12 citations · 29 across the 52 of their papers we have counts for
12 papers · 1 filter
SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents
Qi Zhang, Zhijia Chen, Huitong Pan +3
Scientific information extraction (SciIE) is critical for converting unstructured knowledge from scholarly articles into structured data (entities and relations). Several datasets…
Stanceformer: Target-Aware Transformer for Stance Detection
Krishna Garg, Cornelia Caragea
The task of Stance Detection involves discerning the stance expressed in a text towards a specific subject or target. Prior works have relied on existing transformer models that la…
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics
Adrian Cosma, Stefan Ruseti, Mihai Dascalu +1
Natural Language Inference (NLI) evaluation is crucial for assessing language understanding models; however, popular datasets suffer from systematic spurious correlations that arti…
On the Design Space Between Transformers and Recursive Neural Nets
Jishnu Ray Chowdhury, Cornelia Caragea
In this paper, we study two classes of models, Recursive Neural Networks (RvNNs) and Transformers, and show that a tight connection between them emerges from the recent development…
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding
Huitong Pan, Qi Zhang, Cornelia Caragea +2
Flowcharts are graphical tools for representing complex concepts in concise visual representations. This paper introduces the FlowLearn dataset, a resource tailored to enhance the…
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions
Huitong Pan, Qi Zhang, Cornelia Caragea +2
We present SciDMT, an enhanced and expanded corpus for scientific mention detection, offering a significant advancement over existing related resources. SciDMT contains annotated s…
Co-training for Low Resource Scientific Natural Language Inference
Mobashir Sadat, Cornelia Caragea
Scientific Natural Language Inference (NLI) is the task of predicting the semantic relation between a pair of sentences extracted from research articles. The automatic annotation m…
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus
Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu
Natural language inference (NLI), the task of recognizing the entailment relationship in sentence pairs, is an actively studied topic serving as a proxy for natural language unders…
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM
Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan +5
In e-commerce, accurately extracting product attribute values from multimodal data is crucial for improving user experience and operational efficiency of retailers. However, previo…
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
Mobashir Sadat, Cornelia Caragea
The task of scientific Natural Language Inference (NLI) involves predicting the semantic relation between two sentences extracted from research articles. This task was recently pro…
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
Henry Peng Zou, Vinay Samuel, Yue Zhou +5
Existing datasets for attribute value extraction (AVE) predominantly focus on explicit attribute values while neglecting the implicit ones, lack product images, are often not publi…
Investigating Recurrent Transformers with Dynamic Halt
Jishnu Ray Chowdhury, Cornelia Caragea
In this paper, we comprehensively study the inductive biases of two major approaches to augmenting Transformers with a recurrent mechanism: (1) the approach of incorporating a dept…