Papers
Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach
Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer
Identifying stable speech-language markers of autism in children: Preliminary evidence from a longitudinal telephony-based study
Sunghye Cho, Riccardo Fusaroli, Maggie Rose Pelella et al.
IDPG: An Instance-Dependent Prompt Generation Method
Zhuofeng Wu, Sinong Wang, Jiatao Gu et al.
IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes
Tathagata Raha, Sagar Joshi, Vasudeva Varma
IIIT-MLNS at SemEval-2022 Task 8: Siamese Architecture for Modeling Multilingual News Similarity
Sagar Joshi, Dhaval Taunk, Vasudeva Varma
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English
Tanuj Shekhawat, Manoj Kumar, Udaybhan Rathore et al.
IIT DHANBAD CODECHAMPS at SemEval-2022 Task 5: MAMI - Multimedia Automatic Misogyny Identification
Shubham Barnwal, Ritesh Kumar, Rajendra Pamula
IITR CodeBusters at SemEval-2022 Task 5: Misogyny Identification using Transformers
Gagan Sharma, Gajanan Sunil Gitte, Shlok Goyal et al.
Imagination-Augmented Natural Language Understanding
Yujie Lu, Wanrong Zhu, Xin Wang et al.
Impact of Training Instance Selection on Domain-Specific Entity Extraction using BERT
Eileen Salhofer, Xing Lan Liu, Roman Kern
Implicit n-grams Induced by Recurrence
Xiaobing Sun, Wei Lu
Improved Induction of Narrative Chains via Cross-Document Relations
Andrew Blair-stanek, Benjamin Van Durme
Improve Discourse Dependency Parsing with Contextualized Representations
Yifei Zhou, Yansong Feng
Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation
Xiruo Ding, Kevin Lybarger, Justin Tauscher et al.
Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks
Şaziye Betül Özateş, Arzucan Özgür, Tunga Gungor et al.
Improving Compositional Generalization with Latent Structure and Data Augmentation
Linlu Qiu, Peter Shaw, Panupong Pasupat et al.
Improving Constituent Representation with Hypertree Neural Networks
Hao Zhou, Gongshen Liu, Kewei Tu
Improving Contextual Representation with Gloss Regularized Pre-training
Yu Lin, Zhecheng An, Peihao Wu et al.
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information
Bowen Yang, Cong Han, Yu Li et al.
Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference
Clara Vania, Grace Lee, Andrea Pierleoni
Improving Entity Disambiguation by Reasoning over a Knowledge Base
Tom Ayoola, Joseph Fisher, Andrea Pierleoni
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions
Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text
Li Zhenzhen, Yuyang Zhang, Jian-Yun Nie et al.
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation
Florian Ludwig, Klara Dolos, Torsten Zesch et al.
Improving In-Context Few-Shot Learning via Self-Supervised Training
Mingda Chen, Jingfei Du, Ramakanth Pasunuru et al.