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Found 6 papers, 1 papers with code
URL-BERT: Training Webpage Representations via Social Media Engagements
Common language model (LM) encoders such as BERT can be used to understand and represent the textual content of webpages.
NTULM: Enriching Social Media Text Representations with Non-Textual Units
We refer to these annotations as Non-Textual Units (NTUs).
TweetNERD -- End to End Entity Linking Benchmark for Tweets
Named Entity Recognition and Disambiguation (NERD) systems are foundational for information retrieval, question answering, event detection, and other natural language processing (NLP) applications.
Improving Zero-Shot Event Extraction via Sentence Simplification
We show how such context simplification can improve the performance of MRC-based event extraction by more than 5% for actor extraction and more than 10% for target extraction.
Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation
The model is used to preprocess source sentences of multiple low-resource language pairs.
Low Rank Factorization for Compact Multi-Head Self-Attention
Effective representation learning from text has been an active area of research in the fields of NLP and text mining.
