Professor
Contact Information
GUG 418A
Office Hours
3:00-4:00pm on Thurs (in-person), 10:30-11:30am on Mon (remote via Canvas Conferences, only for ling570 students)
Fields of Interest
Biography
PhD 2001, University of Pennsylvania
Prof. 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.
Research
Selected Research
- C.m. Downey, Fei Xia, Gina-Anne Levow, and Shane Steinert-Threlkeld. 2022. A Masked Segmental Language Model for Unsupervised Natural Language Segmentation. In Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 39–50, Seattle, Washington. Association for Computational Linguistics Download PDF
- 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]
- 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.
- 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.
- 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.
- Fei Xia and Emily M. Bender, Co-PIs. AGGREGATION Project: Automatic Generation of Grammars for Endangered Languages from Glosses and Typological Information.
Research Advised
- 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 biomedical named entity recognition with syntactic information." BMC Bioinformatics 21, 539 (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.
Courses Taught
Autumn 2024
- 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 2024
- 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 C: Topics in Computational Linguistics
Autumn 2023
- 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 2023
- 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 C: Topics in Computational Linguistics
Autumn 2022
- 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 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
- LING 575 E: 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
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
Resources & Related Links
Affiliations
Home Department
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Related News
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- Linguistics Service Recognition Celebration (May 2, 2017)
- UW Linguistics graduate student awarded MSR Graduate Women's Scholarship (February 12, 2015)