Transfer learning in biomedical natural language processing: an evaluation of BERT and ELMo on ten benchmarking datasets
Inspired by the success of the General Language Understanding Evaluation benchmark, we
introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to …
introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to …
[PDF][PDF] context2vec: Learning generic context embedding with bidirectional lstm
Context representations are central to various NLP tasks, such as word sense
disambiguation, named entity recognition, coreference resolution, and many more. In this …
disambiguation, named entity recognition, coreference resolution, and many more. In this …
Simverb-3500: A large-scale evaluation set of verb similarity
Verbs play a critical role in the meaning of sentences, but these ubiquitous words have
received little attention in recent distributional semantics research. We introduce SimVerb …
received little attention in recent distributional semantics research. We introduce SimVerb …
A comparative evaluation and analysis of three generations of Distributional Semantic Models
Distributional semantics has deeply changed in the last decades. First, predict models stole
the thunder from traditional count ones, and more recently both of them were replaced in …
the thunder from traditional count ones, and more recently both of them were replaced in …
Multi-simlex: A large-scale evaluation of multilingual and crosslingual lexical semantic similarity
Abstract We introduce Multi-SimLex, a large-scale lexical resource and evaluation
benchmark covering data sets for 12 typologically diverse languages, including major …
benchmark covering data sets for 12 typologically diverse languages, including major …
Learning cognitive features from gaze data for sentiment and sarcasm classification using convolutional neural network
Cognitive NLP systems-ie, NLP systems that make use of behavioral data-augment
traditional text-based features with cognitive features extracted from eye-movement patterns …
traditional text-based features with cognitive features extracted from eye-movement patterns …
[PDF][PDF] Intrinsic evaluations of word embeddings: What can we do better?
A Gladkova, A Drozd - Proceedings of the 1st Workshop on …, 2016 - aclanthology.org
This paper presents an analysis of existing methods for the intrinsic evaluation of word
embeddings. We show that the main methodological premise of such evaluations is …
embeddings. We show that the main methodological premise of such evaluations is …
The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning
Pseudowords have long served as key tools in psycholinguistic investigations of the lexicon.
A common assumption underlying the use of pseudowords is that they are devoid of …
A common assumption underlying the use of pseudowords is that they are devoid of …
Explicit retrofitting of distributional word vectors
Semantic specialization of distributional word vectors, referred to as retrofitting, is a process
of fine-tuning word vectors using external lexical knowledge in order to better embed some …
of fine-tuning word vectors using external lexical knowledge in order to better embed some …
[PDF][PDF] On the role of seed lexicons in learning bilingual word embeddings
A shared bilingual word embedding space (SBWES) is an indispensable resource in a
variety of cross-language NLP and IR tasks. A common approach to the SBWES induction is …
variety of cross-language NLP and IR tasks. A common approach to the SBWES induction is …