38 Papers from LTI-affiliated Authors Accepted

Thursday, April 9, 2020 - by Bryan Burtner

The 2020 Annual Conference of the Association for Computational Linguistics (ACL 2020) features a bevy of accepted papers from LTI faculty and students – 38 in all. In addition to the large contingent of LTI-authored papers, a number of LTI students and faculty members are involved in workshops affiliated with the ACL conference, either as members of organizing committees, or as invited speakers.

The ACL conference, now in its 58th year, bills itself as "the premier conference of the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language." Though it was originally scheduled to take place July 5-10 in Seattle, the conference's organizing committee recently announced that ACL 2020 will instead take place entirely online, on the same dates, due to concerns and travel restrictions related to the COVID-19 pandemic.

The following workshops and committees feature LTI researchers:

The International Conference on Spoken Language Translation (IWSLT 2020)
Alexander Waibel, Organizing Committee Chair

Joint Workshop on Narrative Understanding, Storylines, and Events (NUSE)
Teruko Mitamura, Organizing Committee
Alexander Hauptmann, Invited Speaker 

Workshop on Advances in Language and Vision Research (ALVR 2020)
LP Morency, Invited Speaker

Workshop on Representation Learning for NLP (RepL4NLP-2020)
Emma Strubell, Organizing Committee

Workshop on Neural Generation and Translation (WNGT 2020)
Graham Neubig, Organizing Committee
Hiroaki Hayashi, Organizing Committee

Workshop on Automatic Simultaneous Translation (AutoSimTrans 2020)
Alexander Waibel, Invited Keynote Speaker

Grand-Challenge and Workshop on Human Multimodal Language (Challenge-HML)
LP Morency, Organizing Committee
Amir Zadeh, Organizing Committee

Organizing Committee
Shruti Rijhwani, Student Research Workshop Chair

Diveristy & Inclusion Committee
Khyathi Chandu, Academic Inclusion Chair
Aakanksha Naik, Academic Inclusion Chair
Shruti Palaskar, Socio-cultural Inclusion Chair

Papers and presentations including LTI researchers are as follows:

Naik, A. & Rosé, C. P. (2020).  “Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation”

Shikib Mehri and Maxine Eskenazi (2020). “USR: An Unsupervised and Reference Free Evaluation Metric for Dialog”

Yulan Feng, Shikib Mehri, Maxine Eskenazi and Tiancheng Zhao (2020). ”’None of the Above’: Measure Uncertainty in Dialog Response Retrieval”

Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig (2020). “Generalizing Natural Language Analysis through Span-relation Representations”, Long Paper

Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig (2020). “Incorporating External Knowledge through Pre-training for Natural Language to Code Generation”, Short Paper

Volkan Cirik, Taylor Berg-Kirkpatrick, and Louis-Philippe Morency (2020) “Refer360°: A Referring Expression Recognition Dataset in 360° Images”

Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou (2020). “MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices”, Long Paper

Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar, Yiming Yang, (2020). “A Re-evaluation of Knowledge Graph Completion Methods”, Short Paper

Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel (2020). “TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data (BibTex)”

Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton (2020). “Learning to Deceive with Attention-Based Explanations”

Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W Black and Jason Eisner (2020). “A Corpus for Large-Scale Phonetic Typology”

Vaibhav Kumar and Alan W Black (2020). “ClarQ: A large-scale and diverse dataset for Clarification Question Generation”

Shrimai Prabhumoye, Ruslan Salakhutdinov and Alan W Black (2020). “Topological Sort for Sentence Ordering”

Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W Black and Shrimai Prabhumoye  (2020). “Politeness Transfer: A Tag and Generate Approach”

Elizabeth Salesky and Alan W Black (2020). “Phoneme Features Improve Speech Translation”

Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov and Louis-Philippe Morency (2020). “Towards Debiasing Sentence Representations”

Tian Jin, Zhun Liu, Shengjia Yan, Alexandre Eichenberger and Louis-Philippe Morency (2020). “Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions”

Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, AmirAli Bagher Zadeh, Chengfeng Mao, Louis-Philippe Morency and Ehsan Hoque (2020). “Integrating Multimodal Information in Large Pretrained Transformers”

Wasifur Rahman, Md Kamrul Hasan, Amir Zadeh, Louis-Philippe Morency, Mohammed Ehsan Hoque (2020). “Multimodal Fine-tuning of Advanced Transformer Models”

Mengzhou Xia, Antonios Anastasopoulos, Graham Neubig, Yiming Yang and Ruochen Xu (2020) “Predicting Performance for Natural Language Processing”

Zong, S., E.H. Hovy, and A. Ritter (2020.) “Measuring Forecasting Skill from Text”

Zhang, Z., X. Kong, Z. Liu, X. Ma, and E.H. Hovy. 2020.  “A Two-Step Approach for Implicit Event Argument Detection”

Kong, X., V. Gangal, and E.H. Hovy. 2020. “Sentence Cloze Dataset with High Quality Distractors From Examinations”

Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander Hauptmann. “Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting”

Kartik Goyal, Chris Dyer, Christopher Warren, Max G'Sell, Taylor Berg-Kirkpatrick (2020). ”A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing”

Maria Ryskina, Matthew R. Gormley, and Taylor Berg-Kirkpatrick (2020). “Phonetic and Visual Priors for Decipherment of Informal Romanization”

Shruti Rijhwani, Shuyan Zhou, Graham Neubig, and Jaime Carbonell (2020). “Soft Gazetteers for Low-resource Named Entity Recognition”

Shruti Rijhwani and Daniel Preoţiuc-Pietro (2020). “Temporally-informed Analysis of Named Entity Recognition”

Xinyi Wang, Yulia Tsvetkov and Graham Neubig (2020). "Balancing Training for Multilingual Neural Machine Translation"

Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu and Jingjing Liu (2020). "Distilling Knowledge Learned in BERT for Text Generation"

Xiaochuang Han, Byron C. Wallace and Yulia Tsvetkov (2020). "Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions"

Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu and Xuanjing Huang (2020). "Extractive Summarization as Text Matching"

Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu and Xuanjing Huang (2020). "Heterogeneous Graph Neural Networks for Extractive Document Summarization"

Antonios Anastasopoulos and Graham Neubig (2020). "Should All Cross-Lingual Embeddings Speak English?"

Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya McCarthy and Katharina Kann (2020). "Unsupervised Morphological Paradigm Completion"

Keita Kurita, Paul Michel and Graham Neubig (2020). "Weight Poisoning Attacks on Pretrained Models"

Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell and Naoaki Okazaki (2020). "It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information"

Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch and Thomas Schaaf (2020). "Posterior Calibrated Training on Sentence Classification Tasks"

For More Information, Contact:

Bryan Burtner | bburtner@cs.cmu.edu | 412-268-2805