TY - JOUR AU - Li, Han AU - Govind, Yash AU - Mudgal, Sidharth AU - Rekatsinas, Theodoros AU - Doan, AnHai PY - 2021/10/12 Y2 - 2024/03/29 TI - DEEP LEARNING FOR SEMANTIC MATCHING: A SURVEY JF - Journal of Computer Science and Cybernetics JA - JCC VL - 37 IS - 4 SE - SPECIAL ISSUE DEDICATED TO THE MEMORY OF PROFESSOR PHAN DINH DIEU - PART B DO - 10.15625/1813-9663/37/4/16151 UR - https://vjs.ac.vn/index.php/jcc/article/view/16151 SP - 365--402 AB - <p>Semantic matching finds certain types of semantic relationships among schema/data constructs. Examples include entity matching, entity linking, coreference resolution, schema/ontology matching, semantic text similarity, textual entailment, question answering, tagging, etc. Semantic matching has received much attention in the database, AI, KDD, Web, and Semantic Web communities. Recently, many works have also applied deep learning (DL) to semantic matching. In this paper we survey this fast growing topic. We define the semantic matching problem, categorize its variations into a taxonomy, and describe important applications. We describe DL solutions for important variations of semantic matching. Finally, we discuss future R\&amp;D directions.</p> ER -