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In this article, we propose a novel approach to recognize inference with probabilistic logical reasoning. Our approach is built on Markov logic networks (MLNs) framework, which is a probabilistic extension of first-order logic. We design specific semantic rules based on the surface, syntactic, and semantic representations of texts, and map these rules to logical representations. We also extract information from some knowledge bases as common sense logic rules. Then we utilize MLNs framework to make predictions with combining statistical and logical reasoning. Experiment results shows that our system can achieve better performance than state-of-the-art RITE systems.<\/jats:p>","DOI":"10.1145\/2382593.2382597","type":"journal-article","created":{"date-parts":[[2012,12,5]],"date-time":"2012-12-05T18:55:48Z","timestamp":1354733748000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Recognizing Inference in Texts with Markov Logic Networks"],"prefix":"10.1145","volume":"11","author":[{"given":"Xipeng","family":"Qiu","sequence":"first","affiliation":[{"name":"Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Cao","sequence":"additional","affiliation":[{"name":"Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhao","family":"Liu","sequence":"additional","affiliation":[{"name":"Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuanjing","family":"Huang","sequence":"additional","affiliation":[{"name":"Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,12]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/1892211.1892215"},{"volume-title":"Proceedings of the 2nd PASCAL Challenges Workshop on Recognizing Textual Entailment (RTE\u201906)","author":"Bar-Haim R.","key":"e_1_2_1_2_1"},{"volume-title":"Proceedings of the Text Analysis Conference (TAC\u201909)","author":"Bentivogli L.","key":"e_1_2_1_3_1"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220654"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220535"},{"volume-title":"Proceedings of the Conference on Evaluation of NLP and Speech Tools for Italian (EVALITA\u201909)","author":"Bos J.","key":"e_1_2_1_6_1"},{"volume-title":"Proceedings of the Workshop on Cross-Language Evaluation Forum (CLEF\u201911)","author":"Cao L.","key":"e_1_2_1_7_1"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/11735106_20"},{"volume-title":"Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment (ACL\u201905)","author":"Corley C.","key":"e_1_2_1_9_1"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/234173.234209"},{"key":"e_1_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Cristianini N. and Shawe-Taylor J. 2000. 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