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Found 9 papers, 3 papers with code
NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification With Linguistic Information
Event Sentence Coreference Identification (ESCI) aims to cluster event sentences that refer to the same event together for information extraction.
Suicide Risk Prediction by Tracking Self-Harm Aspects in Tweets: NUS-IDS at the CLPsych 2021 Shared Task
We describe our system for identifying users at-risk for suicide based on their tweets developed for the CLPsych 2021 Shared Task.
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation
Indeed, QG models continue to be evaluated using traditional measures such as BLEU, METEOR, and ROUGE scores which were designed for other text generation problems.
On the Use of Web Search to Improve Scientific Collections
We were able to obtain ~267, 000 unique research papers through our fully-automated framework using ~76, 000 queries, resulting in almost 200, 000 more papers than the number of queries.
On Generating Fact-Infused Question Variations
We study a double encoder-decoder model, Fact-Infused Question Generator (FIQG), for learning to generate fact-infused questions from a given question.
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection
Accurate detection of emotions in user- generated text was shown to have several applications for e-commerce, public well-being, and disaster management.
Keyphrase Extraction using Sequential Labeling
Keyphrases efficiently summarize a document's content and are used in various document processing and retrieval tasks.
