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ORCIDDavid R. Mortensen
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- affiliation: Carnegie Mellon University, Pittsburgh, Language Technologies Institute
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2020 – today
- 2024
[j3]Brendon Boldt, David R. Mortensen:
A Review of the Applications of Deep Learning-Based Emergent Communication. Trans. Mach. Learn. Res. 2024 (2024)- [c46]Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R. Mortensen, Lori S. Levin:
Wav2Gloss: Generating Interlinear Glossed Text from Speech. ACL (1) 2024: 568-582 - [c45]Liang Lu, Peirong Xie, David R. Mortensen:
Semisupervised Neural Proto-Language Reconstruction. ACL (1) 2024: 14715-14759 - [c44]Shijia Zhou, Leonie Weissweiler, Taiqi He, Hinrich Schütze, David R. Mortensen, Lori S. Levin:
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons. LREC/COLING 2024: 3804-3811 - [c43]Liang Lu, Jingzhi Wang, David R. Mortensen:
Improved Neural Protoform Reconstruction via Reflex Prediction. LREC/COLING 2024: 8683-8707 - [c42]Ryan Soh-Eun Shim, Kalvin Chang, David R. Mortensen:
Phonotactic Complexity across Dialects. LREC/COLING 2024: 12734-12748 - [c41]Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nate B. Carlson, Nathaniel Romney Robinson, Mrinmaya Sachan, David R. Mortensen:
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. LREC/COLING 2024: 13344-13355 - [c40]David R. Mortensen, Valentina Izrailevitch, Yunze Xiao
, Hinrich Schütze, Leonie Weissweiler:
Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs. LREC/COLING 2024: 17359-17364 - [c39]Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, David R. Mortensen:
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages. EMNLP 2024: 13595-13602 - [c38]Brendon Boldt, David R. Mortensen:
XferBench: a Data-Driven Benchmark for Emergent Language. NAACL-HLT 2024: 1475-1489 - [i48]Kalvin Chang, Nathaniel R. Robinson, Anna Cai, Ting Chen, Annie Zhang, David R. Mortensen:
Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study. CoRR abs/2402.01582 (2024) - [i47]Ryan Soh-Eun Shim, Kalvin Chang, David R. Mortensen:
Phonotactic Complexity across Dialects. CoRR abs/2402.12998 (2024) - [i46]Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen:
Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding. CoRR abs/2402.14279 (2024) - [i45]Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel R. Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R. Mortensen, Lori S. Levin:
Wav2Gloss: Generating Interlinear Glossed Text from Speech. CoRR abs/2403.13169 (2024) - [i44]Shijia Zhou, Leonie Weissweiler, Taiqi He, Hinrich Schütze, David R. Mortensen, Lori S. Levin:
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons. CoRR abs/2403.17760 (2024) - [i43]David R. Mortensen, Valentina Izrailevitch, Yunze Xiao, Hinrich Schütze, Leonie Weissweiler:
Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs. CoRR abs/2403.17856 (2024) - [i42]Liang Lu, Jingzhi Wang, David R. Mortensen:
Improved Neural Protoform Reconstruction via Reflex Prediction. CoRR abs/2403.18769 (2024) - [i41]Chenxuan Cui, Ying Chen, Qinxin Wang, David R. Mortensen:
Neural Proto-Language Reconstruction. CoRR abs/2404.15690 (2024) - [i40]Liang Lu, Peirong Xie, David R. Mortensen:
Semisupervised Neural Proto-Language Reconstruction. CoRR abs/2406.05930 (2024) - [i39]Atharva Naik, Kexun Zhang, Nathaniel Robinson, Aravind Mysore, Clayton Marr, Hong Sng Rebecca Byrnes, Anna Cai, Kalvin Chang, David R. Mortensen:
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction. CoRR abs/2406.12725 (2024) - [i38]Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, David R. Mortensen:
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages. CoRR abs/2406.16030 (2024) - [i37]Jimin Sohn, Jeihee Cho, Junyong Lee, Songmu Heo, Ji-Eun Han, David R. Mortensen:
Carrot and Stick: Inducing Self-Motivation with Positive & Negative Feedback. CoRR abs/2406.16521 (2024) - [i36]Brendon Boldt, David R. Mortensen:
A Review of the Applications of Deep Learning-Based Emergent Communication. CoRR abs/2407.03302 (2024) - [i35]Brendon Boldt, David R. Mortensen:
XferBench: a Data-Driven Benchmark for Emergent Language. CoRR abs/2407.03456 (2024) - [i34]Brendon Boldt, David R. Mortensen:
ELCC: the Emergent Language Corpus Collection. CoRR abs/2407.04158 (2024) - [i33]Kalvin Chang, Yi-Hui Chou, Jiatong Shi, Hsuan-Ming Chen, Nicole Holliday, Odette Scharenborg, David R. Mortensen:
Self-supervised Speech Representations Still Struggle with African American Vernacular English. CoRR abs/2408.14262 (2024) - 2023
- [c37]Young Min Kim, Kalvin Chang, Chenxuan Cui, David R. Mortensen:
Transformed Protoform Reconstruction. ACL (2) 2023: 24-38 - [c36]Nathaniel Romney Robinson, Matthew Dean Stutzman, Stephen D. Richardson, David R. Mortensen:
African Substrates Rather Than European Lexifiers to Augment African-diaspora Creole Translation. AfricaNLP 2023 - [c35]Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen:
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. EMNLP 2023: 6508-6524 - [c34]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. EMNLP 2023: 9904-9923 - [c33]Yanlin Feng, Adithya Pratapa, David R. Mortensen:
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing. EMNLP (Findings) 2023: 15550-15560 - [c32]David R. Mortensen, Ela Gulsen, Taiqi He, Nathaniel R. Robinson, Jonathan Amith, Lindia Tjuatja, Lori S. Levin:
Generalized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation. SIGMORPHON 2023: 58-67 - [c31]Taiqi He, Lindia Tjuatja, Nathaniel R. Robinson, Shinji Watanabe, David R. Mortensen, Graham Neubig, Lori S. Levin:
SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing. SIGMORPHON 2023: 209-216 - [c30]Georgios Karakasidis, Nathaniel R. Robinson, Yaroslav Getman, Atieno Ogayo, Ragheb Al-Ghezi, Ananya Ayasi, Shinji Watanabe, David R. Mortensen, Mikko Kurimo:
Multilingual TTS Accent Impressions for Accented ASR. TSD 2023: 317-327 - [c29]Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen, Graham Neubig:
ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages. WMT 2023: 392-418 - [i32]Leonie Weissweiler, Taiqi He, Naoki Otani, David R. Mortensen, Lori S. Levin, Hinrich Schütze:
Construction Grammar Provides Unique Insight into Neural Language Models. CoRR abs/2302.02178 (2023) - [i31]Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nathaniel Carlson, Nathaniel R. Robinson, Mrinmaya Sachan, David R. Mortensen:
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. CoRR abs/2304.02541 (2023) - [i30]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. CoRR abs/2305.13707 (2023) - [i29]Young Min Kim, Kalvin Chang, Chenxuan Cui, David R. Mortensen:
Transformed Protoform Reconstruction. CoRR abs/2307.01896 (2023) - [i28]Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen, Graham Neubig:
ChatGPT MT: Competitive for High- (but not Low-) Resource Languages. CoRR abs/2309.07423 (2023) - [i27]Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen:
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. CoRR abs/2310.15113 (2023) - [i26]Yanlin Feng, Adithya Pratapa, David R. Mortensen:
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing. CoRR abs/2311.00835 (2023) - 2022
- [c28]Xinjian Li, Florian Metze, David R. Mortensen, Shinji Watanabe, Alan W. Black:
Zero-shot Learning for Grapheme to Phoneme Conversion with Language Ensemble. ACL (Findings) 2022: 2106-2115 - [c27]Kalvin Chang, Chenxuan Cui, Youngmin Kim, David R. Mortensen:
WikiHan: A New Comparative Dataset for Chinese Languages. COLING 2022: 3563-3569 - [c26]Nathaniel Romney Robinson, Perez Ogayo, Swetha R. Gangu, David R. Mortensen, Shinji Watanabe:
When Is TTS Augmentation Through a Pivot Language Useful? INTERSPEECH 2022: 3538-3542 - [c25]Xinjian Li, Florian Metze, David R. Mortensen, Alan W. Black, Shinji Watanabe:
ASR2K: Speech Recognition for Around 2000 Languages without Audio. INTERSPEECH 2022: 4885-4889 - [c24]Nathaniel R. Robinson, Cameron J. Hogan, Nancy Fulda, David R. Mortensen:
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican. LoResMT@COLING 2022: 35-42 - [c23]Xinjian Li, Florian Metze, David R. Mortensen, Alan W. Black, Shinji Watanabe:
Phone Inventories and Recognition for Every Language. LREC 2022: 1061-1067 - [c22]David R. Mortensen, Xinyu Zhang, Chenxuan Cui, Katherine J. Zhang:
A Hmong Corpus with Elaborate Expression Annotations. LREC 2022: 4992-5000 - [c21]Chenxuan Cui, Katherine J. Zhang, David R. Mortensen:
Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese. NAACL-HLT 2022: 3656-3669 - [i25]Aditi Chaudhary, Zaid Sheikh, David R. Mortensen, Antonios Anastasopoulos, Graham Neubig:
AUTOLEX: An Automatic Framework for Linguistic Exploration. CoRR abs/2203.13901 (2022) - [i24]Chenxuan Cui, Katherine J. Zhang, David R. Mortensen:
Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese. CoRR abs/2204.04080 (2022) - [i23]Brendon Boldt, David R. Mortensen:
Modeling Emergent Lexicon Formation with a Self-Reinforcing Stochastic Process. CoRR abs/2206.11146 (2022) - [i22]Brendon Boldt, David R. Mortensen:
Recommendations for Systematic Research on Emergent Language. CoRR abs/2206.11302 (2022) - [i21]Nathaniel R. Robinson, Perez Ogayo, Swetha R. Gangu, David R. Mortensen, Shinji Watanabe:
When Is TTS Augmentation Through a Pivot Language Useful? CoRR abs/2207.09889 (2022) - [i20]Xinjian Li, Florian Metze, David R. Mortensen, Alan W. Black, Shinji Watanabe:
ASR2K: Speech Recognition for Around 2000 Languages without Audio. CoRR abs/2209.02842 (2022) - [i19]Nathaniel R. Robinson, Cameron J. Hogan, Nancy Fulda, David R. Mortensen:
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican. CoRR abs/2209.06295 (2022) - [i18]Brendon Boldt, David R. Mortensen:
Mathematically Modeling the Lexicon Entropy of Emergent Language. CoRR abs/2211.15783 (2022) - 2021
- [j2]David Francis, Ella Rabinovich, Farhan Samir, David R. Mortensen, Suzanne Stevenson:
Quantifying Cognitive Factors in Lexical Decline. Trans. Assoc. Comput. Linguistics 9: 1529-1545 (2021) - [c20]Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen:
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks. EACL 2021: 2403-2414 - [c19]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. EMNLP (1) 2021: 7131-7150 - [c18]Xinjian Li, David R. Mortensen, Florian Metze, Alan W. Black:
Multilingual Phonetic Dataset for Low Resource Speech Recognition. ICASSP 2021: 6958-6962 - [c17]Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties. Interspeech 2021: 271-275 - [c16]Brian Yan, Siddharth Dalmia, David R. Mortensen, Florian Metze, Shinji Watanabe:
Differentiable Allophone Graphs for Language-Universal Speech Recognition. Interspeech 2021: 2471-2475 - [c15]David R. Mortensen, Jordan Picone, Xinjian Li, Kathleen Siminyu:
Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments. Interspeech 2021: 3660-3664 - [i17]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. CoRR abs/2103.16590 (2021) - [i16]David R. Mortensen, Jordan Picone, Xinjian Li, Kathleen Siminyu:
Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments. CoRR abs/2104.00824 (2021) - [i15]Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties. AfricaNLP 2021 - [i14]Brian Yan, Siddharth Dalmia, David R. Mortensen, Florian Metze, Shinji Watanabe:
Differentiable Allophone Graphs for Language-Universal Speech Recognition. CoRR abs/2107.11628 (2021) - [i13]David Francis, Ella Rabinovich, Farhan Samir, David R. Mortensen, Suzanne Stevenson:
Quantifying Cognitive Factors in Lexical Decline. CoRR abs/2110.05775 (2021) - 2020
- [c14]Xinjian Li, Siddharth Dalmia, David R. Mortensen, Juncheng Li, Alan W. Black, Florian Metze:
Towards Zero-Shot Learning for Automatic Phonemic Transcription. AAAI 2020: 8261-8268 - [c13]Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. EMNLP (1) 2020: 5212-5236 - [c12]Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W. Black, Florian Metze:
Universal Phone Recognition with a Multilingual Allophone System. ICASSP 2020: 8249-8253 - [c11]David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. Black, Florian Metze, Graham Neubig:
AlloVera: A Multilingual Allophone Database. LREC 2020: 5329-5336 - [c10]Shahan Ali Memon, Aman Tyagi, David R. Mortensen, Kathleen M. Carley:
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities. SBP-BRiMS 2020: 118-129 - [i12]Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov:
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. CoRR abs/2001.07740 (2020) - [i11]Xinjian Li, Siddharth Dalmia, David R. Mortensen, Juncheng Li, Alan W. Black, Florian Metze:
Towards Zero-shot Learning for Automatic Phonemic Transcription. CoRR abs/2002.11781 (2020) - [i10]Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W. Black, Florian Metze:
Universal Phone Recognition with a Multilingual Allophone System. CoRR abs/2002.11800 (2020) - [i9]David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. Black, Florian Metze, Graham Neubig:
AlloVera: A Multilingual Allophone Database. CoRR abs/2004.08031 (2020) - [i8]Shahan Ali Memon, Aman Tyagi, David R. Mortensen, Kathleen M. Carley:
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities. CoRR abs/2006.04334 (2020) - [i7]Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen:
Ranking Transfer Languages with Pragmatically-Motivated Features for Multilingual Sentiment Analysis. CoRR abs/2006.09336 (2020) - [i6]Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. CoRR abs/2010.01160 (2020)
2010 – 2019
- 2019
- [i5]Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu Kayi, Noura Farra, Kathleen R. McKeown:
The ARIEL-CMU Systems for LoReHLT18. CoRR abs/1902.08899 (2019) - [i4]Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime G. Carbonell, Yulia Tsvetkov:
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology. CoRR abs/1907.10129 (2019) - [i3]Zhong Zhou, Lori S. Levin, David R. Mortensen, Alex Waibel:
Low-Resource Machine Translation using Interlinear Glosses. CoRR abs/1911.02709 (2019) - 2018
- [j1]Patrick Littell, Tian Tian, Ruochen Xu, Zaid Sheikh, David R. Mortensen, Lori S. Levin, Francis M. Tyers, Hiroaki Hayashi, Graham Horwood, Steve Sloto, Emily Tagtow, Alan W. Black, Yiming Yang, Teruko Mitamura, Eduard H. Hovy:
The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach. Mach. Transl. 32(1-2): 105-126 (2018) - [c9]Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell:
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. EMNLP 2018: 3285-3295 - [c8]Patrick Littell, Tom McCoy, Na-Rae Han, Shruti Rijhwani, Zaid Sheikh, David R. Mortensen, Teruko Mitamura, Lori S. Levin:
Parser combinators for Tigrinya and Oromo morphology. LREC 2018 - [c7]David R. Mortensen, Siddharth Dalmia, Patrick Littell:
Epitran: Precision G2P for Many Languages. LREC 2018 - [i2]Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell:
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. CoRR abs/1808.09500 (2018) - 2017
- [c6]Patrick Littell, David R. Mortensen, Ke Lin, Katherine Kairis, Carlisle Turner, Lori S. Levin:
URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors. EACL (2) 2017: 8-14 - 2016
- [c5]Patrick Littell, Kartik Goyal, David R. Mortensen, Alexa Little, Chris Dyer, Lori S. Levin:
Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik. COLING 2016: 998-1006 - [c4]David R. Mortensen, Patrick Littell, Akash Bharadwaj, Kartik Goyal, Chris Dyer, Lori S. Levin:
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors. COLING 2016: 3475-3484 - [c3]Akash Bharadwaj, David R. Mortensen, Chris Dyer, Jaime G. Carbonell:
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. EMNLP 2016: 1462-1472 - [c2]Patrick Littell, David R. Mortensen, Kartik Goyal, Chris Dyer, Lori S. Levin:
Bridge-Language Capitalization Inference in Western Iranian: Sorani, Kurmanji, Zazaki, and Tajik. LREC 2016 - [c1]Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer:
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. HLT-NAACL 2016: 1357-1366 - [i1]Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer:
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. CoRR abs/1605.03832 (2016)
Coauthor Index
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