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Disambiguation of "Lan, Man"

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Target-dependent Event Detection: A New Task to Event Extraction from News.

, , , , , , and . IEEE BigData, page 571-580. IEEE, (2021)

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Dr. rer. nat. Tim Langen University of Stuttgart

Absorption spectroscopy for laser cooling and high-fidelity detection of barium monofluoride molecules, , , and . Physical review. A, Atomic, molecular, and optical physics, 108 (6): 062812 (2023)

Mirja Mannigel University of Stuttgart

Florian Mangold University of Stuttgart

Konrad Langenbeck

Christopher Langner University of Stuttgart

 

Other publications of authors with the same name

Text Representations for Text Categorization: A Case Study in Biomedical Domain., , , and . IJCNN, page 2557-2562. IEEE, (2007)Integrating word embeddings and traditional NLP features to measure textual entailment and semantic relatedness of sentence pairs., , , and . IJCNN, page 1-7. IEEE, (2015)Sense Sentiment Similarity: An Analysis., , , , and . AAAI, AAAI Press, (2012)From Semantic to Emotional Space in Probabilistic Sense Sentiment Analysis., , and . AAAI, AAAI Press, (2013)ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter., and . SemEval@NAACL-HLT, page 34-39. The Association for Computer Linguistics, (2015)ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter., , and . SemEval@NAACL-HLT, page 256-261. The Association for Computer Linguistics, (2016)ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models., , and . SemEval@ACL, page 491-496. Association for Computational Linguistics, (2017)ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task., , , and . SemEval@ACL, page 365-369. Association for Computational Linguistics, (2017)ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation., and . SemEval@COLING, page 265-270. The Association for Computer Linguistics, (2014)ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models., , and . SemEval@NAACL-HLT, page 231-235. Association for Computational Linguistics, (2018)