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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
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portfolio
Intel® End-to-End AI Optimization Kit
Intel® End-to-End AI Optimization Kit is a composable toolkits for E2E AI optimization to deliver high performance lightweight networks/models efficiently on commodity HW like CPU, intending to make E2E AI pipelines faster, easier and more accessible.
publications
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
Published in 2018
Extracting relations is critical for knowledge base completion and construction in which distant supervised methods are widely used to extract relational facts automatically with the existing knowledge bases…
Recommended citation: **Liu T**, Zhang X, Zhou W, et al. Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning[C]//Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018: 2195-2204. https://aclanthology.org/D18-1243.pdf
Improving Abstractive Document Summarization with Salient Information Modeling
Published in 2019
Comprehensive document encoding and salient information selection are two major difficulties for generating summaries with adequate salient information…
Recommended citation: You Y, Jia W, **Liu T**, et al. Improving abstractive document summarization with salient information modeling[C]//Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019: 2132-2141. https://aclanthology.org/P19-1205.pdf
Robust Neural Relation Extraction via Multi-Granularity Noises Reduction
Published in 2020
Distant supervision is widely used to extract relational facts with automatically labeled datasets to reduce high cost of human annotation…
Recommended citation: Zhang X, **Liu T**, Li P, et al. Robust neural relation extraction via multi-granularity noises reduction[J]. IEEE Transactions on Knowledge and Data Engineering, 2020, 33(9): 3297-3310. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8952645
Regularized Attentive Capsule Network for Overlapped Relation Extraction
Published in 2020
Distantly supervised relation extraction has been widely applied in knowledge base construction due to its less requirement of human efforts…
Recommended citation: **Liu T**, Lin X, Jia W, et al. Regularized Attentive Capsule Network for Overlapped Relation Extraction[C]//Proceedings of the 28th International Conference on Computational Linguistics. 2020: 6388-6398. https://aclanthology.org/2020.coling-main.562.pdf
Fine-grained relation extraction with focal multi-task learning
Published in 2020
Relation extraction aims to identify relation facts for pairs of entities in raw texts to construct triplets such as [Arthur Lee, place born, Memphis]…
Recommended citation: Zhang X, **Liu T**, Jia W, et al. Fine-grained relation extraction with focal multi-task learning[J]. Science China Information Sciences, 2020, 63(6): 1-3. http://scis.scichina.com/en/2020/169103.pdf
Fine-grained Question-Answer Sentiment Classification with Hierarchical Graph Attention Network
Published in 2021
User-oriented Question-Answer (QA) text pair plays an increasingly important role in online e-commerce platforms, and expresses sentiment information with complicated semantic relations, causing great challenges for accurate sentiment analysis…
Recommended citation: Zeng J, **Liu T**, Jia W, et al. Fine-grained Question-Answer sentiment classification with hierarchical graph attention network[J]. Neurocomputing, 2021, 457: 214-224. https://www.sciencedirect.com/science/article/pii/S0925231221009449/pdfft?md5=38db7c36bab4817be05d4e70c7aebdd4&pid=1-s2.0-S0925231221009449-main.pdf
Data Diversification Revisited: Why Does It Work?
Published in 2021
Data Diversification is a recently proposed method of data augmentation for Neural Machine Translation (NMT)…
Recommended citation: Song Y, **Liu T**, Jia W. Data Diversification Revisited: Why Does It Work?[C]//International Conference on Artificial Neural Networks. Springer, Cham, 2021: 521-533. https://link.springer.com/content/pdf/10.1007/978-3-030-86365-4.pdf?pdf=button%20sticky
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning
Published in 2021
Distantly supervised relation extraction is widely used in the construction of knowledge bases due to its high efficiency…
Recommended citation: Lin X, **Liu T**, Jia W, et al. Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning[C]//Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021: 165-174. https://aclanthology.org/2021.emnlp-main.15.pdf
Relation construction for aspect-level sentiment classification
Published in 2022
Aspect-level sentiment classification aims to obtain fine-grained sentiment polarities of different aspects in one sentence…
Recommended citation: Zeng J, **Liu T**, Jia W, et al. Relation construction for aspect-level sentiment classification[J]. Information Sciences, 2022, 586: 209-223. https://www.sciencedirect.com/science/article/pii/S0020025521012032/pdfft?md5=82435bdd06f0b06e0f3fdbd5f05232ce&pid=1-s2.0-S0020025521012032-main.pdf
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities
Published in 2022
Multimodal sentiment analysis has been studied under the assumption that all modalities are available…
Recommended citation: Zeng J, **Liu T**, Zhou J. Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities[J]. arXiv preprint arXiv:2204.13707, 2022. https://arxiv.org/pdf/2204.13707.pdf
Robust Multimodal Sentiment Analysis Via Tag Encoding of Uncertain Missing Modalities
Published in 2022
Multimodal sentiment analysis aims to extract emotions with multiple data sources, usually under the assumption that all modalities are available…
Recommended citation: Zeng J, Zhou J, **Liu T**. Robust Multimodal Sentiment Analysis Via Tag Encoding of Uncertain Missing Modalities[J]. IEEE Transactions on Multimedia, 2022. https://ieeexplore.ieee.org/iel7/6046/4456689/09894726.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.