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Found 5 papers, 3 papers with code
Adapting Coreference Resolution Models through Active Learning
Active learning mitigates this problem by sampling a small subset of data for annotators to label.
LOME: Large Ontology Multilingual Extraction
We present LOME, a system for performing multilingual information extraction.
On Measuring Social Biases in Sentence Encoders
The Word Embedding Association Test shows that GloVe and word2vec word embeddings exhibit human-like implicit biases based on gender, race, and other social constructs (Caliskan et al., 2017).
Streaming Word Embeddings with the Space-Saving Algorithm
We develop a streaming (one-pass, bounded-memory) word embedding algorithm based on the canonical skip-gram with negative sampling algorithm implemented in word2vec.
An Analysis of Lemmatization on Topic Models of Morphologically Rich Language
Topic models are typically represented by top-$m$ word lists for human interpretation.
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