1 citations · 3 across the 6 of their papers we have counts for
6 papers
Asking and Answering Questions to Extract Event-Argument Structures
Md Nayem Uddin, Enfa Rose George, Eduardo Blanco +1
This paper presents a question-answering approach to extract document-level event-argument structures. We automatically ask and answer questions for each argument type an event may…
Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains
Zijie Wang, Farzana Rashid, Eduardo Blanco
People often answer yes-no questions without explicitly saying yes, no, or similar polar keywords. Figuring out the meaning of indirect answers is challenging, even for large langu…
Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction
Md Nayem Uddin, Enfa Rose George, Eduardo Blanco +1
This paper presents multiple question generation strategies for document-level event argument extraction. These strategies do not require human involvement and result in uncontextu…
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco +2
Pre-trained language models (PLMs) have consistently demonstrated outstanding performance across a diverse spectrum of natural language processing tasks. Nevertheless, despite thei…
Interpreting Answers to Yes-No Questions in User-Generated Content
Shivam Mathur, Keun Hee Park, Dhivya Chinnappa +2
Interpreting answers to yes-no questions in social media is difficult. Yes and no keywords are uncommon, and the few answers that include them are rarely to be interpreted what the…
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
Zijie Wang, Md Mosharaf Hossain, Shivam Mathur +8
Yes-no questions expect a yes or no for an answer, but people often skip polar keywords. Instead, they answer with long explanations that must be interpreted. In this paper, we foc…