FeiXiaProfessorfxia@uw.edu(206) 543-9764Guggenheim 418AOffice Hours: 2:15-3:15pm on Thurs (in-person), 10-11am on Friday (remote via Canvas Conferences, only for ling570 students)Fields of Interest Computational Linguistics Natural Language Processing Background and ExperienceSummaryPhD 2001, University of PennsylvaniaProf. Xia’s research area is computational linguistics, and covers a wide range of NLP tasks including morphological analysis, part-of-speech tagging, grammar extraction and grammar generation, treebank development, machine translation, named-entity recognition, and information extraction. Each year, she teaches two courses in the Ling 570-573 series and one seminar in CL. In addition, along with other CLMS faculty, she organizes monthly graduation planning meetings and supervises CLMS students for their final projects and theses. Websites: Faculty Website Research Selected: Projects and Grants Fei Xia and Emily M. Bender, Co-PIs. AGGREGATION Project: Automatic Generation of Grammars for Endangered Languages from Glosses and Typological Information. (Ongoing) Selected: Publications, Journal Articles Xia, Fei, William D. Lewis, Michael Wayne Goodman, Glenn Slayden, Ryan Georgi, Joshua Crowgey and Emily M. Bender. In press. Enriching a Massively Multilingual Database of Interlinear Glossed Text. Language Resources and Evaluation. (Forthcoming) Goodman, Michael Wayne, Joshua Crowgey, Fei Xia and Emily M. Bender. 2015. Xigt: Extensible Interlinear Glossed Text for Natural Language Processing. Language Resources and Evaluation 49(2):455-485. Selected: Publications Levow, Gina-Anne, Emily M. Bender, Patrick Littell, Kristen Howell, Shobhana Chelliah, Joshua Crowgey, Dan Garrette, Jeff Good, Sharon Hargus, David Inman, Michael Maxwell, Michael Tjalve, and Fei Xia. 2017. STREAMLInED Challenges: Aligning Research Interests with Shared Tasks. In Proceedings of ComputEL-2: 2nd Workshop on Computational Methods for Endangered Languages, ICLDC 2017, Honolulu Hawai`i. [.bib] Selected: Publications, Conference Proceedings Xia, Fei, William D. Lewis, Michael Wayne Goodman, Joshua Crowgey, and Emily M. Bender. 2014. Enriching ODIN. Proceedings of the Ninth International Conference of Language Resources and Evaluation (LREC-2014) Bender, Emily M., Joshua Crowgey, Michael Wayne Goodman and Fei Xia. 2014. Learning Grammar Specifications from IGT: A Case Study of Chintang. Proceedings of the 2014 Workshop on the Use of Computational Methods in the Study of Endangered Languages, ACL 2014, Baltimore, MD. Research Advised: Publications Conference Proceedings Song, Yan, et al. "Summarizing Medical Conversations via Identifying Important Utterances." Proceedings of the 28th International Conference on Computational Linguistics. 2020. Tian, Yuanhe, Yan Song, and Fei Xia. "Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-grams." Proceedings of the 28th International Conference on Computational Linguistics. 2020. Tian, Yuanhe, et al. "Improving Constituency Parsing with Span Attention." Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. 2020. Tian, Yuanhe, Yan Song, and Fei Xia. "Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks." Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. Tian, Yuanhe, et al. "Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge." Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020. Tian, Y., Song, Y., Xia, F., Zhang, T., & Wang, Y. (2020, July). Improving Chinese Word Segmentation with Wordhood Memory Networks. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 8274-8285). Tian, Yuanhe, et al. "Chimed: a Chinese medical corpus for question answering." Proceedings of the 18th BioNLP Workshop and Shared Task. 2019. Research Advised: Publications Journal Articles Tian, Yuanhe, et al. "Improving biomedical named entity recognition with syntactic information." BMC Bioinformatics 21, 539 (2020) Courses Taught Winter 2022 LING 572 A: Advanced Statistical Methods in Natural Language Processing LING 572 B: Advanced Statistical Methods in Natural Language Processing LING 572 C: Advanced Statistical Methods in Natural Language Processing LING 572 D: Advanced Statistical Methods in Natural Language Processing LING 575 A: Topics in Computational Linguistics LING 575 B: Topics in Computational Linguistics Autumn 2021 LING 570 A: Shallow Processing Techniques for Natural Language Processing LING 570 B: Shallow Processing Techniques for Natural Language Processing LING 570 C: Shallow Processing Techniques for Natural Language Processing LING 570 D: Shallow Processing Techniques for Natural Language Processing Summer 2021 Full-term LING 700 A: Master's Thesis Winter 2021 LING 572 B: Advanced Statistical Methods in Natural Language Processing LING 572 C: Advanced Statistical Methods in Natural Language Processing LING 572 D: Advanced Statistical Methods in Natural Language Processing LING 575 B: Topics in Computational Linguistics LING 575 G: Topics in Computational Linguistics Autumn 2020 LING 570 B: Shallow Processing Techniques for Natural Language Processing LING 570 C: Shallow Processing Techniques for Natural Language Processing LING 570 D: Shallow Processing Techniques for Natural Language Processing Spring 2020 LING 575 A: Topics in Computational Linguistics LING 575 B: Topics in Computational Linguistics LING 575 G: Topics in Computational Linguistics Spring 2019 LING 575 B: Topics in Computational Linguistics LING 575 C: Topics in Computational Linguistics Autumn 2018 LING 570 A: Shallow Processing Techniques for Natural Language Processing LING 570 B: Shallow Processing Techniques for Natural Language Processing LING 570 C: Shallow Processing Techniques for Natural Language Processing LING 570 D: Shallow Processing Techniques for Natural Language Processing Winter 2018 LING 572 A: Advanced Statistical Methods In Natural Language Processing LING 572 B: Advanced Statistical Methods In Natural Language Processing LING 572 C: Advanced Statistical Methods In Natural Language Processing LING 572 D: Advanced Statistical Methods In Natural Language Processing LING 575 A: Topics In Computational Linguistics LING 575 B: Topics In Computational Linguistics LING 575 H: Topics In Computational Linguistics Autumn 2017 LING 570 A: Shallow Processing Techniques For Natural Language Processing LING 570 B: Shallow Processing Techniques For Natural Language Processing LING 570 C: Shallow Processing Techniques For Natural Language Processing LING 570 D: Shallow Processing Techniques For Natural Language Processing Winter 2017 LING 572 A: Advanced Statistical Methods In Natural Language Processing LING 572 B: Advanced Statistical Methods In Natural Language Processing LING 572 C: Advanced Statistical Methods In Natural Language Processing LING 572 D: Advanced Statistical Methods In Natural Language Processing LING 575 E: Topics In Computational Linguistics LING 575 F: Topics In Computational Linguistics Autumn 2016 LING 570 A: Shallow Processing Techniques For Natural Language Processing LING 570 B: Shallow Processing Techniques For Natural Language Processing LING 570 C: Shallow Processing Techniques For Natural Language Processing LING 570 D: Shallow Processing Techniques For Natural Language Processing Winter 2016 LING 572 A: Advanced Statistical Methods In Natural Language Processing LING 572 B: Advanced Statistical Methods In Natural Language Processing LING 572 C: Advanced Statistical Methods In Natural Language Processing LING 572 D: Advanced Statistical Methods In Natural Language Processing LING 575 B: Topics In Computational Linguistics LING 575 C: Topics In Computational Linguistics Autumn 2015 LING 570 A: Shallow Processing Techniques For Natural Language Processing LING 570 B: Shallow Processing Techniques For Natural Language Processing LING 570 C: Shallow Processing Techniques For Natural Language Processing LING 570 D: Shallow Processing Techniques For Natural Language Processing Spring 2015 LING 575 D: Topics In Computational Linguistics LING 575 F: Topics In Computational Linguistics Winter 2015 LING 572 A: Advanced Statistical Methods In Natural Language Processing LING 572 B: Advanced Statistical Methods In Natural Language Processing LING 572 C: Advanced Statistical Methods In Natural Language Processing LING 572 D: Advanced Statistical Methods In Natural Language Processing Autumn 2014 LING 570 A: Shallow Processing Techniques For Natural Language Processing LING 570 B: Shallow Processing Techniques For Natural Language Processing LING 570 C: Shallow Processing Techniques For Natural Language Processing LING 570 D: Shallow Processing Techniques For Natural Language Processing Winter 2014 LING 572 A: Advanced Statistical Methods In Natural Language Processing LING 572 B: Advanced Statistical Methods In Natural Language Processing LING 572 C: Advanced Statistical Methods In Natural Language Processing LING 575 D: Topics In Computational Linguistics LING 575 E: Topics In Computational Linguistics LING 575 F: Topics In Computational Linguistics Autumn 2013 LING 570 A: Shallow Processing Techniques For Natural Language Processing LING 570 B: Shallow Processing Techniques For Natural Language Processing LING 570 C: Shallow Processing Techniques For Natural Language Processing LING 570 D: Shallow Processing Techniques For Natural Language Processing Related News Related News Congratulations to Amandalynne Paullada, PhD - Jan 12, 2022 CLMS News - Oct 6, 2020 Compling Students, Faculty, and Alums Well-represented at ACL Annual Meeting in Vancouver BC - Aug 15, 2017 Linguistics Service Recognition Celebration - May 2, 2017 UW Linguistics graduate student awarded MSR Graduate Women's Scholarship - Feb 12, 2015 AffiliationsAffiliated Departments: UW Medicine Share:
