The International Conference On Computational Linguistics (COLING 2022) is being held from October 12 to 17, 2022 virtually as well as in person in Gyeongju, South Korea. COLING is one of the top research conferences on natural language processing. In recent years, deep learning approaches have been prominently featured in the papers presented at this conference.
Adobe Research has co-authored a total of seven papers at the conference, and one workshop paper. The research topics include question understanding, machine translation, keyphrase prediction, offensive text detection, event extraction and many more. Adobe Research has also co-organized the Workshop on Transcript Understanding.
Many of the accepted papers are the result of student internships or other collaborations with university students and faculty. Check out Adobe Research’s careers page to learn more about internships and full-time career opportunities.
COLING 2022 conference – Adobe co-authored papers
Main conference papers
Event Extraction in Video Transcripts Amir Pouran Ben Veyseh, Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen Keyphrase Prediction from Video Transcripts: New Dataset and Directions Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon, Varun Manjunatha, Hanieh Deilamsalehy, Rajiv Jain, Trung Bui, Walter Chang, Franck Dernoncourt, Thien Huu Nguyen MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, Thien Huu Nguyen MECI: A Multilingual Dataset for Event Causality Identification Viet Dac Lai, Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt, Thien Huu Nguyen Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision Khalil Mrini, Harpreet Singh, Franck Dernoncourt, Seunghyun Yoon, Trung Bui, Walter Chang, Emilia Farcas, Ndapa Nakashole Offensive Content Detection Via Synthetic Code-Switched Text Cesa Salaam, Franck Dernoncourt, Trung Bui, David Seunghyun Yoon Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval Yeon Seonwoo, David Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Alice Oh Workshop paper BehanceMT: A Machine Translation Corpus for Livestreaming Video Transcripts Minh Nguyen, Viet Dac Lai, Franck Dernoncourt, Thien Nguyen Presented at the Workshop on Transcript Understanding.