspect model and pattern mining
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 640-649
BLLDB
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12
UDEL/SMU at TREC 2009 Entity Track
In: DTIC (2009)
BASE
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13
An empirical study of tokenization strategies for biomedical information retrieval
In: Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V. 10 (2007) 4-5, 341-363
BLLDB
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14
Diagnostic precision of tumor markers for malignant pleural effusion: a meta-analysis
Liang, Qiu-Li; Shi, Huan-Zhong; Qin, Xue-Jun. - : BMJ Publishing Group Ltd, 2007
BASE
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15
Racial mimesis: Translation, literature, and self -fashioning in modern China.
Jiang, Jing. - 2006
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16
An Empirical Study of Tokenization Strategies for Biomedical Information Retrieval
BASE
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