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Found 13 papers, 7 papers with code
FanfictionNLP: A Text Processing Pipeline for Fanfiction
The pipeline includes modules for character identification and coreference, as well as the attribution of quotes and narration to those characters.
Literature-Augmented Clinical Outcome Prediction
We present BEEP (Biomedical Evidence-Enhanced Predictions), a novel approach for clinical outcome prediction that retrieves patient-specific medical literature and incorporates it into predictive models.
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks
We reflect on the question: have transfer learning methods sufficiently addressed the poor performance of benchmark-trained models on the long tail?
STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models
We demonstrate the utility of extracted cues by integrating them with an event ordering model using a joint BiLSTM and ILP constraint architecture.
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift
Our best-performing models reach F1 scores of 70. 0 and 72. 9 on notes and conversations respectively, using no labeled data from target domains.
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation
We tackle the task of building supervised event trigger identification models which can generalize better across domains.
TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events
Prior work on temporal relation classification has focused extensively on event pairs in the same or adjacent sentences (local), paying scant attention to discourse-level (global) pairs.
Using Functional Schemas to Understand Social Media Narratives
We propose a novel take on understanding narratives in social media, focusing on learning {''}functional story schemas{''}, which consist of sets of stereotypical functional structures.
Exploring Numeracy in Word Embeddings
In this work, we show that existing embedding models are inadequate at constructing representations that capture salient aspects of mathematical meaning for numbers, which is important for language understanding.
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference
Quantitative reasoning is a higher-order reasoning skill that any intelligent natural language understanding system can reasonably be expected to handle.
Stress Test Evaluation for Natural Language Inference
Natural language inference (NLI) is the task of determining if a natural language hypothesis can be inferred from a given premise in a justifiable manner.
Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision
In this paper, we describe a system for automatic construction of user disease progression timelines from their posts in online support groups using minimal supervision.
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B
In this paper, we describe our participation in phase B of task 5b of the fifth edition of the annual BioASQ challenge, which includes answering factoid, list, yes-no and summary questions from biomedical data.
