'A million ways to say I love you' or Learning to paraphrase with Neural Machine Translation
演讲者： Prof. Mirella Lapata
地点： 106 Lecture Hall, Institute of computer science & technology of Peking UniversityTitle: ‘A million ways to say I love you’ or Learning to paraphrase with Neural Machine Translation
Recognizing and generating paraphrases is an important component in many natural language processing applications. A well-established technique for automatically extracting paraphrases leverages bilingual corpora to find meaning-equivalent phrases in a single language by ‘pivoting’ over a shared translation in another language. In the first part of the talk I will revisit bilingual pivoting in the context of neural machine translation and present a paraphrasing model based purely on neural networks. The proposed model represents paraphrases in a continuous space, estimates the degree of semantic relatedness between text segments of arbitrary length, and generates paraphrase candidates for any source input. In the second part of the talk I will illustrate how neural paraphrases can be seamlessly integrated in models of question answering and summarization, achieving competitive results across datasets and languages.
Bio: Mirella Lapata is professor of natural language processing in the School of Informatics at the University of Edinburgh. Her research focuses on getting computers to understand, reason with, and generate. She is as an associate editor of the Journal of Artificial Intelligence Research and has served on the editorial boards of Transactions of the ACL and Computational Linguistics. She was the first recipient of the Karen Sparck Jones award of the British Computer Society, recognizing key contributions to NLP and information retrieval. She received two EMNLP best paper awards and currently holds a prestigious Consolidator Grant from the European Research Council.