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Capturing term dependencies using a language model based on sentence trees.

, and . CIKM, page 383-390. ACM, (2002)

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Multi Sense Embeddings from Topic Models., , , and . ICNLSP, page 34-41. Association for Computational Linguistics, (2019)Event threading within news topics., , , and . CIKM, page 446-453. ACM, (2004)Relevant query feedback in statistical language modeling., , and . CIKM, page 560-563. ACM, (2003)Capturing term dependencies using a language model based on sentence trees., and . CIKM, page 383-390. ACM, (2002)Sequence-to-Sequence RNNs for Text Summarization., , and . CoRR, (2016)Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding., and . BioNLP@IJCNLP, page 52-60. Association for Computational Linguistics, (2015)Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction., , , , , , , , , and . ACL/IJCNLP (1), page 3263-3276. Association for Computational Linguistics, (2021)Topic Modeling with Wasserstein Autoencoders., , , and . ACL (1), page 6345-6381. Association for Computational Linguistics, (2019)Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs., and . ICWSM, The AAAI Press, (2008)The SESAME MED System., , , , , , , , , and 10 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2011)