41 citations · 128 across the 22 of their papers we have counts for
25 papers
Linguistic representations for fewer-shot relation extraction across domains
Sireesh Gururaja, Ritam Dutt, Tinglong Liao +1
Recent work has demonstrated the positive impact of incorporating linguistic representations as additional context and scaffolding on the in-domain performance of several NLP tasks…
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction
Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik +2
Event Temporal Relation Extraction (ETRE) is paramount but challenging. Within a discourse, event pairs are situated at different distances or the so-called proximity bands. The te…
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks
Aakanksha Naik, Jill Lehman, Carolyn Rose
Natural language understanding (NLU) has made massive progress driven by large benchmarks, but benchmarks often leave a long tail of infrequent phenomena underrepresented. We refle…
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling
Xiaopeng Lu, Zhen Fan, Yansen Wang +2
As an important task in multimodal context understanding, Text-VQA (Visual Question Answering) aims at question answering through reading text information in images. It differentia…
STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models
Luke Breitfeller, Aakanksha Naik, Carolyn Rose
Despite achieving state-of-the-art accuracy on temporal ordering of events, neural models showcase significant gaps in performance. Our work seeks to fill one of these gaps by leve…
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
Sopan Khosla, James Fiacco, Carolyn Rose
Recent work on entity coreference resolution (CR) follows current trends in Deep Learning applied to embeddings and relatively simple task-related features. SOTA models do not make…