Papers
Identification of profession & occupation in Health-related Social Media using tweets in Spanish
Victoria Pachón, Jacinto Mata Vázquez, Juan Luís Domínguez Olmedo
Identifying and Resolving Annotation Changes for Natural Language Understanding
Jose Garrido Ramas, Giorgio Pessot, Abdalghani Abujabal et al.
Identifying Automatically Generated Headlines using Transformers
Antonis Maronikolakis, Hinrich Schütze, Mark Stevenson
Identifying Distributional Perspectives from Colingual Groups
Yufei Tian, Tuhin Chakrabarty, Fred Morstatter et al.
Identifying Helpful Sentences in Product Reviews
Iftah Gamzu, Hila Gonen, Gilad Kutiel et al.
Identifying inherent disagreement in natural language inference
Xinliang Frederick Zhang, Marie-Catherine de Marneffe
Identifying Medical Self-Disclosure in Online Communities
Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea et al.
Identifying professions & occupations in Health-related Social Media using Natural Language Processing
Alberto Mesa Murgado, Ana Parras Portillo, Pilar López Úbeda et al.
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering
Vikas Yadav, Steven Bethard, Mihai Surdeanu
IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets
Varad Pimpalkhute, Prajwal Nakhate, Tausif Diwan
IITP-CUNI@3C: Supervised Approaches for Citation Classification (Task A) and Citation Significance Detection (Task B)
Kamal Kaushik Varanasi, Tirthankar Ghosal, Piyush Tiwary et al.
IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus
Ramakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal et al.
“I’m Not Mad”: Commonsense Implications of Negation and Contradiction
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula et al.
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management
Zhengxu Hou, Bang Liu, Ruihui Zhao et al.
Implicitly Abusive Language – What does it actually look like and why are we not getting there?
Michael Wiegand, Josef Ruppenhofer, Elisabeth Eder
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
Peng Su, Yifan Peng, K. Vijay-Shanker
Improving Biomedical Pretrained Language Models with Knowledge
Zheng Yuan, Yijia Liu, Chuanqi Tan et al.
Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate
Ilia Markov, Walter Daelemans
Improving Cross-Lingual Sentiment Analysis via Conditional Language Adversarial Nets
Hemanth Kandula, Bonan Min
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information
Jialu Li, Hao Tan, Mohit Bansal
Improving Evidence Retrieval for Automated Explainable Fact-Checking
Chris Samarinas, Wynne Hsu, Mong Li Lee
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura, Yuhao Zhang, Emily Tsai et al.
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Sihao Chen, Fan Zhang, Kazoo Sone et al.
Improving Generation and Evaluation of Visual Stories via Semantic Consistency
Adyasha Maharana, Darryl Hannan, Mohit Bansal
Improving Hate Speech Type and Target Detection with Hateful Metaphor Features
Jens Lemmens, Ilia Markov, Walter Daelemans