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Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language.

, , , , and . LDL@IJCNLP, page 30-38. Association for Computational Linguistics, (2015)

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Topic-based Multi-Document Summarization with Probabilistic Latent Semantic Analysis.. RANLP, page 144-149. RANLP 2009 Organising Committee / ACL, (2009)Identifying Sentence-Level Semantic Content Units with Topic Models., , , , and . DEXA Workshops, page 59-63. IEEE Computer Society, (2010)Question Answering for Technical Customer Support., , , , , , , and . NLPCC (1), volume 11108 of Lecture Notes in Computer Science, page 3-15. Springer, (2018)An Ontology-Based Approach to Text Summarization., , and . Web Intelligence/IAT Workshops, page 291-294. IEEE Computer Society, (2008)978-0-7695-3496-1.Improving Relation Extraction by Pre-trained Language Representations., , and . CoRR, (2019)Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs., , , , , , and . J. Web Semant., (2016)A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries., , , , and . QoMEX, page 1-3. IEEE, (2019)Twitter Geolocation Prediction Using Neural Networks., and . GSCL, volume 10713 of Lecture Notes in Computer Science, page 248-255. Springer, (2017)Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs., , and . WASSA@EMNLP, page 316-321. Association for Computational Linguistics, (2018)Tailoring text for automatic layouting of newspaper pages., and . ICPR, page 1-4. IEEE Computer Society, (2008)