activity
20172023
most citedChemical-Reaction-Aware Molecule Representation Learning

35 citations · 132 across the 26 of their papers we have counts for

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26 papers · 1 filter

cs.CL2023

Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs

Mingyang Zhou, Yi R. Fung, Long Chen +3

Building cross-model intelligence that can understand charts and communicate the salient information hidden behind them is an appealing challenge in the vision and language(V+L) co…

cs.CL2023

Non-Sequential Graph Script Induction via Multimedia Grounding

Yu Zhou, Sha Li, Manling Li +4

Online resources such as WikiHow compile a wide range of scripts for performing everyday tasks, which can assist models in learning to reason about procedures. However, the scripts…

cs.CL20231 cited

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning

Zhenrui Yue, Huimin Zeng, Mengfei Lan +2

With emerging online topics as a source for numerous new events, detecting unseen / rare event types presents an elusive challenge for existing event detection methods, where only…

cs.CL20224 cited

Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval

Revanth Gangi Reddy, Md Arafat Sultan, Martin Franz +2

We show that supervised neural information retrieval (IR) models are prone to learning sparse attention patterns over passage tokens, which can result in key phrases including name…

cs.CL2022

Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention

Carl Edwards, Heng Ji

Most event extraction methods have traditionally relied on an annotated set of event types. However, creating event ontologies and annotating supervised training data are expensive…

cs.CL20211 cited

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Yu Meng, Yunyi Zhang, Jiaxin Huang +4

We study the problem of training named entity recognition (NER) models using only distantly-labeled data, which can be automatically obtained by matching entity mentions in the raw…