activity
20202022
most citedAcronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding

12 citations · 20 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2022★ 1 cited

Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision

Khalil Mrini, Harpreet Singh, Franck Dernoncourt +5

Current medical question answering systems have difficulty processing long, detailed and informally worded questions submitted by patients, called Consumer Health Questions (CHQs).…

cs.CL2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

Jianguo Zhang, Trung Bui, Seunghyun Yoon +6

In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar. We present a simple yet effective few-…

cs.CL2021

StreamHover: Livestream Transcript Summarization and Annotation

Sangwoo Cho, Franck Dernoncourt, Tim Ganter +7

With the explosive growth of livestream broadcasting, there is an urgent need for new summarization technology that enables us to create a preview of streamed content and tap into…

cs.CL2021★ 4 cited

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

Tuan Lai, Heng Ji, Trung Bui +3

Event coreference resolution is an important research problem with many applications. Despite the recent remarkable success of pretrained language models, we argue that it is still…

cs.CL2021★ 12 cited

Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding

Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen +2

Acronyms are the short forms of longer phrases and they are frequently used in writing, especially scholarly writing, to save space and facilitate the communication of information.…

cs.CL2020★ 1 cited

Scene Graph Modification Based on Natural Language Commands

Xuanli He, Quan Hung Tran, Gholamreza Haffari +5

Structured representations like graphs and parse trees play a crucial role in many Natural Language Processing systems. In recent years, the advancements in multi-turn user interfa…