Biography

Recent Event

Publication

Can also be found in Google Scholar via here, and our released codes can be found in my Github.

2019

• Tackling Graphical NLP problems with Graph Recurrent Networks. Linfeng Song.
  PhD Thesis Paper.
• SemBleu: A Robust Metric for AMR Parsing Evaluation. Linfeng Song and Daniel Gildea.
  In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL-19).
• Semantic Neural Machine Translation using AMR. Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang and Jinsong Su.
  In Transaction of ACL (TACL) 2019.

2018

• Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks.
  Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian and Daniel Gildea.
  In arXiv preprint arXiv:1809.02040.
• Neural Transition-based Syntactic Linearization. Linfeng Song, Yue Zhang and Daniel Gildea.
  In Proceedings of the 2018 Conference on Natural Language Generation (INLG-18).
  Oral acceptance rate is 19.6%. Work was done in the spring of 2017.
• N-ary Relation Extraction using Graph State LSTM. Linfeng Song, Yue Zhang, Zhiguo Wang and Daniel Gildea.
  In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-18).
• A Graph-to-Sequence Model for AMR-to-Text Generation. Linfeng Song, Yue Zhang, Zhiguo Wang and Daniel Gildea.
  In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18).
• Sentence-State LSTM for Text Representation. Yue Zhang, Qi Liu and Linfeng Song.
  In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18).
• Sequence-to-sequence Models for Cache Transition Systems. Xiaochang Peng, Linfeng Song, Daniel Gildea and Giorgio Satta.
  In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18).
• Leveraging Context Information for Natural Question Generation. Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang and Daniel Gildea.
  In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-18).

2017

• A Unified Query-based Generative Model for Question Generation and Question Answering. Linfeng Song, Zhiguo Wang and Wael Hamza.
  In arXiv preprint arXiv:1709.01058.
• k-Nearest Neighbor Augmented Neural Networks for Text Classification. Zhiguo Wang, Wael Hamza and Linfeng Song.
  In arXiv preprint arXiv:1708.07863.
• AMR-to-text Generation with Synchronous Node Replacement Grammar. Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang and Daniel Gildea.
  In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL-17).

2016

• Word Embedding, Sense Embedding and their Application to Word Sense Induction. Linfeng Song.
  Area Paper. slides
• AMR-to-text generation as a Traveling Salesman Problem. Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang and Daniel Gildea.
  In Proceeddings of EMNLP 2016. Austin, Texas, USA.
• Sense Embedding for Word Sense Induction. Linfeng Song, Zhiguo Wang, Haitao Mi and Daniel Gildea.
  In Proceedings of *SEM (ACL Workshop) 2016, Berlin, Germany.

2015

• A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing. Xiaochang Peng, Linfeng Song and Daniel Gildea.
  In Proceedings of CoNLL 2015, Beijing, China.

2014 and before

• Joint Morphological Generation and Syntactic Linearization. Linfeng Song, Yue Zhang, Kai Song and Qun Liu.
  In Proceedings of AAAI 2014, Quebec City, Canada.
• Syntactic SMT Using a Discriminative Text Generation Model. Yue Zhang, Kai Song, Linfeng Song, Jingbo Zhu and Qun Liu.
  In Proceedings of EMNLP 2014, Doha, Qatar.
• Translation with Source Constituency and Dependency Trees. Fandong Meng, Jun Xie, Linfeng Song, Yajuan Lv and Qun Liu.
  In Proceedings of EMNLP 2013, Seattle, America.
• Bagging-based System Combination for Domain Adaptation. Linfeng Song, Haitao Mi, Yajuan Lv and Qun Liu.
  In Proceedings of MT-Summit XIII, Xiamen, China.

Professional Service

• Program Committee of ACL (2019), AAAI (2019), IJCAI (2013)
• Reviewer of EMNLP (2014--2018), NAACL (2015, 2018--2019), Coling (2018 outstanding reviewer), EACL (2017)
• Reviewer of journals: TASLP (2016), TALLIP (2019)
• Reviewer of other revenues: WMT (2013--2016, 2018), *SEM (2019), S$^2$MT (2015), EAMT (2017), CWMT (2018)

Internships

• IBM Thomas J. Watson Research Center, summer of 2018, worked with Zhiguo Wang, Mo Yu and Radu Florian
• IBM Thomas J. Watson Research Center, summer of 2017, worked with Zhiguo Wang and Wael Hamza
• Bosch American Research Center, summer of 2016, worked with Lin Zhao
• IBM Thomas J. Watson Research Center, summer of 2015, worked with Zhiguo Wang, Haitao Mi and Abe Ittycheriah

Teaching Assistants

2017 Fall

2017 Spring

2016 Fall

2016 Spring

Courses

2016 Spring

2015 Fall

2015 Spring

2014 Fall