Papers
Enhancing Information Retrieval in Fact Extraction and Verification
Daniel Guzman Olivares, Lara Quijano, Federico Liberatore
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction
Zixuan Zhang, Heba Elfardy, Markus Dreyer et al.
Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation
Long Phan, Tai Dang, Hieu Tran et al.
Enriching Multiword Terms in Wiktionary with Pronunciation Information
Lenka Bajcetic, Thierry Declerck, Gilles Sérasset
Entity-Aware Dual Co-Attention Network for Fake News Detection
Sin-han Yang, Chung-chi Chen, Hen-Hsen Huang et al.
Entity Disambiguation with Entity Definitions
Luigi Procopio, Simone Conia, Edoardo Barba et al.
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding
Janvijay Singh, Fan Bai, Zhen Wang
ERATE: Efficient Retrieval Augmented Text Embeddings
Vatsal Raina, Nora Kassner, Kashyap Popat et al.
Estimating Numbers without Regression
Avijit Thawani, Jay Pujara, Ashwin Kalyan
EVALIGN: Visual Evaluation of Translation Alignment Models
Tariq Yousef, Gerhard Heyer, Stefan Jänicke
Evaluating and Improving the Coreference Capabilities of Machine Translation Models
Asaf Yehudai, Arie Cattan, Omri Abend et al.
Evaluating Sentence Alignment Methods in a Low-Resource Setting: An English-YorùBá Study Case
Edoardo Signoroni, Pavel Rychlý
Evaluating the Diversity, Equity, and Inclusion of NLP Technology: A Case Study for Indian Languages
Simran Khanuja, Sebastian Ruder, Partha Talukdar
Evaluating the Robustness of Discrete Prompts
Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh et al.
Evaluating the Sesotho rule-based syllabification system on Sepedi and Setswana words
Johannes Sibeko, Mmasibidi Setaka
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization
Markus Dreyer, Mengwen Liu, Feng Nan et al.
Event Linking: Grounding Event Mentions to Wikipedia
Xiaodong Yu, Wenpeng Yin, Nitish Gupta et al.
Event Temporal Relation Extraction with Bayesian Translational Model
Xingwei Tan, Gabriele Pergola, Yulan He
Exploiting Language Characteristics for Legal Domain-Specific Language Model Pretraining
Inderjeet Nair, Natwar Modani
Exploiting Summarization Data to Help Text Simplification
Renliang Sun, Zhixian Yang, Xiaojun Wan
Exploring Category Structure with Contextual Language Models and Lexical Semantic Networks
Joseph Renner, Pascal Denis, Remi Gilleron et al.
Exploring Data Augmentation for Code Generation Tasks
Pinzhen Chen, Gerasimos Lampouras
Exploring Enhanced Code-Switched Noising for Pretraining in Neural Machine Translation
Vivek Iyer, Arturo Oncevay, Alexandra Birch
Exploring Paracrawl for Document-level Neural Machine Translation
Yusser Al Ghussin, Jingyi Zhang, Josef van Genabith
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text
Marwa Gaser, Manuel Mager, Injy Hamed et al.