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ORCID59th ACL 2021: Online Conference - Student Research Workshop
- Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas:
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, ACL 2021, Online, JUli 5-10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-952148-03-3 - Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas:
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop. - Evgeniia Tokarchuk
, David Thulke, Weiyue Wang, Christian Dugast, Hermann Ney:
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition. 1-15 - Qingyun Wang, Semih Yavuz, Xi Victoria Lin, Heng Ji, Nazneen Fatema Rajani:
Stage-wise Fine-tuning for Graph-to-Text Generation. 16-22 - Weiyue Wang, Zijian Yang, Yingbo Gao, Hermann Ney:
Transformer-Based Direct Hidden Markov Model for Machine Translation. 23-32 - Wei Zhu:
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search. 33-43 - Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Émilie Pagé-Perron, Jacob L. Dahl:
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages. 44-59 - Ryo Ueda, Koki Washio:
On the Relationship between Zipf's Law of Abbreviation and Interfering Noise in Emergent Languages. 60-70 - Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum:
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. 71-80 - Jules Samaran, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers. 81-86 - Weiqi Gu, Haiyue Song, Chenhui Chu, Sadao Kurohashi:
Video-guided Machine Translation with Spatial Hierarchical Attention Network. 87-92 - Huikai Chua:
Stylistic approaches to predicting Reddit popularity in diglossia. 93-100 - Alberto Testoni, Raffaella Bernardi:
"I've Seen Things You People Wouldn't Believe": Hallucinating Entities in GuessWhat?! 101-111 - Sourav Kumar, Salil Aggarwal, Dipti Misra Sharma, Radhika Mamidi:
How do different factors Impact the Inter-language Similarity? A Case Study on Indian languages. 112-118 - Dimosthenis Antypas, José Camacho-Collados, Alun D. Preece, David Rogers:
COVID-19 and Misinformation: A Large-Scale Lexical Analysis on Twitter. 119-126 - Anna N. Smirnova, Evgeniy Slobodkin, George A. Chernishev:
Situation-Based Multiparticipant Chat Summarization: a Concept, an Exploration-Annotation Tool and an Example Collection. 127-137 - Seiichi Inoue, Taichi Aida, Mamoru Komachi, Manabu Asai:
Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings. 138-147 - He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li:
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2. 148-162 - Sosuke Nishikawa, Ryokan Ri, Yoshimasa Tsuruoka:
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings. 163-173 - Samuel Kriman, Heng Ji:
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation. 174-179 - Smriti Singh, Tanvi Anand, Arijit Ghosh Chowdhury, Zeerak Waseem:
"Hold on honey, men at work": A semi-supervised approach to detecting sexism in sitcoms. 180-185 - Patrick Stadler, Vivien Macketanz, Eleftherios Avramidis:
Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena. 186-196 - Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation. 197-214 - Jhonny Cerezo, Felipe Bravo-Marquez, Alexandre Bergel:
Tools Impact on the Quality of Annotations for Chat Untangling. 215-220 - Antoine Simoulin, Benoît Crabbé:
How Many Layers and Why? An Analysis of the Model Depth in Transformers. 221-228 - Sora Kadotani, Tomoyuki Kajiwara, Yuki Arase, Makoto Onizuka:
Edit Distance Based Curriculum Learning for Paraphrase Generation. 229-234 - Tamás Ficsor, Gábor Berend:
Changing the Basis of Contextual Representations with Explicit Semantics. 235-247 - Piotr Milkowski, Marcin Gruza, Kamil Kanclerz, Przemyslaw Kazienko, Damian Grimling, Jan Kocon:
Personal Bias in Prediction of Emotions Elicited by Textual Opinions. 248-259 - Wei Zhu:
MVP-BERT: Multi-Vocab Pre-training for Chinese BERT. 260-269 - Raj Ratn Pranesh, Mehrdad Farokhenajd, Ambesh Shekhar, Genoveva Vargas-Solar:
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter. 270-283 - Christine Yang, Duanchen Liu, Qingyun Yang, Zoey Liu, Emily Prud'hommeaux:
Predicting pragmatic discourse features in the language of adults with autism spectrum disorder. 284-291 - Vivek Gupta, Prerna Bharti, Pegah Nokhiz, Harish Karnick:
SumPubMed: Summarization Dataset of PubMed Scientific Articles. 292-303 - Lolo Aboufoul, Khyati Mahajan, Tiffany Gallicano, Sara Levens, Samira Shaikh:
A Case Study of Analysis of Construals in Language on Social Media Surrounding a Crisis Event. 304-309 - Daryna Dementieva, Alexander Panchenko:
Cross-lingual Evidence Improves Monolingual Fake News Detection. 310-320 - Shintaro Harada, Taro Watanabe:
Neural Machine Translation with Synchronous Latent Phrase Structure. 321-330 - Sei Iwata, Taro Watanabe, Masaaki Nagata:
Zero Pronouns Identification based on Span prediction. 331-336 - Raúl Vázquez, Hande Çelikkanat, Mathias Creutz, Jörg Tiedemann:
On the differences between BERT and MT encoder spaces and how to address them in translation tasks. 337-347 - Hiroyuki Deguchi, Akihiro Tamura, Takashi Ninomiya:
Synchronous Syntactic Attention for Transformer Neural Machine Translation. 348-355
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