Citation Intent Classification
State-of-the-art leaderboards
| Trend | Dataset | Best Method | Paper title | Paper | Code | Compare |
|---|---|---|---|---|---|---|
|
||||||
|
Greatest papers with code
Deep contextualized word representations
NAACL 2018
• zalandoresearch/flair
• 
We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e. g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i. e., to model polysemy).
#3 best model for
Sentiment Analysis
on SST-5 Fine-grained classification
CITATION INTENT CLASSIFICATION COREFERENCE RESOLUTION LANGUAGE MODELLING NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC ROLE LABELING SENTIMENT ANALYSIS
SciBERT: Pretrained Contextualized Embeddings for Scientific Text
• allenai/scibert
•
Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive.
SOTA for Named Entity Recognition on NCBI-disease (using extra training data)
CITATION INTENT CLASSIFICATION DEPENDENCY PARSING MEDICAL NAMED ENTITY RECOGNITION PARTICIPANT INTERVENTION COMPARISON OUTCOME EXTRACTION RELATION EXTRACTION SENTENCE CLASSIFICATION
Structural Scaffolds for Citation Intent Classification in Scientific Publications
Identifying the intent of a citation in scientific papers (e. g., background information, use of methods, comparing results) is critical for machine reading of individual publications and automated analysis of the scientific literature.
CITATION INTENT CLASSIFICATION INTENT CLASSIFICATION READING COMPREHENSION SENTENCE CLASSIFICATION
