38 citations · 238 across the 42 of their papers we have counts for
6 papers · 2 filters
Survey on the Use of Typological Information in Natural Language Processing
Helen O'Horan, Yevgeni Berzak, Ivan Vulić +2
In recent years linguistic typology, which classifies the world's languages according to their functional and structural properties, has been widely used to support multilingual NL…
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
Daniela Gerz, Ivan Vulić, Felix Hill +2
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-…
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations
Ivan Vulić, Roy Schwartz, Ari Rappoport +2
This paper is concerned with identifying contexts useful for training word representation models for different word classes such as adjectives (A), verbs (V), and nouns (N). We int…
HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment
Ivan Vulić, Daniela Gerz, Douwe Kiela +2
We introduce HyperLex - a dataset and evaluation resource that quantifies the extent of of the semantic category membership, that is, type-of relation also known as hyponymy-hypern…
Anchoring and Agreement in Syntactic Annotations
Yevgeni Berzak, Yan Huang, Andrei Barbu +2
We present a study on two key characteristics of human syntactic annotations: anchoring and agreement. Anchoring is a well known cognitive bias in human decision making, where judg…
Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill, Kyunghyun Cho, Anna Korhonen
Unsupervised methods for learning distributed representations of words are ubiquitous in today's NLP research, but far less is known about the best ways to learn distributed phrase…